Senior Data Engineer — Remote Data Pipelines & Platforms

Chenega Professional Services Strategic Business Unit; Georgia; On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Remote work (US)

Paid time off

Health insurance

401k

Flexible spending account

Job summary

Chenega Professional Services Strategic Business Unit seeks a Senior Data Engineer to architect and operate enterprise-scale data pipelines supporting public health analytics. The role centers on Databricks (Delta Lake, Unity Catalog), Palantir Foundry, and PySpark/SQL for end-to-end pipelines from schema design to production operations.

You'll modernize multilingual codebases, build reusable libraries, and drive onboarding/migrations to accelerate adoption across cloud-native platforms with

Qualifications

• 5+ years of experience with PySpark, SQL, distributed data processing and enterprise-scale data engineering
• 5+ years of experience designing, developing, owning, and maintaining end-to-end production data pipelines
• 5+ years of experience with data architecture, including schema design, medallion architecture, partitioning strategies, and performance optimization
• 5+ years of experience collaborating with business stakeholders, gathering requirements, and delivering technical presentations to technical and non-technical audiences
• 2+ years of hands-on experience with Databricks, including Delta Lake, Unity Catalog, Job orchestration
• 2+ years of experience with Microsoft Azure, including Azure Data Factory, Azure Functions, Azure Storage, or equivalent cloud platforms such as AWS or Google Cloud Platform (GCP)
• Experience with Palantir Foundry, including pipeline development, transformation logic, and data modeling
• Experience supervising others and leading deliverables in cross-functional environments
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree
• Successfully pass background and drug screening.

Responsibilities

• Design, build, and own scalable data pipelines and platform components (Databricks, Palantir Foundry)
• Engineer robust schemas, medallion patterns, partitioning, and performance tuning (PySpark/SQL)
• Implement cloud-native orchestration and CI/CD for data services; automate testing/validation
• Lead onboarding/migration to data platforms; develop reusable libraries and templates
• Champion data quality, observability, and governance; communicate tradeoffs and decisions to stakeholders
• Other duties as assigned

Skills

PySpark

SQL

Data pipelines

Data architecture

Stakeholder communication

Databricks

Azure/AWS/GCP

Palantir Foundry

Team leadership

Public Trust clearance

Education

Bachelor's degree

Tools

Databricks

Palantir Foundry

Azure Data Factory

Job description

Chenega Professional Services Strategic Business Unit seeks a Senior Data Engineer to architect and operate enterprise-scale data pipelines supporting public health analytics. The role centers on Databricks (Delta Lake, Unity Catalog), Palantir Foundry, and PySpark/SQL for end-to-end pipelines from schema design to production operations.

You'll modernize multilingual codebases, build reusable libraries, and drive onboarding/migrations to accelerate adoption across cloud-native platforms with