Data Engineer

Easy Dynamics Corporation • McLean, VA

28d • $150,000 - $180,000

About The Position

The Data Engineer is responsible for building and maintaining the data pipelines, storage systems, and processing workflows that power reporting, analytics, and downstream applications across company projects. This role works with Product Management and Engineering to define data requirements and pipeline design, ensuring data solutions are reliable, scalable, and available for both batch and real-time use cases, while helping shape the future data architecture to support increased volume and new use cases.

Requirements

• Associate's degree, or equivalent professional experience.
• 2+ years of IT technical experience, including exposure to data pipeline development, SQL, or scripting.
• Ability to obtain and maintain a U.S. Government Public Trust or Security Clearance.
• Experience with data pipeline orchestration tools such as Airflow, dbt, or similar.
• Familiarity with distributed data processing frameworks, such as Spark or Kafka.
• Experience with cloud data warehouses or lakes, such as Snowflake, BigQuery, Redshift, or S3-based architectures.
• Proficiency in Python for data engineering tasks.
• Understanding of data modeling and data quality best practices.

Responsibilities

• Design, build, and maintain data pipelines (ETL/ELT) that extract, transform, and load data from source systems into target stores.
• Partner with Product Management and downstream teams to define data requirements and data quality expectations.
• Work with Engineering to define pipeline architecture for batch and real-time data processing.
• Write and optimize SQL queries and scripts (Python or similar) to support data transformation and validation.
• Monitor pipeline health, troubleshoot failures, and ensure data availability and reliability.
• Support integration of data sources into cloud data warehouses or data lakes.
• Help define future data architecture to support increased volume, new data sources, and analytics use cases.
• Document data flows, schemas, and pipeline logic for team and stakeholder reference.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree