Data Engineer

CAQH; Snowflake (AZ); Remote; USD 80,000 - 120,000; Full time

Job summary

CAQH seeks a Data Engineer to build and optimize data pipelines and infrastructure remotely. Ideal candidates will have strong skills in SQL, Python, and Power BI, supporting data-driven decisions across the organization. We offer competitive compensation and an extensive benefits package, emphasizing equal opportunity in the workforce.

Benefits

Medical, dental, and vision coverage

Tuition assistance

401k

Qualifications

• 2–4 years of hands-on experience in data engineering or analytics.
• Experience delivering Power BI reports and using modern cloud data tools.
• Familiarity with enterprise or healthcare data environments preferred.

Responsibilities

• Design, build, and optimize data pipelines in Databricks and Azure Data Factory.
• Develop datasets in Delta Lake and OneLake for analytics and reporting.
• Collaborate with data scientists on AI/ML model development.

Skills

SQL

Python

Databricks

Delta Lake

Power BI

Azure Data Factory

AI/ML workflows

Analytical thinking

Collaboration

Git

Education

Bachelor’s degree in Computer Science, Information Systems, or Data Engineering

Azure Data Engineer Associate certification

Coursework in AI/ML

Tools

Azure SQL Server

Snowflake

Job description

The Data Engineer will be responsible for building, optimizing, and maintaining robust data pipelines and infrastructure to support CAQH’s enterprise data strategy.

The Data Engineer will be responsible for building, optimizing, and maintaining robust data pipelines and infrastructure to support CAQH’s enterprise data strategy. This role plays a key part in enabling data-driven decision-making across the organization by delivering clean, accessible, and scalable datasets. The ideal candidate will bring hands-on experience with the Azure tech stack, strong Power BI skills, and familiarity with AI/ML workflows to support analytics, reporting, and intelligent automation initiatives.

The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data and Analytics.

Specific Responsibilities:

• Design, build, and optimize data pipelines in Databricks and Azure Data Factory.
• Develop and maintain datasets in Delta Lake and OneLake to support analytics and reporting.
• Support the ingestion, transformation, and delivery of data into Azure SQL Server and Snowflake.
• Build and maintain interactive dashboards and data visualizations using Power BI.
• Collaborate with data scientists and analysts to support AI/ML model development and deployment.
• Write efficient, well-documented SQL and Python code to support data workflows.
• Monitor and troubleshoot data quality and pipeline performance issues.
• Contribute to metadata management, data cataloging, and data documentation.
• Participate in Agile ceremonies, sprint planning, and team knowledge sharing sessions.
• Assist in implementing data governance and security best practices.

Supervisory Responsibilities:

This position does not have direct reports. However, the Data Engineer may collaborate with contractors or external vendors on specific initiatives and is encouraged to provide technical guidance to interns or newer team members when appropriate.

Skills:

• Strong proficiency in SQL and Python.
• Hands-on experience with Databricks and Delta Lake.
• Familiarity with Microsoft Fabric and OneLake architecture.
• Proficient in building reports and dashboards in Power BI.
• Experience with Azure Data Factory for data ingestion and transformation.
• Understanding of Azure SQL Server and Snowflake for data storage and querying.
• Exposure to AI/ML workflows, including model training, data preprocessing, or feature engineering.
• Excellent analytical thinking and problem-solving skills.
• Strong communication and collaboration skills in a remote-first environment.
• Familiarity with Git or other version control systems.

Experience:

• 2–4 years of hands-on experience in a data engineering or analytics engineering role.
• Demonstrated experience delivering Power BI reports and working with modern cloud data tools.
• Experience supporting AI/ML data workflows is highly desirable.
• Prior exposure to enterprise or healthcare data environments is a plus.

Education:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• Azure Data Engineer Associate or related certification (preferred).
• Coursework or certification in AI/ML (preferred but not required).

Who We Are

The Council for Affordable Quality Healthcare (CAQH) was formed by health plans who came together nearly 25 years ago with the desire to make healthcare work better. Today, we are trusted by stakeholders from across the healthcare ecosystem to improve business processes and offer the most comprehensive provider and member data in the United States.

What You Get

CAQH recognizes that its most important asset is its growing team of smart, creative, collaborative, forward-thinking and passionate professionals – and that a comprehensive employee benefits package is an important factor for them in choosing where to work. CAQH offers competitive compensation along with an extensive benefits package for all full-time employees, including medical, dental and vision coverage, tuition assistance and a 401k. We offer full-time remote work to all staff from any location and maintain a physical office in downtown Washington, DC.

At CAQH, we are proud of our active commitment to equal opportunities for all. Our teams work diligently to foster a workplace where all individuals are valued, respected, and empowered. We embrace different perspectives and are dedicated to providing equal opportunities for everyone to thrive. Join us in our mission to transform healthcare through innovative technology solutions while making a positive impact on the lives of diverse communities.

CAQH is an equal opportunity employer. It is our policy to recruit, hire, train, and promote individuals, as well as administer any and all personnel actions, without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, source of income, place of residence, or any other characteristic protected by law. CAQH will not tolerate any unlawful discrimination, and any such conduct is strictly prohibited.