
Data/ETL Engineer – Journeyman
Posted Oct 28

Posted Oct 28
This is a fully remote position, open to applicants in Illinois.
• Design, maintain, and resolve issues in ETL workflows utilizing SSIS and approved integration tools.
• Execute approved integrations among source systems, APIs, databases, and analytical or reporting platforms.
• Create and uphold SQL transformations, queries, and supporting database routines.
• Leverage Python for the automation of data processing, validation, integration, and routine pipeline tasks.
• Establish raw, standardized, and curated data layers following approved designs and transformation protocols.
• Develop and sustain source-to-target mappings, field mappings, and identifier mappings.
• Construct reconciliation checks to validate record counts, totals, completeness, and transformation accuracy.
• Facilitate incremental loading, processing checkpoints, retries, and controlled reprocessing.
• Apply approved schema modifications and assess their impact on dependent workflows and datasets.
• Preserve data lineage, pipeline documentation, configuration records, and operational instructions.
• Oversee scheduled processing, execution outcomes, data freshness, and pipeline errors.
• Examine failures related to source data, SQL logic, SSIS packages, APIs, and downstream dependencies.
• Document troubleshooting outcomes and escalate complex issues to senior engineers.
• Resolve assigned defects and assist with regression testing, reconciliation, and release validation.
• Maintain version-controlled code and assist with approved deployment and rollback procedures.
• Collaborate with governance, database, BI, AI/ML, and testing teams on data definitions, dependencies, and quality concerns.
• Revise runbooks and technical documentation following pipeline adjustments and operational insights.
• Active Secret clearance or higher.
• At least six years of relevant professional experience.
• Bachelor’s degree in computer science, information systems, or a related discipline, or an acceptable equivalent.
• Proven experience in the development and maintenance of ETL workflows.
• Experience in supporting SQL Server Integration Services (SSIS).
• Proficiency in SQL, including the development of SQL transformations.
• Experience with Python and API integrations.
• Experience in creating and maintaining data mappings.
• Experience in building and executing reconciliation checks.
• Experience in maintaining pipeline documentation and data lineage.
• Capability to support schema management and troubleshoot data pipelines.
• Ability to implement raw, standardized, and curated data layers.
• CompTIA Security+ CE or another approved IAT Level II certification when pertinent to assigned duties.
• Relevant data engineering certification is preferred.
• Experience in supporting federal or Department of Defense data environments is preferred.
• Experience with data warehouses, analytical datasets, BI platforms, or AI-ready data is preferred.
• Experience implementing incremental loads, checkpoints, retries, and handling failed records is preferred.
• Familiarity with metadata management, data governance, common identifiers, and authoritative sources is preferred.
• Experience in developing automated data-quality and regression checks is preferred.
• Familiarity with version control, CI/CD, deployment automation, and rollback processes is preferred.
• Familiarity with secure API authentication, service accounts, secrets management, and audit logging is preferred.
• Strong skills in troubleshooting, documentation, communication, and cross-team coordination are preferred.
• Regular full-time employment.
• Opportunity to work remotely.
• Chicago-area candidates preferred.
• Opportunity to support a USMEPCOM ENLIST government contract program.
• Equal Employment Opportunity and Affirmative Action protections.
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