Qualifications
Responsibilities
Benefits
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
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 DevOps 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 TRUST
Bachelor'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, GitHub, GitLab, Jenkins, or Azure DevOps.
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 implementing Infrastructure-as-Code using Terraform, CloudFormation, or Bicep.
Experience with monitoring and observability tools such as CloudWatch, 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.
What We Offer:
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.
Benefits include:
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 Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
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