Data Engineer - Scalable ETL & Data Modernization

Hatch IT; Arlington (VA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

401k matching

PPO/HDHP medical dental vision

Education reimbursement

Life insurance

Generous PTO & holidays

Onsite gym access

Commuter benefits

Job summary

hatch I.T. is partnering with Expression to fill the Data Engineer role to support the DEA ICDE modernization effort at DEA Headquarters in Arlington, VA.

The Data Engineer will design, develop, and maintain scalable data pipelines for ingestion, transformation, and migration of structured and unstructured data to enable analytics and AI/ML capabilities. The position requires a Top Secret (SCI) clearance and an onsite presence at DEA Headquarters in Arlington, VA, with collaboration across data

Qualifications

• Bachelor's degree in STEM and 2+ years of professional experience.
• Hands-on experience with data analysis, ETL development, and data migration.
• Proficiency in SQL, including complex queries, data transformations, and performance tuning.
• Familiarity with Python for data manipulation, scripting, and workflow automation.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.
• Support large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem.
• Analyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.
• Implement data cleaning, standardization, validation, classification, and transformation processes to improve data quality and consistency.
• Monitor and ensure data accuracy, completeness, consistency, and integrity across systems and platforms.
• Implement data migration strategies supporting application modernization and transitions across platforms and cloud environments.
• Develop and execute data validation processes and checkpoints throughout data migration activities.
• Collaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.
• Support data interoperability and exchange across integrated systems.
• Monitor pipeline performance, troubleshoot operational issues, and improve reliability, scalability, and efficiency.
• Support data preparation and tagging activities needed for analytics and AI/ML use cases.
• Participate in Agile development activities, including sprint planning, stand-ups, reviews, and retrospectives.
• Document data flows, source-to-target mappings, transformation logic, validation processes, and operational procedures.

Skills

Data analysis

ETL development

SQL

Python

Data migration

Collaboration

Education

Bachelor's degree in STEM

Tools

Apache Airflow

Talend

dbt

AWS

BigQuery

Azure SQL

Power BI

Git

Job description

hatch I.T. is partnering with Expression to fill the Data Engineer role to support the DEA ICDE modernization effort at DEA Headquarters in Arlington, VA.

The Data Engineer will design, develop, and maintain scalable data pipelines for ingestion, transformation, and migration of structured and unstructured data to enable analytics and AI/ML capabilities. The position requires a Top Secret (SCI) clearance and an onsite presence at DEA Headquarters in Arlington, VA, with collaboration across data