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Overview
Job Summary

Galapagos Federal Systems LLC is seeking a qualified Data/ETL Engineer
to support a mission-critical Department of Defense (DoD) database
system managed by the Defense Manpower Data Center (DMDC). The system
serves as a centralized case-level database supporting DoD policy
oversight and Congressional reporting, with capabilities for data entry,
system interfaces, case management, and enhanced reporting.
The Data/ETL Engineer will design, develop, and maintain ETL data
pipelines supporting daily data exchanges between core system modules
and the Enhanced Reporting Capability (ERC) platform. These processes
ensure that more than 6,500 users across the DoD enterprise have access
to accurate and timely data for case management, analysis, and mandated
reporting.
Working closely with database administrators, developers, and analysts,
the engineer will support data governance, automate data quality
monitoring, and assist with cloud migration initiatives. The ideal
candidate will have experience with Oracle databases, SQL development,
data warehousing, and modern ETL tools, with a strong focus on data
integrity and DoD security compliance.
Key Responsibilities

The Data/ETL Engineer will:
Design, develop, and maintain ETL data pipelines supporting daily

data transfers between the core application and the Enhanced
Reporting Capability (ERC) module.

Perform secure data exchanges using SFTP between internal and

external interfacing systems, supporting up to 300 data exchanges
annually

Develop, maintain, and automate system interfaces and data transfer

processes, including implementation of modern API-based data
exchanges

Build reusable processes to connect to multiple data sources across

cloud environments and integrate them into the enterprise
architecture

Provide data management and governance services, including data

ingestion, validation, storage, management, and quality assurance in
accordance with Government-approved standards

Create data flow diagrams, perform data standardization, and support

enterprise data modeling activities

Manage incoming data streams and develop mechanisms that allow users

and applications to modify, access, and extract data efficiently

Identify, analyze, and resolve data quality issues, and design and

implement automated data quality monitoring and control mechanisms

Conduct ongoing data quality analysis, documentation, and reporting

to assess overall data health and integrity

Develop and maintain data quality dashboards and reports, including

system metrics and validation checks between system data and
interfacing Service systems

Automate data anomaly detection and monitoring to proactively

identify inconsistencies or errors

Support database performance optimization, data recovery, and system

integrity, including configuration and maintenance of database
instances

Modify database structures to support application modernization

efforts, including database migrations, conversions, and schema
updates

Manage the migration of program updates, database changes, reference

data, and configuration changes across the development lifecycle

Generate transaction analysis reports for external interfaces,

including data exchange volumes, error rates, and issue tracking

Support enhanced reporting capabilities that enable congressionally

mandated reporting, trend analysis, data validation, and ad hoc
reporting requests

Develop business intelligence (BI) reports and dashboards as

requested by the DHRA Data Governance Board and DMDC Data
Stewardship Council

Integrate data from additional DoD environments such as Advana and

Oracle Cloud Infrastructure (OCI) to support enterprise reporting
initiatives
Responsibilities

Skills and Experience

The Data/ETL Engineer must have:
DoW Clearance not Required. Ability to obtain and maintain a Tier 3

(T3) background investigation for Noncritical-Sensitive position;
Tier 5 (T5) required for privileged access role

Prior experience supporting DMDC or DHRA systems
Experience with ETL development, data integration, and automated

data pipeline design

Strong proficiency with Oracle databases, SQL development, and data

warehousing concepts

Experience implementing secure data exchanges using SFTP and

API-based integrations

Knowledge of data quality management, monitoring frameworks, and

data governance practices

Experience developing BI dashboards and reports using tools such as

Power BI, Tableau, Qlik, or MicroStrategy

Familiarity with cloud environments, including AWS GovCloud, Oracle

Cloud Infrastructure (OCI), or other DoD-approved cloud platforms

Understanding of DoD Risk Management Framework (RMF) processes and

data security requirements

Experience working within Agile or Scrum development environments
Familiarity with enterprise reporting platforms such as

MicroStrategy
Education and Certifications

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