Guidehouse

Senior Data Engineer

United States · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerGuidehouse
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.

Show full description

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.

The annual salary range for this position is $80,000.00-$133,000.00. 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.

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 RecruitingAccommodation@guidehouse.com. 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 guidehouse@myworkday.com. 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 recruiting@guidehouse.com. 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.

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Data engineer jobs in United States

ROLIVA currently lists 232 open roles like this in United States.

Employers hiring for this

  • Capital One Financial46 open roles
  • Guidehouse8 open roles
  • The Hartford7 open roles
  • General Motors6 open roles
  • ICF6 open roles

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

Advertised salary for this role here

These are advertised ranges, not what people are paid.

  • USD a year, after annualising72,000–360,000 (17 listings, 14 employers)

At a glance

  • Employment typeFull time
  • SenioritySenior
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Snowflake AWS Azure Kubernetes Docker Terraform Spark Machine learning Agile

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