Senior Data Engineer

Guidehouse; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement, Certifications

Job summary

Guidehouse is seeking a senior Data Engineer to design, build, and operate Azure Lakehouse architectures using Databricks, ADLS Gen2, Synapse, and Data Factory. You will develop scalable ETL/ELT pipelines with Spark, Delta Lake, Python, SQL, and Scala, handling large datasets and streaming workloads.

You will collaborate with cross-functional teams to implement data quality measures and optimize performance and costs across enterprise data platforms. Travel up to 10% may be required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 5+ years as a Data Engineer with Azure deliveries.
• Proven experience with Azure Databricks and Azure-native data services.
• Hands-on design, build, and operation of Azure Lakehouse architectures.
• Experience with Spark, Delta Lake, Python, SQL, and Scala for large data workloads.

Responsibilities

• Design, build, and operate Azure Lakehouse architectures using Azure Databricks, ADLS Gen2, Synapse, and Data Factory.
• Develop and optimize scalable ETL/ELT pipelines with Databricks, Spark, and Delta Lake.
• Process large-scale structured and unstructured datasets with batch and streaming pipelines.
• Collaborate with cross-functional teams to deliver enterprise Azure solutions and support deployments.
• Implement data quality, performance tuning, and cost-optimization practices.

Skills

Azure Databricks

Azure Synapse

Azure Data Factory

ADLS Gen2

Apache Spark

Delta Lake

Python

SQL

Scala

Data pipelines

Education

Bachelor’s degree in CS/Engineering/Data Science

Master’s degree in CS/Engineering/Data Science

Tools

Azure Databricks

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage Gen2

Apache Spark

Delta Lake

Job description

Job Family

Data Science & Analysis

Travel Required

Up to 10%

Clearance Required

Ability to Obtain Public Trust

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.

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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.