Data Engineer

• Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel.
• Performs data preparation tasks including schema mapping, format conversions, metadata tagging, and movement into bronze, silver, and gold medallion tiers.
• Executes baseline quality checks using profiling tools, validation rules, and drift-monitoring alerts to detect abnormalities within lake environments.
• Applies approved security, IAM, and data-handling patterns under guidance from senior engineers and cybersecurity personnel to support cybersecurity requirements for operational data handling.
• Supports Tier-2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures.
• Updates technical documentation, workflow diagrams, and pipeline inventories within SharePoint, Confluence, and GitLab repositories.
• Tracks performance indicators including data freshness, pipeline run duration, and feature availability, contributing analytical inputs for engineering decision-making.
• Coordinates with developers, platform engineers, and data operations specialists to support routine updates, backlog work, and deployment activities.
• Contributes to operational readiness by executing repeatable engineering tasks that maintain pipeline continuity, strengthen data usability, and support enterprise analytics across mission communities.
• Travel outside the Northern Virginia area is expected to be 15% or less.
• Performs other duties as assigned.

Salary Range: $145,000-160,000

• US Citizen; Must be able to obtain and maintain a Public Trust determination.
• Bachelor’s degree in a STEM field - data engineering or computer science preferred.
• 3+ years of experience in data engineering, software development, or a closely related technical discipline, with foundational exposure to data pipeline construction, ETL workflows, or cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Working knowledge of Python and/or SQL, with familiarity with at least one data orchestration or processing tool such as Apache Airflow, Apache Spark, or AWS Glue.
• Strong teaming and communication skills will be required for this position.

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.