Senior Data Engineer

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.

Data Science & Analysis

Up to 10%

Ability to Obtain Public Trust

• U.S. Citizenship or Green Card is required AND must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.
• FOUR (4) 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.

• Experience supporting federal, healthcare, public health, or other highly regulated environments.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to independently manage technical tasks and collaborate effectively across teams.
• Excellent verbal and written communication skills.
• 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.
• 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 implementing Infrastructure-as-Code using Terraform, Cloud Formation, or Bicep.
• Experience with monitoring and observability tools such as Cloud Watch, Splunk, Kibana, Datadog, or Elasticsearch.
• Cloud, Databricks, Snowflake, or related technical certifications.
• Experience supporting large-scale data modernization or migration programs.
• Experience with machine learning data pipelines and AI-enabled solutions.
• Previous consulting or client-facing experience.

The annual salary range for this position is $80,000.00-$. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and…