Guidehouse

Data Engineer

Guidehouse$113K — $188K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • US Citizenship is required.
  • Bachelor's degree is required.
  • Minimum 5 years of experience in data engineering or software development.
  • Proficient in programming languages like Java, Python, SQL, and Pyspark.
  • Experience with cloud platforms such as AWS and Azure, and containerization tools.
  • Familiarity with CI/CD tools and data monitoring technologies.
  • Strong analytical and communication skills.

Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes.
  • Build and optimize data architectures for analytics and reporting.
  • Implement CI/CD pipelines for data engineering workflows.
  • Develop cloud-based solutions using AWS and Azure services.
  • Collaborate with other teams to integrate data models and APIs.
  • Ensure data quality and security through monitoring and validation.
  • Support data migration and modernization initiatives.

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Paid personal and family sick time
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Tuition Reimbursement and Learning Opportunities
  • Short-Term & Long-Term Disability
  • Mobility Stipend and Emergency Back-Up Childcare Program
Full Job Description
Job Family:
Data Science Consulting

Travel Required:
Up to 10%

Clearance Required:
Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.
  • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.
  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.
  • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.
  • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).
  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
  • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).
  • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.
  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.
  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.


What You Will Need:
  • US Citizenship is required
  • Bachelor's degree is required
  • Minimum FIVE (5) years of experience in data engineering, software development, or related roles.
  • Proficient experience with: Programming languages (Java, Python, SQL, Pyspark); Data pipeline and ETL development; Database technologies (Oracle, MySQL, Postgres, SQL Server, MongoDB); Data modeling, stored procedures, and API development (RESTful, SOAP)
  • Demonstrated experience with: Cloud platforms: AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions); Containerization and orchestration (Docker, Kubernetes); CI/CD tools (Jenkins, Maven, Git, Bitbucket, GitHub); Monitoring and logging tools (Splunk, CloudWatch, Kibana, Elasticsearch)
  • Effectively operate using Agile methodologies.
  • Ability to work in fast-paced environment independently
  • Strong analytical, troubleshooting, and communication skills, including communicate complex technical concepts in salient terms to diverse audience types

What Would Be Nice To Have:
  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Certifications in AWS, Azure, or other cloud/data engineering domains.
  • Experience with data visualization tools (e.g., Kibana, Tableau).
  • Familiarity with security best practices and compliance in federal environments.
  • Experience with microservices, Spring Boot, and integration of AI/ML components.
  • Previous consulting experience

#LI-DNI

The annual salary range for this position is $113,000.00-$188,000.00. 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
  • 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


About Guidehouse

Guidehouse is a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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