Data Engineer - Remote

Overview

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.

In Short

• Build scalable data pipelines using Python, Spark and Airflow.
• Define and implement the long term technology strategy.
• Provide hands-on technical leadership for the data engineering team.
• Maintain the integrity of our data warehouse and data infrastructure.
• Collaborate with upstream engineering groups.
• Formulate user-friendly data models.
• Contribute to shared data engineering tooling and standards.
• Promote data engineering best practices across the company.

Requirements

• 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 with data modeling and ETL pipelines.
• Experience with batching and streaming data infrastructure.
• Familiarity with data visualization tools (Looker, Tableau, etc).
• Degree in Computer Science or Engineering.
• If local to the Arlington, VA area this will be a hybrid work model.

Benefits

• Flexible and remote work opportunities.
• Generous PTO.
• Exceptional leave programs for all of life’s moments.
• Excellent Medical, Dental, Vision and Prescription Drug Coverage.
• 401(k) Retirement Savings Plan with a 6% Match.
• Employer covered STD, LTD, Life and AD&D Insurance Programs.
• Education Assistance- includes undergraduate/graduate courses.
• Wellness expenses and activities support.