Data Engineer II

GI Alliance; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading healthcare company is seeking a Data Engineer to join their team. The role involves developing and maintaining data pipelines, ensuring data integrity, and implementing best practices in data governance. The ideal candidate will have extensive experience in the healthcare industry and proficiency in SQL and Snowflake. This is a full-time position with competitive pay and benefits.

Benefits

Medical insurance

Vision insurance

Qualifications

• 5+ years of experience in data engineering, focusing on healthcare.
• Expertise in SQL development and data modeling.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Optimize and troubleshoot data workflows for integrity and performance.

Skills

SQL

Python

Data Governance

Agile

Problem Solving

Communication

Education

Bachelor’s degree in computer science

Tools

Snowflake

Git

Azure

VS Code

Job description

This range is provided by GI Alliance. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $130,000.00/yr

Direct message the job poster from GI Alliance

The Intersect Group is seeking an experienced Data Engineer for our direct healthcare client, where you will join a team responsible for developing and maintaining the entire technical stack of the Enterprise Data Warehouse (EDW).

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Snowflake and Matillion.
• Optimize and troubleshoot data workflows to ensure data integrity, performance, and reliability.
• Ingesting data from all external sources, modeling and structuring data stores, moving data from source to target, and presenting data securely and efficiently to meet operational and financial reporting needs.
• Maintaining third-party data integrations and ingesting historical data from new practice acquisitions into the EDW.
• Implement data governance and security best practices to protect sensitive healthcare data.
• Participate in code reviews, testing, and documentation to ensure high standards of data engineering practices.
• Monitoring and managing cost and usage limits to prevent exceedances.

Qualifications

Education: Bachelor’s degree in computer science, related IT systems program of study, or alternate program with equivalent IT related experience.

• Technical Experience5+ years of experience in data engineering, with a focus on the healthcare industry.
• Expertise in SQL development; experienced with data modeling and database design, building database objects, ETL, analysis, and troubleshooting/performance tuning
• Proficiency in Snowflake cloud data platform and ETL for data integration and transformation; 3+ years in Snowflake preferred
• 3-5 years of experience in Python development, including Numpy and Pandas library, Snowflake connector for Python SDK, Jupyter Notebooks, Azure SDK, and custom module imports. Experience loading and transforming data using Pandas data frames.
• Experience in collaborating on source code using Git repositories, including pull request reviews and branching strategies. Proficient in platforms such as GitHub, Azure DevOps, GitLab, or similar user interfaces.
• Experience working on data engineering teams utilizing Agile methodology.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing concepts.
• Developing data integrations and loading and mapping data from disparate sources into a relational database platform using code editor such as VS Code, integrated with GitHub repositories.
• Creating source-to-target mapping (STM) documentation, understanding data types and sizing, and representing relational tables using data modeling tools and MS Excel.
• Knowledge of data governance, security, and compliance in the healthcare industry.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Industry Specific Experience
• Development of financial data integrations and mappings from legacy to target schemas. Demonstrate conceptual knowledge of period accounting data, how to collect, present and validate charges, refunds, payments, voids to balance a period from the legacy system to a reporting system.
• Development of medical data integrations and mappings from disparate file(s) into a target reporting schema. Demonstrate detailed knowledge of medical data, periods of care, CPT codes, encounters, service dates, primary/secondary insurance carriers, payment data, locations of service and providers.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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Inferred from the description for this job

Medical insurance

Vision insurance

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