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.

 

Benefits:

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

Compensation

• $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.