Senior Data Engineer

Job Family:

Data Science & Analysis

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.

Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.

Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.

Design and implement CI/CD pipelines and Dev Ops best practices for data engineering workflows.

Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.

Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts.

Ensure data quality, integrity, security, and governance standards are incorporated into solution designs.

Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.

Mentor junior data engineers and support technical knowledge sharing across project teams.

Contribute to technical architecture discussions, technology evaluations, and engineering best practices.

Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.

Role contingent upon contract award.

What You Will Need:

U.S. Citizenship or Green Card is required and must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUSTBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.

THREE (3) or more years in data engineering, software engineering, analytics engineering, or a related discipline.

Experience in Python, SQL, and data processing frameworks such as Spark or PySpark.

Experience designing, developing, and supporting production-grade data pipelines and ETL/ELT processes.

Experience working with relational and non-relational databases, including data modeling and query optimization.

Experience with cloud platforms such as AWS and/or Azure.

Experience with Databricks, Snowflake, or similar large-scale data processing environments.

Experience implementing CI/CD pipelines and version control practices using tools such as Git, Git Hub, Git Lab, Jenkins, or Azure Dev Ops.

Experience implementing data quality, monitoring, and operational support processes.

Experience working within Agile software development environments.

What Would Be Nice To Have:

Experience supporting federal, healthcare, public health, or other highly regulated environments.

Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

Experience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.Strong analytical, troubleshooting, and problem-solving skills.

Ability to independently manage technical tasks and collaborate effectively across teams.

Excellent verbal and written communication skills.

Experience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.

Familiarity with modern data lakehouse architectures and data governance frameworks.

Experience…