Senior Data Engineer - Arlington, VA Hybrid

Publicis Sapient; Arlington (VA); Hybrid; USD 109,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Flexibility for work-life balance

Comprehensive health benefits

Generous paid leave and holidays

Wellness program

Job summary

Publicis Sapient is hiring a Senior Data Engineer in Arlington, VA for a hybrid role. You will build scalable batch and streaming pipelines, orchestrate with Azure Data Factory, and deliver reliable data products into a modern data lake and Synapse environment.

You will own testing, data quality, performance tuning, documentation, and production support across enterprise data platforms, collaborating with architects and stakeholders to ensure scalable, cost-efficient solutions.

Qualifications

• 4+ years of data engineering experience in enterprise pipelines.
• 2+ years of hands-on Azure Databricks data engineering experience.
• Experience with Databricks, Delta Live Tables, Delta Lake, PySpark, Python, SQL, Spark SQL.
• Experience orchestrating data pipelines with Azure Data Factory.
• Experience loading data into Enterprise Data Lake, Delta Lake and Azure Synapse Analytics pools.
• Experience configuring Databricks compute, data quality rules, monitoring and maintenance.
• Experience unit testing and coordinating UAT.
• Experience creating HLDs, DDs and data runbooks.
• Experience with Azure DevOps, Git and CI/CD pipelines.

Responsibilities

• Create and enhance scalable data pipelines using standard ingestion frameworks.
• Orchestrate workflows with Azure Data Factory and monitor pipelines.
• Develop transformations using PySpark, Python and SQL.
• Load data into Enterprise Data Lake, Delta Lake and Azure Synapse pools.
• Build Databricks solutions including Delta Live Tables and compute configuration.
• Configure data quality rules, monitoring and runbooks.
• Support testing phases and incident resolution.
• Prepare design documents and operational runbooks.
• Collaborate with architects and stakeholders to deliver enterprise data products.

Skills

Data engineering

Azure Databricks

PySpark

Python

SQL

Spark SQL

Azure Data Factory

Data quality

CI/CD

Azure DevOps

Git

Education

Bachelor's degree in Computer Science, Engineering or Information Systems

Tools

Databricks

Delta Live Tables

Delta Lake

Azure Synapse Analytics

Azure Data Factory

Azure DevOps

Git

Job description

Senior Data Engineer - Arlington, Hybrid

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.

Job Description

Senior Data Engineer - Arlington, Hybrid

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.

Qualifications

Your Skills & Experience

• 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.

Additional Information

Salary Range: $109,000-130,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [e-mail]

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.