14 часов назад
Senior Data Engineer / Databricks Engineer
125 000 - 178 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer / Databricks Engineer (Azure Databricks, SQL, Python): Building and operating enterprise ETL/ELT pipelines across structured, unstructured, API, batch, and streaming data sources with an accent on data quality, orchestration, and secure DoD data integration. Focus on optimizing Databricks workloads, implementing CI/CD and monitoring, resolving critical pipeline failures, and maintaining data lineage and operational documentation.
Location: Hybrid at the Air National Guard Readiness Center, Joint Base Andrews, Maryland, with up to 3 telework days per week; remote work may be authorized only by the Government on an exception basis. Occasional travel may be required.
Salary: $125,000–$178,000 annually.
Company
is a government contractor supporting Department of Defense customers and the Air National Guard Chief Data and Artificial Intelligence Office.
What you will do
- Design, build, test, deploy, and maintain automated and manual ETL/ELT pipelines for approximately 15–20 DAF, ANG, and DoD source systems.
- Implement structured, unstructured, API, batch, and streaming data ingestion, including near-real-time data requirements.
- Develop SQL and Python transformations for cleansing, standardization, deduplication, validation, and enrichment.
- Build and operate Azure Databricks jobs, orchestration sequences, triggers, and workload schedules while optimizing performance and cloud-compute utilization.
- Implement data-quality checks, reconciliation, quarantine, monitoring, logging, alerting, and recoverable error handling.
- Triage pipeline failures, perform root-cause analysis, restore service, maintain CI/CD assets, and create data lineage, mappings, architecture documentation, and runbooks.
Requirements
- Hands-on experience developing production-grade ETL/ELT pipelines with Azure Databricks or comparable Spark-based platforms.
- Advanced SQL and Python skills for 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 and lakehouse patterns, query optimization, access control, encryption, and secure handling of sensitive and CUI data.
- Active SECRET security clearance and compliance with applicable DoD/DAF security, cybersecurity-awareness, CUI, OPSEC, and access-training requirements.
Nice to have
- Experience with DAF/DoD systems such as MILPDS, DCPDS, AFRISS, CHRIS, CMS, CRIS, GFEBS, DEAMS, REMIS, AROWS, M4S, iEMS, or Lockheed Martin Tableau.
- Experience integrating Databricks with Palantir Foundry, Microsoft Azure, Advana/WDP, Power BI, or AskSage.
Culture & Benefits
- Medical, dental, and vision insurance.
- Life and disability insurance, 401(k) with employer match, paid holidays, PTO, and commuter benefits.
- Employee assistance program, educational reimbursement, and pet insurance.
- Work supporting enterprise data, business intelligence, application, and AI capabilities for data-driven mission decisions.
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