Data Engineer

FP & C, LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Shift work
Job source

Tech stack

Microsoft Word Microsoft Excel Big Data Cloud Computing Information Systems Databases Computer Literacy Data Validation Information Engineering Data Governance Data Infrastructure Data Integration
+23 more
Data Transformation Data Security Relational Databases Python (Programming Language) Microsoft Office Operational Data Store Windows PowerShell Power BI Microsoft SharePoint Software Engineering SQL Databases Tableau (Software) Unstructured Data Data Processing Scripting Azure Data Factory Information Technology Data Analytics Performance Monitor Data Management Software Version Control Data Pipelines Programming Languages

Job description

The Data Engineer is responsible for supporting data integration, data management, and data infrastructure activities for healthcare transformation, public health, and government modernization initiatives. This role supports the development, maintenance, and optimization of data pipelines, reporting environments, and data processing workflows used for analytics, evaluation, operational reporting, and stakeholder decision-making.

Working closely with analytics, evaluation, operational, and technical teams, the Data Engineer helps ensure that healthcare and operational data is accurate, accessible, secure, and appropriately structured to support reporting and analytics activities across program workstreams.

This role requires strong technical problem-solving skills, attention to detail, and the ability to work effectively with complex datasets and evolving reporting requirements. The ideal candidate brings experience supporting data integration, database management, reporting environments, or healthcare data operations within healthcare, public sector, or government-funded environments.

This role may support Rural Health Transformation Programs (RHTP) and other state-led healthcare transformation initiatives focused on improving healthcare access, quality, delivery system performance, care coordination, and population health outcomes., Data Integration & Pipeline Support

  • Support development, maintenance, and optimization of data pipelines, data integration processes, and data workflows supporting reporting and analytics activities.
  • Assist with ingestion, transformation, validation, and organization of healthcare, operational, and program data from multiple sources.
  • Support development and maintenance of structured datasets, databases, and reporting environments used for analytics and performance monitoring.
  • Troubleshoot data quality, integration, and processing issues to support accurate and reliable reporting outputs.
  • Assist with automation of recurring data processing and reporting workflows where appropriate.

Data Management & Quality Assurance

  • Support implementation of data validation, quality assurance, and data governance processes.
  • Monitor data consistency, completeness, and integrity across reporting and analytics environments.
  • Maintain technical documentation related to data sources, integration processes, reporting logic, and system workflows.
  • Support management of data access, version control, and reporting structures aligned with program requirements and organizational standards.
  • Assist with maintaining secure handling of healthcare and operational data in accordance with applicable requirements and best practices.

Reporting & Analytics Support

  • Collaborate with analytics and evaluation teams to support preparation of datasets used for dashboards, reporting, and performance measurement activities.
  • Support development and maintenance of reporting environments and operational data structures.
  • Assist with identifying opportunities to improve reporting efficiency, data accessibility, and workflow automation.
  • Support troubleshooting and resolution of reporting and data-related issues impacting program operations.

Team Collaboration

  • Collaborate effectively across technical, operational, analytical, and program teams in a fast-paced and highly collaborative environment.
  • Demonstrate professionalism, accountability, responsiveness, and strong technical problem-solving capabilities.
  • Support a culture of operational excellence, data quality, and continuous improvement., Consistent, full-time work expected Monday - Friday, eight hours per day in a focused and fast-paced environment.

Americans with Disabilities Specifications

Physical Demands

Work involves regular computer use, including typing, reading from a screen, and participating in meetings. May require occasional travel to client sites, stakeholder meetings, or program-related events.

Work Environment

Primarily remote work environment with reliable internet access and a professional home office setup conducive to focused computer-based work. Position may require occasional onsite attendance at client locations, stakeholder meetings, or program-related events based on program requirements.

Requirements

Do you have experience in Technical Proficiency?, Do you have a Bachelor’s degree?, * Bachelor’s degree required in Computer Science, Information Systems, Data Engineering, Data Analytics, Software Engineering, or a related field.

  • Minimum of 5 years of experience supporting data engineering, database management, data integration, or reporting infrastructure activities.
  • Experience supporting healthcare, public sector, Medicaid, or government-funded program data environments preferred.
  • Experience supporting reporting environments, data pipelines, data transformation processes, or analytics infrastructure preferred.
  • Experience working with structured and unstructured datasets from multiple operational or healthcare data sources preferred.

Required Knowledge, Skills & Abilities

  • Strong understanding of data integration, data transformation, database management, and reporting infrastructure concepts.
  • Experience supporting data pipelines, data processing workflows, and reporting environments.
  • Proficiency with SQL, relational databases, and data management tools.
  • Experience with Power BI, Tableau, Azure data tools, cloud-based reporting environments, or similar platforms preferred.
  • Familiarity with scripting or programming languages such as Python, PowerShell, or similar tools preferred.
  • Understanding of data quality, data validation, and data governance practices.
  • Strong analytical and technical problem-solving skills with attention to detail and accuracy.
  • Ability to manage multiple priorities and technical support activities in fast-paced environments.
  • Strong communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
  • Proficiency with Microsoft Office Suite including Excel, Word, Teams, and SharePoint.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Disability insurance
  • Paid holidays, Salary offered will be commensurate with experience for individuals in similarly situated roles. FP&C offers a competitive benefits package including:
  • Health, Dental and Vision Insurance
  • Group Life, Short Term Disability and Long-Term Disability Insurance
  • 401K with company match
  • Paid Time Off and Holidays
  • Supplemental Benefits

About the company

FP&C is an equal opportunity employer, and we are committed to seeking, employing, and treating all employees and applicants for employment without discrimination based on all characteristics protected by federal, state and/or local laws. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal “EEO is the Law” poster: https://www.eeoc.gov/poster.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:53 min

Evaluating traditional scripting languages for modern development tasks

Jens Knipper Jens Knipper · Europe 2026 Virtual

Videos

See all

Related articles

See all