Job Family:

Travel Required:

Clearance Required:

What You Will Do:

• Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and operational workloads.

• Develop, maintain, and optimize scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake to ensure reliability, performance, and enterprise-grade data quality.

• Process large-scale structured and unstructured datasets using optimized batch and streaming pipelines leveraging Apache Spark, Delta Lake, Python, SQL, and Scala.

• Collaborate with cross-functional teams to deliver enterprise solutions on Azure and support production deployments, monitoring, and operational excellence.

• Implement data quality, performance tuning, and cost-optimization practices for data platforms and pipelines.

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "Public Trust" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE "Public Trust" or higher-level clearance are preferred.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.

• FIVE (5) or more years of experience as a Data Engineer, including THREE (3) years delivering enterprise solutions on Azure, specifically using Azure Databricks and Azure-native data services.

• Hands-on experience designing, building, and operating Azure Lakehouse architectures using Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Azure Data Factory.

• Experience in Apache Spark, Delta Lake, Python, SQL, and Scala, with demonstrated ability to process large-scale structured and unstructured datasets using optimized batch and streaming pipelines.

• Experience designing, developing, and maintaining scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake, ensuring reliability, performance, and data quality at enterprise scale.

• Experience with real-time and batch data processing.

What Would Be Nice To Have:

• Azure certifications (for example, Azure Data Engineer) or equivalent cloud/data platform certifications.

• Experience implementing CI/CD for data engineering, MLOps pipelines, or data platform automation.

• Familiarity with data governance, observability, and cost-optimization practices at scale.

#LI-DNI

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

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend