Data Engineer

Data Engineer

This full-time role of Data Engineer is a remote position. The Data Engineer will design,
implement, and optimize data pipelines and workflows within the Databricks environment,
ensuring the efficient collection, transformation, and storage of data. Responsibilities
include building robust ETL processes, developing and maintaining data models, and
creating highly scalable and reliable data warehouses. The engineer will analyze and
interpret large datasets, enabling stakeholders to make data driven decisions and support
strategic initiatives across the organization.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and workflows within the
Databricks environment

• Build and optimize ETL/ELT processes to support ingestion, transformation, and delivery
of structured and semi-structured data

• Develop and maintain data models and enterprise data warehouse solutions to support
reporting, analytics, and mission operations

• Collaborate with cross-functional teams including data analysts, developers, and
government stakeholders to gather requirements and deliver data solutions

• Perform data validation, data quality checks, and troubleshooting to ensure integrity and
reliability of datasets

• Support data analytics initiatives by preparing datasets and enabling stakeholders to
derive actionable insights

• Maintain technical documentation for data pipelines, models, and workflows and support
ongoing enhancements

• Follow federal data security, governance, and privacy requirements aligned to U.S. Coast
Guard systems and policies Job Requirements:

• Must be a US Citizen
,• Ability to obtain and maintain a Public Trust background investigation (minimum
requirement)

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related
technical field

• 2–5 years of experience in data engineering, ETL development, or data platform
engineering

• Hands-on experience building production-grade ETL/ELT pipelines and scalable data
workflows

• Experience with Databricks, Apache Spark, or similar distributed data processing
frameworks

• Strong proficiency in Python, SQL, or Scala for data engineering and pipeline
development

• Experience designing and maintaining data warehouse and lakehouse architectures

• Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform
Preferred:

• Experience implementing Databricks medallion architecture (bronze/silver/gold)

• Familiarity with Delta Lake, Unity Catalog, or structured streaming within Databricks

• Experience working in Agile/Scrum development environments supporting federal IT
programs

• Exposure to federal data security standards and compliance frameworks (e.g., FISMA,
NIST)