What You’ll Do

As a Data Engineer you will play a critical role in the design, implementation, and maintenance of our data infrastructure and pipelines. You'll collaborate closely with cross-functional teams including engineering, product, and revenue to ensure that our data is accurate, accessible, and reliable for making informed business decisions. Your expertise will contribute to the optimization of data flow and storage, enabling us to extract actionable insights and drive innovation.

• Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.
• Define and implement the long term technology strategy and innovations roadmaps across data engineering areas
• Provide hands-on technical and execution leadership for the data engineering team
• Work with product, engineering, operations, finance, accounting, and other cross functional teams to maintain the integrity of our data warehouse and data infrastructure
• Collaborate closely with upstream engineering groups to elevate data generation approaches
• Collaborate with data recipients across Tekmetric to grasp usage trends and formulate user-friendly data models.
• Ideate and contribute to shared data engineering tooling and standards.
• Define and promote data engineering best practices across the company.

What You’ll Bring

• 5 years experience in software engineering with a focus in data
• Expert in SQL and one or more programming languages (ideally Python, Java or Scala)
• Experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow)
• Experience working with data modeling, data architecture design, and ETL pipelines
• Experience working with batching and streaming data infrastructure
• Familiarity with data visualization tools (Looker, Tableau, etc)
• You enjoy working in fast moving and dynamic environments
• Degree in Computer Science or Engineering
• If local to the Arlington, VA area this will be a hybrid work model