Data/ETL Engineer – Journeyman

Job not on LinkedIn

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DecisionPoint Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.

📋 Description

• Develop, maintain, and troubleshoot ETL workflows using SSIS and approved integration tools • Implement approved integrations between source systems, APIs, databases, and analytical or reporting environments • Write and maintain SQL transformations, queries, and supporting database routines • Use Python to automate data processing, validation, integration, and routine pipeline activities • Implement raw, standardized, and curated data layers using approved designs and transformation rules • Develop and maintain source-to-target mappings, field mappings, and identifier mappings • Build reconciliation checks to verify record counts, totals, completeness, and transformation accuracy • Support incremental loading, processing checkpoints, retries, and controlled reprocessing • Implement approved schema changes and identify effects on dependent workflows and datasets • Maintain data lineage, pipeline documentation, configuration records, and operating instructions • Monitor scheduled processing, execution results, data freshness, and pipeline errors • Investigate failures involving source data, SQL logic, SSIS packages, APIs, and downstream dependencies • Document troubleshooting findings and escalate complex issues to senior engineers • Correct assigned defects and support regression testing, reconciliation, and release validation • Maintain version-controlled code and support approved deployment and rollback procedures • Coordinate with governance, database, BI, AI/ML, and testing teams on data definitions, dependencies, and quality issues • Update runbooks and technical documentation following pipeline changes and operational findings

🎯 Requirements

• Active Secret clearance or higher • Minimum of six years of relevant professional experience • Bachelor’s degree in computer science, information systems, or a related field, or a permitted equivalent • Experience developing and maintaining ETL workflows • Experience supporting SQL Server Integration Services (SSIS) • Strong SQL skills, including experience developing SQL transformations • Experience with Python and API integrations • Experience developing and maintaining data mappings • Experience building and executing reconciliation checks • Experience maintaining pipeline documentation and data lineage • Ability 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 applicable to assigned duties • Relevant data engineering certification is preferred • Experience 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 failed-record handling is preferred • Familiarity with metadata management, data governance, common identifiers, and authoritative sources is preferred • Experience 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 troubleshooting, documentation, communication, and cross-team coordination skills are preferred

🏖️ Benefits

• 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