Overview

DecisionPointseeks a Data Integration / ETL Engineer to support secure enterprise data flows across a federal and DoD-aligned mission environment. This roleis responsible forbuilding,maintaining, andoptimizingETL pipelines, data ingestion processes, transformation routines, metadata handling, and data quality assurance in support of analytics, reporting, and mission-critical applications.

The Data Integration / ETL Engineer ensures secure, efficient, and reliable data movement across cloud andon-premisesystems while supporting the analytics team with well-structured, clean, and validated datasets. This role plays a keypartin enabling data-driven decision-making across the enterprise.

This position is fully remote.

Duties & Responsibilities

The Data Integration / ETL Engineer will:

• Design, build, andmaintainETL pipelines to support secure and efficient data ingestion, transformation, and delivery.

• Develop andoptimizedata workflows supporting analytics, dashboards, reporting, and enterprise applications.

• Implement data cleansing, validation, deduplication, error handling, and enrichment logic.

• Manage data migrations, schema mapping, and data integration across cloud and on-prem systems.

• Apply secure data handling, encryption, and IL5-compliant data flow controls.

• Perform root cause analysis for data pipeline failures, bottlenecks, and data quality issues.

• Collaborate with the analytics team to structure data models andoptimizedatasets for analysis.

• Maintain metadata, data dictionaries, and documentation supporting data governance activities.

• SupportDevSecOpsworkflows with automated data processes and version-controlled transformations.

• Monitor pipeline performance, storageutilization, and processing efficiency.

• Coordinate with cybersecurity teams to ensure audit trails, logging, and compliance with RMF data-related controls.

• Support the development and maintenance of dashboards and analytics environments with curated datasets.

Qualifications

Clearance Requirement

Must hold an active Top Secret clearance, supported by a Tier 5 background investigation.

Education (Required)

Bachelor27s degree in Data Engineering, Computer Science, Information Technology, Information Systems, ora related field.

Experience (Required)

• Minimum5 yearsof experience in ETL engineering, data integration, or data engineering.

• Experience building and maintaining ETL pipelines and data ingestion workflows.

• Experience performing data cleansing, validation, transformation, and quality assurance.

• Experience working in secure federal or DoD environments, or similar high-security data settings.

• Experience troubleshooting ETL failures, performance issues, and schema mismatches.

Technical Knowledge (Required)

• Proficiencywith ETL platforms, scripting languages, and data pipeline frameworks (Python, SQL, ETL tools, etc.).

• Strong SQL skills including complex queries, joins, aggregates, and transformations.

• Knowledge of cloud-based data pipelines and storage solutions (AWS preferred).

• Understanding ofdata governance, metadata management, and secure data handling practices.

• Familiarity with RMF, IL5 data security requirements, and audit log standards.

Technical Knowledge (Preferred)

• Experience with data warehouse platforms, big data systems, or streaming ingestion.

• Experience withDevSecOpspipelines, Git-based version control, and CI/CD integrations.

• Familiarity with business intelligence tools and analytics environments.

Certifications

Required:

• CompTIA Security+

Preferred:

• AWS Data Analytics or AWS Database certifications

• CISSP or CCSP

Skills

• Strong analytical and data problem solving abilities.

• Excellent attention to detail and data accuracy.

• Ability to design efficient, scalable data workflows.

• Clear communication skills for collaborating with analytics, development, and cybersecurity teams.
• Ability to manage multiple pipelines and priorities in a fast-paced mission environment.