Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.
Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.
Support the implementation and enhancement of data models, databases, and cloud-based data solutions.
Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.
Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.
Support cloud-based data environments and services in AWS and Azure.
Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.
Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.
Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.
Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.
Document technical processes, data flows, and system configurations.
Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.
What You Will Need:
Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.
Experience in data engineering, software engineering, data analytics, computer science, or a STEM related technical discipline.
Foundational knowledge of programming languages such as Python, Java, or SQL.
Basic understanding of relational databases and data querying concepts.
Familiarity with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.
Exposure to data integration, ETL, data warehousing, or analytics concepts.
What Would Be Nice To Have:
Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.
Exposure to Databricks, Spark, or large-scale data processing technologies.
Familiarity with version control systems such as Git.
Basic understanding of software development lifecycle and Agile methodologies.
Strong analytical, problem-solving, and troubleshooting skills.
Ability to learn new technologies and work collaboratively in a team environment.
Strong verbal and written communication skills.
Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.
Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.
Exposure to CI/CD tools and DevOps practices.
AWS, Azure, Databricks, or related cloud/data certifications.
Experience supporting healthcare, public sector, or federal clients.
Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.
Previous consulting, client-facing, internship, or cooperative education 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
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 [email protected]. 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 [email protected]. 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 [email protected]. 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.
Skills Required
- Ability to obtain and maintain a Federal or DHS Public Trust
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related technical field
- Experience in data engineering, software engineering, data analytics, computer science, or a STEM technical discipline
- Foundational knowledge of programming languages such as Python, Java, or SQL
- Basic understanding of relational databases and data querying concepts
- Familiarity with cloud platforms such as AWS or Azure (coursework, certifications, internships, or professional experience)
- Exposure to data integration, ETL, data warehousing, or analytics concepts
- Internship, academic, research, or project experience involving data engineering, cloud computing, or software development
- Exposure to Databricks, Spark, or large-scale data processing technologies
- Familiarity with version control systems such as Git
- Basic understanding of software development lifecycle and Agile methodologies
- Strong analytical, problem-solving, and troubleshooting skills
- Ability to learn new technologies and work collaboratively in a team environment
- Strong verbal and written communication skills
- Familiarity with AWS services (S3, Lambda, Redshift) or Azure services (Azure Data Factory, Azure Functions, Cosmos DB)
- Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana
- Exposure to CI/CD tools and DevOps practices
- AWS, Azure, Databricks, or related cloud/data certifications
- Experience supporting healthcare, public sector, or federal clients
- Interest in data architecture, machine learning, artificial intelligence, or advanced analytics
- Previous consulting, client-facing, internship, or cooperative education experience
Guidehouse Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.
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Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
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Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.
Guidehouse Insights
What We Do
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.
