Data Engineer

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. We are a trusted advisor delivering best-in-class technology solutions in Digital Identity, Cybersecurity, and Risk Management. Our teams combine engineering excellence with a disciplined, forward-leaning approach to solve our clients' hardest technical challenges. We bring an "East Coast address, West Coast attitude" to everything we do, combining mission focus with an innovative, collaborative, and flexible culture that puts people first. Our subject matter experts work at the cutting edge of cybersecurity and technology, delivering identity management, cloud, and security automation solutions that directly impact critical government missions. We believe the best work happens when talented people have the freedom and support to do what they do best.

We don't run on rigid hierarchy or playbooks that are locked in once and expected to work for the rest of time. We're a company of self-starters who take ownership without being asked twice and treat ambiguity as room to run rather than a roadblock. Our practice is growing quickly, and our structure stays intentionally light so ideas can move fast and the people closest to the work have real say in how it gets done. That means this role comes with genuine latitude to shape how we deliver, and outsized opportunity for impact on both our clients and our team.

Growth isn't a perk here, it's an expectation we hold for ourselves and for each other. We build in the time and support for our people to keep sharpening their skills, because the technology we work in doesn't sit still and neither should we. Across our practice, we're putting AI to work in deliberate, high-trust ways, from surfacing patterns in client requirements to accelerating process and quality analysis, so our teams can spend their time and judgment on the problems that actually need it. We invest in our people's growth because it's how we stay ahead of the mission and how our teams keep getting better at what they do.

About the role

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.

What you'll do

• 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.

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.

Salary Range: $150,000-$180,000 based on experience and qualifications

Easy Dynamics is an equal opportunity employer. Applicants are considered for positions without discrimination on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, veteran status or any other consideration made unlawful by applicable federal state or local laws.