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Lead Data Engineer

Lead Data Engineer

Monday, July 24, 2023

Direct Hire

Remote, United States

The Role:

We are seeking a Lead Data Engineer to join our Engineering team and lead the creation of a best-in-the-market data platform. In this role you will drive the planning and development of data solutions and applications that power critical business decisions. You will be a cornerstone of our future success, driving innovation and a culture of data-driven decision-making.

Who you are:

  • A hands-on technical lead who brings expertise, enthusiasm, and curiosity to the role.
  • You are passionate about building data systems that can grow as the company grows.
  • Continually learning and exploring the latest in tooling, design approaches, and optimizations in the data space.
  • A willing and open-minded interlocutor on the critical decisions around technical solutions to hard problems.
  • You embrace the opportunity to contribute to how the business can consume the data we make available to them.
  • Excited about building data systems that meet the needs of a very ambitious business.
  • You welcome working in a fast-paced environment.
  • You can run with high-level objectives and slice them into executable iterations.
  • You are fired up by the chance to solve challenging problems, where creativity is as crucial as your ability to design data systems and write good code.
  • A willingness to accept failure, learn, and iterate towards better solutions.
  • You are a fun to work with, a willing mentor, and learner.

Requirements; What you Bring: 

  • An experienced data engineer with at least 5 years as a technical lead, and 10 years in total, working on building and extending complex data platforms
  • A background of leading complex projects that you can explain clearly to a non-technical audience.
  • Demonstrated experience building and driving a data team roadmap with clearly defined and measurable KPIs
  • Programming skills: Python, Java, or equivalent
  • Very strong SQL writing and tuning skills
  • Experience in data warehouse modeling, and master data management solutions.
  • Experience building data pipelines with at least two industry standard tools (Spark, Hive, Airflow, Stitch, etc.)
  • Experience with data pipeline observability strategies and implementations
  • Experience building or maintaining Streaming Platforms with Kafka
  • Keen understanding of how to apply modern software development practices (Agile, TDD, CICD) to data engineering effort.
  • A sense of humor!

Nice to Have:

  • Skills in implementing containerization solutions using Kubernetes, Docker, etc., including containerization observability
  • Experience working with “Big Data as a Service” tools, like AWS’s EMR or Azure’s HDInsight Building and extending ML and Data Science platforms
  • Experience integrating data flows with 3rd party BI platforms, like Domo, Tableau, Sisense, etc.



  • Competitive Salary with a Bonus Structure
  • Health, Dental, and Vision
  • Generous PTO
  • 401K Matching


  • $160 - $200k

Something else that’s important to you? Talk to us. We’re flexible and committed to providing a healthy work environment where great people can thrive.

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