Public Health Data Engineer

Guidehouse Digital, LLC; Houston (TX); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Paid Holidays

Tuition Reimbursement

Professional Certifications & Learning

Job summary

Guidehouse Digital, LLC is seeking an early-career Data Engineer in Houston to help build and maintain data pipelines and cloud-based analytics. You will work with Python, SQL, and PySpark, supporting AWS/Azure environments and CI/CD practices.

The role emphasizes collaboration, data modeling, and data quality, with ongoing learning in modern data technologies and best practices.

Qualifications

• Bachelor's degree in a technical field and 2+ years in data engineering or related area.
• Proficiency in Python/SQL with exposure to cloud platforms and ETL concepts.
• Foundational skills in data pipelines, data warehousing, and analytics.

Responsibilities

• Develop, test, and maintain data pipelines and ETL/ELT processes.
• Support cloud-based data platforms and analytics solutions in AWS/Azure.
• Contribute to data models, databases, and data quality improvements.
• Collaborate with engineers, analysts, and stakeholders to deliver solutions.
• Document data flows, processes, and system configurations.

Skills

Python

SQL

PySpark

Git

CI/CD

AWS

Azure

Databricks

Spark

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Spark

Power BI

AWS

Azure

Git

Job description

Job Family:Data Science & AnalysisTravel Required:Up to 10%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Guidehouse seeks a Data Engineer 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:U.S. Citizenship or permanent residency is required and 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.TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.Experience with a programming language such as Python, Java, or SQL.Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.Experience with 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.Basic understanding of relational databases and data querying concepts.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.Experience working with public health data and agenciesExposure to Databricks, Spark, or large-scale data processing technologies.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 InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental 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 bonusAbout GuidehouseGuidehouse 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.