Data Engineer: Cloud Pipelines & Analytics

Easy Dynamics; McLean (VA); On-site; USD 150,000 - 180,000; Full time

Job summary

Easy Dynamics designs, builds, and secures the systems that protect our people, places, and way of life. The Data Engineer role focuses on building and maintaining data pipelines and storage systems powering reporting, analytics, and downstream applications across company projects.

You will work with Product Management and Engineering to define data requirements, ensuring reliable, scalable, and real-time data solutions while shaping future data architecture to handle increased volume and new

Qualifications

• 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.

Skills

SQL

Python

Airflow

dbt

Spark

Kafka

Snowflake

BigQuery

Redshift

Data Modeling

Education

Associate's degree

Job description

Easy Dynamics designs, builds, and secures the systems that protect our people, places, and way of life. The Data Engineer role focuses on building and maintaining data pipelines and storage systems powering reporting, analytics, and downstream applications across company projects.

You will work with Product Management and Engineering to define data requirements, ensuring reliable, scalable, and real-time data solutions while shaping future data architecture to handle increased volume and new