Guidehouse

Public Health Data Engineer

Guidehouse$70K — $116K *
US-AnywhereRemote in United States
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
  • Foundational experience in data engineering, software development, or cloud technologies.
  • Basic knowledge of programming languages such as Python, SQL, or Java.
  • Understanding of relational databases and querying concepts.
  • Familiarity with cloud platforms like AWS or Azure through courses or internships.

Responsibilities

  • Assist in developing and maintaining data pipelines and ETL/ELT processes.
  • Support the enhancement of data models and cloud-based data solutions.
  • Participate in data integration and migration efforts under senior engineer guidance.
  • Develop scripts and applications using Python, SQL, and PySpark.
  • Monitor data pipelines for issues and facilitate troubleshooting activities.
  • Collaborate with team members to deliver high-quality data engineering solutions.
  • Document technical processes and data flows.

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • 401(k) Retirement Plan
  • Tuition Reimbursement and Professional Development Opportunities
  • Employee Assistance Program
Full Job Description
Job Family:
Data Science & Analysis

Travel Required:
Up to 10%

Clearance Required:
Ability to Obtain Public Trust

What 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:
  • 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.


The annual salary range for this position is $70,000.00-$116,000.00. 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 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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