Top Data Engineer Jobs Openings in 2025

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.As a Senior Data Engineer, you will lead the design and development of data services and platforms that power our AI-driven products. You'll focus on creating well-structured, validated APIs and event-driven pipelines, enabling scalable, secure, and maintainable data workflows. This is a backend-heavy role ideal for engineers who thrive on clean architecture, automation, and cross-functional delivery.Responsibilities Design and build production-grade **FastAPI services** to serve, validate, and enrich data for ML and analytics use cases Create and maintain **asynchronous event-driven pipelines** using  *Apache Kafka**, ensuring reliable and scalable communication across microservices Define and enforce structured data contracts using **Pydantic** and OpenAPI standards Develop robust, containerized data services with **Docker** and deploy them using modern cloud-native tooling Build and optimize analytical models and data flows in **Amazon Redshift** for business-critical reporting and data science consumption Collaborate with data scientists, ML engineers, and backend developers to streamline data sourcing, transformation, and model inference Own the lifecycle of data services — including monitoring, observability, testing, and deployment pipelines Maintain rigorous standards around data privacy, schema governance, and system performance Design, build, code and maintain large-scale data processing systems and architectures that support AI initiatives. Develop and implement data pipelines and ETL processes to ingest, transform, and load data from various sources. Design and optimize databases and data storage solutions for high performance and scalability. Collaborate with cross-functional teams to understand data requirements and ensure data quality and integrity. Implement data governance and data security measures to protect sensitive data. Monitor and troubleshoot data infrastructure and pipeline issues in a timely manner. Stay up-to-date with the latest trends and technologies in data engineering and recommend improvements to enhance the company's data capabilities. Requirements 7+ years of professional experience in backend-focused data engineering or platform development Strong proficiency in **Python**, with hands-on experience using **FastAPI**, **Pydantic**, and asynchronous programming patterns Deep understanding of **event-driven architectures** and experience with **Kafka** (producers, consumers, schema evolution, retries, etc.) Experience designing and deploying **containerized services** with **Docker** (Kubernetes or Fargate experience is a plus) Proficiency in SQL and experience with modern cloud data warehouses, preferably **Amazon Redshift** Familiarity with cloud services (preferably AWS), including CI/CD, infrastructure-as-code, and observability tooling Experience integrating third-party APIs and working with versioned schema contracts Strong communication and collaboration skills, especially in cross-functional and agile teams Experience working with ML engineers to operationalize models (e.g., batch scoring, online inference, data validation at model boundaries) In-depth knowledge of data modeling, data warehousing, and database design principles. Strong programming skills in Python, SQL, and other relevant languages. Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB Proficiency in data integration and ETL tools, such as Apache Kafka, Apache Airflow, or Informatica. Familiarity with big data processing frameworks, such as Hadoop, Spark, or Flink. Knowledge of cloud platforms, such as AWS, Azure, or GCP, and experience with data storage and processing services in the cloud. Understanding of data governance, data privacy, and data security best practices. Strong problem-solving and troubleshooting skills, with a focus on data quality and system performance. Excellent communication and collaboration skills to work effectively with cross-functional teams. Prior collaborative work with data scientists or machine learning professionals with respect to sourcing, processing and scaling both input and output data Comfortable going through documentation of third-party API’s and identifying best procedures for integrating data from API’s into broader ETL processes  Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Infrastructure Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Data Infrastructure Engineer to build and maintain the foundational systems that power our data platform. In this role, you will design, implement, and optimize scalable, reliable, and secure data infrastructure that supports analytics, data science, and product applications across the company.The ideal candidate is deeply experienced with modern data architectures, cloud platforms, and data orchestration tools. You are passionate about automation, performance tuning, and ensuring high availability of data services. This is a critical role on our data team and offers the opportunity to shape the long-term data strategy of the organization.Responsibilities Design, build, and maintain scalable and resilient data infrastructure in a cloud environment (AWS, Azure, or GCP). Develop and maintain ETL/ELT pipelines using orchestration tools such as Airflow, Dagster, or dbt. Optimize data workflows for reliability, performance, and cost efficiency across structured and unstructured datasets. Manage data lake and data warehouse environments (e.g., Snowflake, BigQuery, Redshift, Delta Lake). Ensure data security, privacy, and compliance, including role-based access control, data encryption, and audit logging. Collaborate with data scientists, analysts, and product teams to ensure data accessibility, accuracy, and availability. Support real-time and batch data processing frameworks, including Kafka, Spark, Flink, or similar tools. Monitor, troubleshoot, and improve the observability and performance of data systems using tools like Prometheus, Grafana, or Datadog. Maintain CI/CD pipelines for data infrastructure using Terraform, GitHub Actions, or similar tools. Requirements 5+ years of experience in data engineering, infrastructure engineering, or a related field. Strong programming skills in Python, Node.js. Proficient in SQL and experience with distributed query engines (e.g., Trino, Presto). Experience with cloud-native data platforms such as AWS Glue Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation). Familiarity with containerization and orchestration tools such as Kafka and Kubernetes. Solid understanding of data governance, quality frameworks, and data lifecycle management. Ability to work in a fast-paced, collaborative environment with a focus on impact and delivery. Experience in streaming data architecture and tools like Apache Kafka, Kinesis, or Pub/Sub. Background in supporting machine learning or analytics platforms. Exposure to data mesh, data contracts, or modern data stack concepts. Knowledge of DevOps principles applied to data systems. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced VP of Data, Analytics and AI to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth AI is seeking a strategic and hands on and execution-oriented Vice President of Data to lead our data function as we scale. This role is central to shaping how data is acquired, structured, commercialized, and governed across the company. The ideal candidate brings deep experience in data strategy, monetization opportunities, and operational excellence—transforming data into a key business asset that drives commercial value, innovation, and competitive advantage. Our Vice President of Data will have distinct expertise in credit modeling and experience collaborating with third-party data providers. This role requires a dynamic leader to drive our data strategy, combining innovative risk solutions with top-tier data science, machine learning, and AI methodologies.ResponsibilitiesHands-On Leadership & Team Management Lead a growing team of approximately five data professionals across engineering, analytics, data science, and governance. Be a hands-on leader who actively engages in code reviews, model reviews, and technical deep dives to stay connected to the day-to-day realities of engineering and data science work. Set a high technical bar while mentoring and developing team members, fostering a culture of innovation, ownership, and collaboration. Data Acquisition & Partnerships Lead the end-to-end strategy for acquiring first-party, second-party, and third-party data sources aligned to business priorities. Evaluate and negotiate data licensing agreements and strategic partnerships to grow our data asset portfolio. Design robust, scalable, and compliant ingestion pipelines for efficient data integration and enrichment. Risk, Fraud, and Credit Model Development Utilize data science, machine learning, and AI techniques to design, test, and deploy advanced risk, fraud, and credit scoring models.Commercial Applications of Data Identify, define, and execute on opportunities to monetize data assets—both directly and through data-enabled products and services. Partner closely with Product, Sales, Marketing, Strategy, and Customer Success to integrate data insights into go-to-market initiatives and client-facing solutions. Translate data into actionable business intelligence that informs strategy and drives measurable business growth. Scalability & Operational Excellence Build scalable, repeatable processes for data management—spanning integration, transformation, quality assurance, and delivery. Champion the adoption of modern data platforms and tools (e.g., Snowflake, Databricks, dbt) to support real-time decision-making and automation. Develop and lead a high-performing data team across engineering, analytics, data science, and governance, fostering a culture of innovation, collaboration, and accountability. Data Governance & Compliance Own and evolve data governance frameworks to ensure integrity, quality, security, and compliance with global regulations (e.g., GDPR, CCPA). Establish clear data ownership and stewardship models, along with standardized policies for access, lineage, and privacy. Proactively manage data risk and embed ethical practices into all aspects of data use and monetization. Cross-Functional Collaboration Partner with engineering, product, finance, and other internal teams to ensure alignment on data initiatives. Serve as the internal advocate for data as a strategic asset, ensuring organizational alignment around data value and strategy. Requirements Bachelor’s or Master’s  in Data Science, Computer Science, Statistics, or a related discipline 10+ years in data leadership roles, including at least 5 years leading large-scale data initiatives in fast-paced, data-driven environments. Experience with risk technology or credit modeling in enterprise contexts is a strong plus. Proven expertise in monetizing data assets and building governance structures at scale. Strong understanding of data platforms (e.g., Snowflake, Databricks), cloud architecture, data pipelines, and modern analytics tooling. Demonstrated ability to lead multidisciplinary teams, craft vision and strategy, and drive tactical execution. Outstanding communication and stakeholder management skills, with the ability to convey complex data concepts to technical and non-technical audiences. Deep experience in data science, machine learning, AI, and credit or risk modeling. Strong problem-solving and data interpretation skills with a focus on delivering results. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what's the role all about? We are seeking a highly skilled and experienced Data Engineer to join our growing company, working on a variety of applications and services to support our omni-channel, interactive communication platform. In this role, you will play a key part in the success of our data delivery, ensuring performance to the highest standards. You'll be part of a multidisciplinary team focused on delivering enterprise-grade data capabilities, leveraging AI best practices and cutting-edge tools to optimize data processing and storage. This isn't just about maintaining systems; it's about shaping the future of data at NiCE. The ideal candidate may have a previous background as a DBA, a developer, or a data scientist. Very good communication skills are essential, as is experience working with complex datasets. You will be someone who's happy to get into the detail of the problem rather than just “manage”, and be prepared to acquire a deep understanding of our data, how it is structured, where the value is, and the operational demands upon it. As an engineer, you need to know what good looks like and be able to measure our progress towards technical excellence, and to do that they must live, eat and breathe NiCE data. How will you make an impact? Contribute significantly to our strategy and architecture with databases and reporting data, shaping the future of our data landscape. Help evolve our standards and best practices with data across the business, incorporating modern AI-driven approaches to data governance and security. Analyze our data and advise where we can realize maximum value from it, using advanced analytical and AI tools to uncover critical insights and drive business decisions. Monitor our database performance and implement AI-powered solutions for proactive anomaly detection and optimization, ensuring robust and efficient data operations. Propose, plan, and execute innovative strategies to allow us to scale the way we process and store our data, with a focus on building resilient, high-performance architectures that push technological boundaries. Work closely with various multidisciplinary teams with touchpoints in this field, fostering collaborative thinking and knowledge sharing across the organization. Continue to develop and apply hands-on skills related to management of our data, and related topics, including the adoption of new AI/ML technologies for data management and continuous personal and professional growth.   Have you got what it takes? Required: Experience working with relational and non-relational databases, key-value and document stores at scale (e.g., MySQL, PostgreSQL, ). Experience working with data warehouse, data lakes, and the associated ETL and reporting tools (e.g., AWS Redshift, Matillion, , Tableau, Looker). Expertise and understanding of architectures needed to build business-centric reports from complex data. Demonstrable data and reporting problem-solving, and data modeling ability. Good knowledge around GDPR compliance, international data governance and security, including how AI tools can assist in these areas. 2+ years of relevant industry experience. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders.   NiCE to have, but not essential: Experience architecting database solutions in AWS with AWS Step Functions. Database and ETL automation experience. Experience with column-based and graph-based databases like Cassandra and Neo4J. Performance, optimization, troubleshooting and tuning skills with relational and non-relational databases. Agile framework experience. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks for data insights. Basic AWS resource management, including microservice deployment. Containerization and orchestration with Docker, Helm and Kubernetes. Infrastructure as Code with Terraform. FedRAMP compliance experience.  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role? As a Member of Technical Staff in the Multilingual team, you will play a crucial role in developing and enhancing our language models to support a wide range of languages. Your primary focus will be on data engineering tasks, including data collection, cleaning, and preparation, to ensure our models perform exceptionally across various linguistic contexts. You will work closely with our research scientists, machine learning engineers, and product teams to deliver high-quality, multilingual AI solutions.This role…Is perfect for someone passionate about languages and AI, with a keen eye for detail and a talent for coding.Offers the opportunity to contribute to cutting-edge language technology, making a global impact.Requires a self-starter who can work independently and deliver results efficiently.Please Note: We have offices in London, Toronto, and New York, but we also embrace being remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.As a Member of Technical Staff for Multilingual you will:Design and implement data pipelines to process and prepare multilingual datasets.Collaborate with researchers to understand data requirements and model performance.Develop tools and scripts to automate data-related tasks and improve efficiency.Ensure data quality and integrity through rigorous testing and validation.Stay updated on the latest advancements in multilingual data processing and contribute to the team's knowledge base.You may be a good fit if you have:A Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred), or equivalent experience.Experience analyzing datasets with respect to quality and suitability for training ML models.Strong software engineering skills, particularly in Python.A strong understanding of data structures, algorithms, and software design principles.Excellent problem-solving skills and the ability to work in a fast-paced environment.Excellent communication skills to collaborate effectively with cross-functional teams and present findings.Prior experience with multilingual data and a passion for natural language processing is a plus.Bonus: One or more first-author papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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SummaryWe’re a small, cross-functional team focused on building AI systems that reason and code. We care deeply about understanding how people interact with these systems and how we can use data to make them safer, smarter, and more useful . We're looking for a Data Engineer to build and own the pipelines and data infrastructure that power our product and research efforts. Your work will directly support model training, evaluation, product analytics, and safety systems. You’ll partner closely with team members building our coding agents to make sure we’re capturing the right signals and using them well. If you’re excited about turning messy product data into actionable insights, and building systems that can scale with our research, we’d love to get connected! Example Projects• Combine synthetic data generation with human annotation platforms to produce high quality data that advances our product and research roadmap.• Design and build resilient, scalable pipelines (ETL and ELT) for batch and streaming data.• Develop and maintain infrastructure to support self-serve analytics, experimentation, and dataset generation. Prototype, evaluate, and make “build vs buy” decisions.• Help define and improve data modeling practices across the company, including instrumentation standards, dimensional modeling for analytics and feature stores for machine learning (ML).• Build integrations with ML infrastructure to support training pipelines, inference logging, and model monitoring (MLOps).• Debug pipeline failures, automate deployment processes, and improve data quality and reusability. You are• A strong software engineer with 5+ years of experience, ideally working with large-scale data systems.• Experienced in designing and maintaining data pipelines and infrastructure, especially for analytics, experimentation, and ML.• Comfortable with tools for data orchestration (Airflow, Prefect), batch or streaming processing (Spark, Ray, Flink), and event tracking and analytics (Amplitude, PostHog).• Experienced with cloud-based infrastructure and storage (e.g., S3, GCP, Snowflake, or Redshift), and thoughtful about cost-performance tradeoffs.• Exposure to MLOps, model serving infrastructure, or ML workflows.• Pragmatic and principled! You know when to optimize and when to ship. Compensation and Benefits• Competitive compensation, equity, and benefits• Lunch provided daily to onsite employees• $250 lifestyle stipend per month• Generous budget for self-improvement: coaching, courses, conferences, etc• Actively co-create and participate in a positive, intentional team culture• Spend time learning, reading papers, and deeply understanding prior work.• Frequent team events, dinners, off-sites, and hanging out.• Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $170,000–$350,000 cash, $10,000–$2,000,000 in equity. How to applyAll submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas. About usImbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents. We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.***This position requires NV1 Clearance OR Eligibility for NV1 clearance*** So, what’s the role all about? The Senior Cloud Database Engineer will ensure SQL Server database performance and availability in a 24x7 environment.  How will you make an impact?   Install, configure, upgrade, monitor, maintain, and manage multiple SQL Server databases. Perform database and application tuning. Establish and maintain sound backup and recovery policies and procedures. Implement and maintain database security Create, maintain, and monitor SQL  Other duties assigned by the manager Have you got what it takes? Bachelor’s degree in Computer Science, Business Information Systems, or related field or equivalent work experience required. 5+ years maintaining SQL Server mission-critical databases  5+ years of TSQL programming  2+ years implementing and maintaining database replication 2+ years implementing and maintaining SQL Server Availability Groups Ability to work with technical and non-technical people  Problem-solving skills are a must  Ability to meet deadlines You will have an advantage if you also have: SSAS/SSRS/SSIS Newer data/streaming platforms: Kafka, MSK, Snowflake, Aurora DB, SNS AWS, AWS CLI management MS Azure database management MCSE/MCDBA/OCP  NET technologies  PowerShell  C# Rubrik TFS/GitHub   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!  Enjoy NICE-FLEX!  At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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