Remote Senior Data Engineer & Analytics Lead (Federal)

TekStream Solutions

United States

Remote

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

TekStream Solutions in the United States is seeking a Senior Data Engineer & Analytics Lead to support a high-impact federal data and analytics program. This hands-on role focuses on building scalable data platforms, production-grade pipelines, and improving data quality.

You'll collaborate with analytics and ML teams, develop Data Vault 2.0 and dimensional models, and work with Azure Databricks, PySpark, Python, SQL, and Delta Lake. The candidate must be eligible for U.S.

Qualifications

  • 8+ years in data or analytics engineering.
  • Strong data modeling and pipeline design skills.
  • Experience translating business needs into scalable analytics solutions.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines across systems.
  • Model data with Data Vault 2.0, dimensional modeling, and analytics models.
  • Work with Azure Databricks, PySpark, Python, SQL, and Delta Lake.
  • Implement data quality, reconciliation, deduplication, and validation.
  • Support Power BI datasets, semantic models, and analytics solutions.
  • Optimize pipelines and queries for performance, reliability, and cost.
  • Participate in code reviews, CI/CD, source control, and deployments.
  • Collaborate with data scientists, ML engineers, architects, analysts, and partners.
  • Create and maintain runbooks, data dictionaries, pipeline specs, diagrams.
  • Provide technical leadership and review partner solutions for production readiness.

Skills

Data engineering leadership
Data modeling
Technical communication

Tools

Azure Databricks
PySpark
Python
SQL
Delta Lake
Power BI
Unity Catalog
Git / CI/CD

Job description

TekStream Solutions in the United States is seeking a Senior Data Engineer & Analytics Lead to support a high-impact federal data and analytics program. This hands-on role focuses on building scalable data platforms, production-grade pipelines, and improving data quality.

You'll collaborate with analytics and ML teams, develop Data Vault 2.0 and dimensional models, and work with Azure Databricks, PySpark, Python, SQL, and Delta Lake. The candidate must be eligible for U.S.

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