> Markdown version of [/jobs/ext/1610780-data-engineer](https://www.wearedevelopers.com/jobs/ext/1610780-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Enigma LLC - **Location:** New York, United States - **Experience:** Expert - **Salary:** $180,000.0 - $295,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Infrastructure, Data Systems, Distributed Data Store, Python (Programming Language), Management of Software Versions, Apache Spark, Pyspark, Machine Learning Operations, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/02fa8363-7b57-4358-a8d3-aaea212f9fc4 ## About the Role * Must have 5+ years of engineering or data science experience, including 3+ years working on distributed data systems. * Has practical experience extracting value from data in a creative way to deliver customer impact. * Cares deeply about creating value and wants to learn, ship, and iterate quickly. * Strong collaboration skills and a desire to work in a cross-functional environment. * A principled, metrics-driven approach to solving complex data problems. Bonus Points If You * Have built data products in the entity resolution, sales, marketing, KYB, or credit underwriting space. * Prior experience in Python, Spark and Databricks. ## Description As a Senior Data Engineer, you will be responsible for designing, building, and maintaining our core small business data product. You will collaborate with cross-functional teams to build out new product capabilities starting from raw source data, through scalable data pipelines and models to the customer interface. We embrace customer focus and end-to-end ownership so your impact will be measured by the value we deliver and the technical quality and maintainability of our product. What You'll Do * Understand the unmet needs of our customers and create capabilities to address these. This usually involves a process of exploring data, prototyping, and evaluation, followed by the build of robust and maintainable data pipelines. * Engineer scalable and maintainable data systems that tell the story of millions of U.S. small businesses (we use Databricks SQL, PySpark, and MLFlow). * You'll be building on top of our innovative data infrastructure that's designed for iteration and experimentation (uses Dagster for orchestration and LakeFS for data versioning). * Apply a data-focused, first-principles approach to problem solving. We value candidates who bias towards simple and elegant solutions but have the capability to implement state-of-the-art models and techniques when required. * Inspire your teammates to perform at their best while fostering a collaborative, supportive team culture. What Makes This Role Exciting? * Ownership and Impact: Work directly with customers and internal teams to build product capabilities in an environment of high-trust and responsibility. * Technical Challenge: Tackle complex data and engineering problems, balancing speed of innovation with scalability and reliability. * Learning: Work on unique, high-impact data challenges that require creative problem-solving and cutting-edge techniques. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)