Data Engineer / Databricks Engineer

A.N.G. USA Inc.
Joint Base Andrews, MD, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$125,000.0 - $178,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Configuration Management Software Documentation Databases Continuous Delivery Continuous Integration Data Governance Extract Transform Load (ETL) Data Transformation
+27 more
Dataspaces Data Warehousing Python (Programming Language) Network Information Services Performance Tuning Query Optimization Power BI SQL Databases Data Streaming Systems Integration Tableau (Software) Data Logging Scripting Sql Optimization Apache Spark Test Scripts Indexer Git SC Clearance Data Lakes Information Technology Real Time Data Data Management Multiplatform Software Version Control Data Pipelines Databricks

Job description

Position SummaryNationwide IT Services, NIS, is seeking a Senior Data Engineer / Databricks Engineer to design, build, test, deploy, optimize, and sustain enterprise data pipelines supporting the ANG CDAO data ecosystem for a potential opportunity. The engineer will work primarily with Azure Databricks, SQL, Python, Git-based CI/CD, and integrated DoD/DAF/ANG source systems to provide reliable ingestion, transformation, orchestration, data quality, monitoring, and technical documentation., * Design, build, test, deploy, and maintain automated and manual ETL/ELT pipelines supporting approximately 15-20 DAF, ANG, and DoD source systems.

  • Implement ingestion patterns for structured, unstructured, API, batch, and streaming data; support near-real-time data currency requirements where applicable.
  • Develop SQL and Python transformation logic to cleanse, standardize, deduplicate, validate, and enrich enterprise data in accordance with CDAO data standards and business rules.
  • Build and operate Azure Databricks jobs, orchestration sequences, triggers, and workload schedules while optimizing execution performance and cloud-compute utilization.
  • Implement automated data-quality checks, reconciliation controls, invalid-record quarantine, monitoring, logging, alerting, and recoverable error-handling patterns.
  • Triage critical pipeline failures, perform root-cause analysis, and restore service within required response windows.
  • Maintain pipeline code, configuration, infrastructure/deployment scripts, and test assets in the official Git repository and execute automated CI/CD build and security testing before release.
  • Create and maintain data lineage, source-to-target mappings, architecture documentation, operational runbooks, and quarterly technical-documentation updates.
  • Support data warehouse/lake administration, query optimization, Power BI dataflows, and secure cross-platform data movement as needed.

Requirements

  • Demonstrated hands-on experience developing production-grade ETL/ELT pipelines using Azure Databricks or comparable Spark-based data platforms.
  • Advanced SQL and Python skills for data transformation, validation, automation, troubleshooting, and performance optimization.
  • Experience with batch and streaming ingestion, APIs, schema management, orchestration, monitoring, data quality, and failure recovery.
  • Experience with Git-based version control and CI/CD practices for data-engineering solutions.
  • Knowledge of data warehousing/lakehouse patterns, indexing/query optimization, access control, encryption, and secure handling of sensitive/CUI data.
  • Must satisfy applicable DoD/DAF security, cybersecurity-awareness, CUI, OPSEC, and access-training requirements.

Preferred Qualifications

  • Experience extracting and transforming data from DAF/DoD systems such as MILPDS, DCPDS, AFRISS, CHRIS, CMS, CRIS, GFEBS, DEAMS, REMIS, AROWS, M4S, iEMS, or Lockheed Martin Tableau.
  • Experience integrating Databricks workloads with Palantir Foundry, Microsoft Azure, Advana/WDP, Power BI, or AskSage., Access Control, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Intelligence Software, Cloud Computing, Content Management Systems (CMS), Continuous Deployment/Delivery, Continuous Integration, Cryptography, Data Lake, Data Management, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), Documentation, Ecosystems, Error Handling, Git, Government, Government Contracts, Identify Issues, Microsoft Windows Azure, Multiplatform/Cross-Platform, NIS (Network Information Service), Performance Tuning/Optimization, Power BI, Python Programming/Scripting Language, Quality Monitoring, Query Optimization, Reconciliation, Root Cause Analysis, SQL (Structured Query Language), Sales Pipeline, Secret Clearance, Security Clearance, Source Code/Configuration Management (SCM), Tableau, Technical Support, Technical Writing, Test Scripts, Testing, United States Department of Defense (DoD), User Documentation, Work From Home

Benefits & conditions

Our benefits package includes medical, dental, and vision insurance, life and disability insurance, a 401(k) plan with employer match, paid holidays, PTO (sick/vacation), commuter benefits, employee assistance program (EAP), educational reimbursement, and pet insurance. Salary range $125,000 to $178,000 annually

The salary range is a general guideline. We consider several factors when determining base salary offers, including the position’s scope and responsibilities, the candidate’s experience, education, and skills, and current market conditions.

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