Senior Data Engineer

Blu Omega
Ashburn, VA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$130,000.0 - $160,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Continuous Delivery Continuous Integration Data as a Services Data Architecture Information Engineering Data Governance
+24 more
Data Infrastructure Data Transformation Data Systems Database Development DevOps Distributed Computing Environment Python (Programming Language) Performance Tuning Cloud Services DataOps SQL Databases Workflow Management Systems Enterprise Data Management Azure Data Factory Large Language Models Generative AI Containerization Data Lakes Pyspark Data Management Software Version Control Data Pipelines Serverless Computing Databricks

Job description

Blu Omega is seeking a Senior Data Engineer to support a federal program focused on public health analytics. This role operates within a remote environment and is responsible for designing, building, and operating enterprise-scale data platforms and pipelines supporting mission-critical health data initiatives. The position requires experience supporting data engineering and cloud data platforms within a mission-driven environment., * Design, build, and maintain enterprise-scale data pipelines and platform components using Databricks, Palantir Foundry, and cloud-native technologies.

  • Architect robust data solutions through schema design, medallion architecture, partitioning, and distributed processing.
  • Develop and optimize data transformations with PySpark, Python, and SQL to enhance pipeline reliability and performance.
  • Build and operate Databricks solutions utilizing Delta Lake, Unity Catalog, and job orchestration capabilities.
  • Develop data pipelines, transformations, datasets, and data models within Palantir Foundry.
  • Implement cloud-native data orchestration using Azure Data Factory, Azure Functions, and Azure Storage, or equivalent AWS and GCP services.
  • Apply CI/CD practices for data services, including automated testing, validation, version control, and deployment.
  • Lead onboarding and migration efforts for data platforms, facilitating team adoption of modern data solutions.
  • Modernize existing Python and SQL codebases, promoting reusable engineering patterns and libraries.
  • Optimize data pipelines, strategies, and queries for performance, reliability, and cost-efficiency.
  • Establish best practices for data quality, observability, security, and governance.
  • Partner with stakeholders to gather requirements and translate program needs into scalable data solutions.
  • Communicate technical decisions and tradeoffs effectively to technical and non-technical audiences.
  • Provide technical leadership and supervision within cross-functional engineering teams.

Requirements

Clearance: Ability to obtain and maintain a Public Trust suitability determination, * 5+ years of experience with PySpark, SQL, distributed data processing, and enterprise data engineering.

  • 5+ years of experience designing and maintaining end-to-end data pipelines.
  • 5+ years of experience with data architecture, including schema design, medallion architecture, and optimization.
  • 2+ years of hands-on Databricks experience, including Delta Lake, Unity Catalog, and orchestration tools.
  • 2+ years of cloud platform experience, including Azure Data Factory, Azure Functions, and Azure Storage, or equivalent AWS/GCP services.
  • Hands-on experience with Palantir Foundry, focusing on pipeline development and data modeling.
  • Strong skills in Python, PySpark, and SQL development.
  • Proven ability to lead technical deliverables and mentor team members.
  • Excellent analytical, troubleshooting, and performance tuning skills.
  • Effective communication skills for diverse audiences.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
  • Bachelor’s degree in a related field.

Preferred Qualifications

  • Experience implementing CI/CD pipelines using Azure DevOps or similar tools.
  • Knowledge of generative AI technologies, including LLMs, RAG, and embeddings.
  • Development or support of AI-driven solutions.
  • Familiarity with data quality, observability, monitoring, security, and enterprise data governance practices.
  • Experience supporting federal healthcare, public health, or mission-driven data environments.
  • Experience leading data platform modernization or migration initiatives.
  • Knowledge of Agile, DevOps, and DataOps methodologies.

Benefits & conditions

Salary Range: $130,000.00 - $160,000.00 (final compensation based on skills, experience, and relevant certifications), Benefits & Perks

  • Medical, Dental, and Vision coverage through national providers
  • 401(k) with company match (eligible after 6 months; vesting applies)
  • Company-paid Life and AD&D insurance, voluntary options available
  • Short-term and long-term disability options
  • Employee Assistance Program (EAP) with 24/7 confidential support
  • Telehealth and virtual care services
  • Pet insurance, legal services, and identity theft protection options
  • Paid Time Off (PTO) and federal holidays for eligible employees
  • Wellness programs, discounts, and lifestyle benefits

About the company

Blu Omega supports mission-focused organizations across government sectors, delivering innovative technology and cybersecurity solutions to enable impactful public health and defense initiatives., Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health and national security, partnering with government agencies and large system integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support.

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