Public Health Data Engineer

Guidehouse is seeking an early-career Data Engineer to support public health data initiatives. The role focuses on developing and maintaining data pipelines, cloud-based data platforms, ETL/ELT processes, and analytics solutions while collaborating with technical stakeholders and supporting data quality and modernization efforts.

Responsibilities

• 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

Preferred

• 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 agencies
• Exposure 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
• Cloud computing
• Software development
• Relational databases
• Data querying
• Git
• Software development lifecycle
• Agile methodologies
• Public health data
• Public health agencies
• Databricks
• Apache Spark
• Large-scale data processing
• Amazon S3
• AWS Lambda
• Amazon Redshift
• Azure Data Factory
• Azure Functions
• Azure Cosmos DB
• Data visualization
• Power BI
• Tableau
• Kibana
• CI/CD
• DevOps practices
• Cloud certifications
• Data certifications
• Healthcare clients
• Public sector clients
• Federal clients
• Data architecture
• Machine learning
• Artificial intelligence
• Advanced analytics
• Consulting experience
• Client-facing experience
• Internship experience
• Cooperative education experience
• Analytical skills
• Problem-solving
• Troubleshooting
• Learning agility
• Collaborative teamwork
• Verbal communication
• Written communication

Benefits

• 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
• Flexible benefits package

Company

• AI-led advisory, technology, and managed services for enterprises
• Mclean, Virginia, USA
• https://guidehouse.com/
• Founded in 2018
• 10001+ employees

Qualifications

• 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
• 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 agencies
• Exposure 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
• TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

Required skills

• Data Engineering, Python, SQL, AWS, Azure, Data Integration, ETL, Data Warehousing, Git, Public Health Data, Databricks, Apache Spark

Preferred skills

• Familiarity with version control systems such as Git, Strong verbal and written communication skills, Experience working with public health data and agencies, Exposure to CI/CD tools and DevOps practices, AWS, Azure, Databricks, or related cloud/data certifications

Experience

• 2+ years