Data Engineer, Mid

Acentra Health; United States; On-site; USD 98,720 - 123,400; Full time

Benefits offered by this job

Comprehensive health plans

Paid time off

Retirement savings

Educational assistance

Corporate discounts

Job summary

Acentra Health is seeking a Data Engineer to design, develop, and maintain data pipelines that enhance data collection and analysis in healthcare. The role requires strong programming skills, particularly in Python and SQL, as well as experience with data integration tools and cloud platforms.

Join Acentra Health to be part of a mission-driven team dedicated to improving health outcomes through technology and data. A solid background in healthcare data standards and data governance principles will be essential for success in this position.

Qualifications

• Proven experience as a Data Engineer or similar role with a focus on healthcare data.
• Hands-on experience with data integration tools and ETL frameworks.
• Understanding of data governance principles and data quality management.

Responsibilities

• Design and implement scalable and efficient data pipelines to integrate data.
• Collaborate with teams to define data requirements for data-driven initiatives.
• Monitor and troubleshoot data pipeline performance and optimize systems.

Skills

Python

SQL

Tableau

Powerbi

Apache Hadoop

Apache Spark

Data integration tools

Data modeling

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s degree or equivalent experience

Tools

ETL/ELT frameworks

Data warehousing concepts

Job description

Company Overview

Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact. Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem‑solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector.

Job Summary

The purpose of this position is to design, develop, and maintain scalable data pipelines and systems to support the collection, integration, and analysis of healthcare and enterprise data. This role will design and implement efficient data pipelines, architect robust data models, and adhere to data management best practices. It plays a crucial part in transforming raw data into meaningful insights, enabling data‑driven decision‑making across the organization. A strong technical background, keen understanding of data architecture, and passion for optimizing data processes are required.

Responsibilities

• Design and implement scalable and efficient data pipelines to acquire, transform, and integrate data from various sources, such as electronic health records, medical devices, claims data, and back‑office enterprise data.
• Develop data ingestion processes, including data extraction, cleansing, and validation, ensuring data quality and integrity throughout the pipeline.
• Collaborate with cross‑functional teams, including subject matter experts, analysts, and engineers, to define data requirements and ensure data pipelines meet the needs of data‑driven initiatives.
• Design and implement data integration strategies to merge disparate datasets, enabling comprehensive and holistic analysis.
• Implement data governance practices and ensure compliance with healthcare data standards, regulations such as HIPAA, and security protocols.
• Monitor and troubleshoot pipeline and data model performance, identifying and addressing bottlenecks, and ensuring optimal system performance and data availability.
• Design and implement data models that align with domain requirements, ensuring efficient data storage, retrieval, and delivery.
• Apply data modeling best practices and standards to ensure consistency, scalability, and reusability of data models.
• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of healthcare data.
• Develop and enforce data governance policies and procedures, including data lineage, architecture, and metadata management.
• Collaborate with stakeholders to define data quality metrics and establish data quality improvement initiatives.
• Document data engineering processes, methodologies, and data flows for knowledge sharing and future reference.
• Stay up to date with emerging technologies, industry trends, and healthcare data standards to drive innovation and ensure compliance.
• Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules.

Qualifications

• Bachelor’s degree or equivalent experience in lieu of a degree.
• Proven experience as a Data Engineer or similar role with a focus on healthcare data.
• Strong programming skills in object‑oriented languages such as Python.
• Proficiency in SQL.
• Hands‑on experience with Tableau and/or Powerbi.
• Hands‑on experience with data integration tools, ETL/ELT frameworks, and data warehousing concepts.
• Hands‑on experience with data modeling and schema design, including concepts such as star schema, snowflake schema, and data normalization.
• Familiarity with healthcare data standards such as HL7, FHIR, electronic health records, medical coding systems such as ICD‑10, SNOMED CT, and relevant healthcare regulations such as HIPAA.
• Hands‑on experience with big data processing frameworks such as Apache Hadoop, Apache Spark, etc.
• Working knowledge of cloud computing platforms such as AWS, Azure, GCP and related services such as S3, Redshift, BigQuery.
• Experience integrating heterogeneous data sources, aligning data models, and mapping between different data schemas.
• Understanding of metadata management principles and tools for capturing, storing, and managing metadata associated with data models and semantic data layers.
• Ability to track the flow of data and its transformations across data models, ensuring transparency and traceability.
• Understanding of data governance principles, data quality management, and data security best practices.
• Strong problem‑solving and analytical skills with the ability to work with complex datasets and data integration challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in cross‑functional teams.

Benefits

Benefits are a key component of your rewards package. They include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more.

Compensation

The pay range for this position is USD 98,720.00 – USD 123,400.00 per year. Applicant placement within the range will depend on years of experience and skill level.

Experience In Lieu Of Degree

For non‑clinical roles, or when not required by the contract specifically, the company acknowledges that practical, hands‑on experience can provide skills and competencies equivalent to formal education. A minimum of six years of directly relevant professional experience will be accepted in lieu of a bachelor’s degree, and a minimum of three years in lieu of an associate’s degree.

EEO

Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, status as a protected veteran or any other status protected by applicable Federal, State or Local law.