Top Data Engineer Jobs Openings in 2025

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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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About the Role Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers. If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you. Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi Proficiency in version control practices and integrating IaC with CI/CD pipelines. Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Experience with Kubernetes, or containers a plus Responsibilities Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily Analyze and improve the robustness and scalability of existing data processing infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy