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# Senior Data Engineer - Arlington, VA Hybrid

- **Company:** Sapient Corporation
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $109,000 - $130,000
- **Contract:** Permanent contract
- **Skills:** Unit Testing, Microsoft Azure, Information Systems, Continuous Integration, Information Engineering, Data Transformation, High-Level Architecture, Apache Hive, Python (Programming Language), Operational Databases, Parsing, Performance Tuning, Release Management, Software Deployment, SQL Databases, Data Streaming, Enterprise Data Management, Data Ingestion, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, Integration Tests, Information Technology, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://diversityjobs.com/career/18899074/Senior-Data-Engineer-Arlington-Va-Hybrid-Virginia-Arlington

## About the Role

* Bachelor s degree in Computer Science, Engineering, Information Systems, or a related field.

 * 4+ years of data engineering experience, including hands-on delivery and support of enterprise data pipelines.

 * 2+ years of hands-on Azure Databricks data engineering experience.

 * Strong experience with Databricks, Delta Live Tables (DLT), Delta Lake, PySpark, Python, SQL, and Spark SQL.

 * Strong experience orchestrating data pipelines with Azure Data Factory.

 * Experience loading and serving data through Enterprise Data Lake, Delta Lake, and Azure Synapse Analytics dedicated SQL pools.

 * Experience configuring Databricks compute, data quality rules, monitoring, maintenance processes, and workload optimization.

 * Experience performing unit testing and coordinating integration testing and UAT.

 * Experience creating HLDs, detailed designs, data pipeline documentation, and operational runbooks.

 * Experience with Azure DevOps, Git, CI/CD pipelines, and production deployment practices.

 * Demonstrated experience supporting production data platforms and resolving data pipeline incidents.

## Description

As a Senior Data Engineer you will create and enhance scalable data pipelines using established ingestion frameworks, orchestrate workflows with Azure Data Factory, and develop transformations that load trusted data into an Enterprise Data Lake, Delta Lake, and Azure Synapse Analytics dedicated SQL pools. This role also owns testing, technical documentation, data quality configuration, performance optimization, maintenance, and production support for enterprise data solutions.

Your Impact

 * Create new batch and streaming data pipelines by leveraging and extending existing data ingestion frameworks and tools.

 * Orchestrate, schedule, and monitor data pipelines using Azure Data Factory.

 * Develop and enhance data transformations based on business and technical requirements using PySpark, Python, and SQL.

 * Parse, transform, and load data into the Enterprise Data Lake, Delta Lake, and Azure Synapse Analytics dedicated SQL pools.

 * Build and maintain Databricks data engineering solutions, including Delta Live Tables (DLT), compute configuration, and pipeline maintenance.

 * Configure and maintain data quality rules, validation controls, reconciliation processes, monitoring, and automated alerts.

 * Perform unit testing and coordinate integration testing and user acceptance testing (UAT) with business and technology partners.

 * Create and maintain high-level designs (HLDs), detailed designs (DDs), data mappings, operational runbooks, and support documentation.

 * Tune and optimize Databricks, Spark, SQL, and Synapse workloads for performance, reliability, scalability, and cost efficiency.

 * Provide production support, including incident troubleshooting, root-cause analysis, defect resolution, and operational maintenance.

 * Use Azure DevOps and Git to support source control, CI/CD, release management, and controlled production deployments.

 * Collaborate with data architects, analysts, business stakeholders, and support teams to deliver reliable enterprise data products.