Location: Multiple U.S. locations (client sites vary) Employment Type: Full time Compensation: Commensurate with experience
FocusPoint is actively building a pipeline of Senior Data Engineers for ongoing contract opportunities with enterprise clients across multiple U.S. locations. These roles focus on Azure, Databricks, PySpark, ADF, and Azure SQL in large, complex data environments.
ResponsibilitiesData Engineering & Architecture
Design and build end to end data solutions on Azure.
Develop lakehouse architectures using Azure Databricks, Delta Lake, and medallion layers.
Create data models, integration patterns, and documentation.
Pipeline Development
Build and maintain production pipelines in Azure Data Factory (ADF) and Databricks.
Develop Python and PySpark transformations.
Integrate data from ERP, project management, cost systems, APIs, and SFTP sources.
Data Quality & Governance
Implement data quality checks, validation rules, and monitoring.
Use Unity Catalog for RBAC, lineage, and data governance.
Maintain data freshness, SLA tracking, and observability.
Production Support
Monitor pipelines, troubleshoot issues, and perform root cause analysis.
Optimize Databricks, ADF, and Azure SQL performance and cost.
Maintain runbooks and operational documentation.
Stakeholder Collaboration
Translate business requirements into technical designs.
Present solutions to technical and non technical teams.
Support engineering standards, CI/CD, and reusable patterns.
10+ years of data engineering experience.
5+ years working with Azure Data Platform.
Expert level Databricks, PySpark, Delta Lake, Unity Catalog.
Strong experience with Azure Data Factory (ADF).
Advanced SQL (Azure SQL or Synapse).
Strong Python and PySpark engineering skills.
Experience with ADLS Gen2, Managed Identity, Key Vault, RBAC.
Hands on Azure DevOps (branching, PRs, testing, pipelines).
Experience with data quality, lineage, and governance at scale.
Access to ongoing Senior Data Engineer contract roles.
Direct relationships with enterprise clients.
Confidential, candidate first process.
Clear communication and support throughout each engagement.
Apply. All inquiries are confidential. We review Senior Data Engineer candidates on an ongoing basis for upcoming Azure/Databricks opportunities.