Data Engineer - Sr

About the role

We are looking for a Data Engineer to build data integration (ETL) pipelines that transform large volumes of data with speed and quality. You will keep applications well managed and must be able to respond to production issues promptly.

Responsibilities

• Design and build data integration (ETL) pipelines for large-scale data transformation
• Ensure data pipelines run with speed and quality
• Manage and maintain data applications
• Respond promptly to production issues

Requirements

• Strong hands-on experience in data engineering
• Python
• Apache Spark
• AWS Glue
• Apache Airflow
• SQL
• Databricks
• Snowflake

Qualifications

• API development (nice to have)

Location & schedule

Hybrid role based in McLean, VA. Onsite interview required (one round); candidates must be local or willing to travel for the interview.

Pay

$75–$80 per hour (final compensation determined by scope, complexity, location, cost of labor, skills, education, training, credentials, experience, and other conditions of employment).

Benefits

• Medical, dental, and vision coverage
• 401K contributions
• Paid time off and sick leave
• Other benefits mandated by applicable state or local jurisdictions