Engineer, Data (Data Engineer)

TL;DR

Engineer, Data (Data Engineer): Designing, building, and maintaining reliable data pipelines and API integrations that enable analytics, operational reporting, and data-driven decision making with an accent on scalable data engineering and production data quality. Focus on hands-on development using Microsoft SQL, cloud big data tools (Databricks, Apache Spark, Azure) and event-driven/distributed architectures while modernizing platforms and resolving pipeline issues.

Location: Remote - Nationwide

Salary: $101,600 - 144,900

Company

hirify.global provides technology-enabled revenue cycle management solutions for health systems and affiliated physician groups.

What you will do

• Develop, test, deploy, and maintain data pipelines and API integrations using established patterns and standards.
• Use generative AI tools to assist with development, troubleshooting, and improving code quality under guidance.
• Translate product and business requirements into reliable technical solutions and participate in design discussions and code reviews.
• Implement and support data quality checks to ensure accurate, reliable production data.
• Monitor pipelines and resolve data issues in partnership with senior engineers.
• Document solutions, processes, and operational considerations for reuse and support.

Requirements

• 3+ years of hands-on experience developing solutions using Microsoft SQL.
• 2+ years of experience with big data and cloud technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).
• Working knowledge of engineering fundamentals including automated testing, code reviews, telemetry, and DevOps practices.
• Experience with modern data storage formats such as Delta Lake and Parquet in ADLS.
• Familiarity with distributed data processing and event-driven architectures.
• Willingness and ability to travel and work onsite at client, temporary, or corporate office locations as business needs require.

Nice to have

• Experience working with healthcare data; familiarity with HL7 or EDI.

Culture & Benefits

• Comprehensive benefits package including healthcare, time off, retirement, and well-being programs.
• Work-life flexibility and a people-first culture focused on collaboration, growth, and innovation.
• Professional development support with relevant certifications and tuition reimbursement.
• Quarterly and annual incentive programs for employees who go beyond and raise the bar.

Hiring process

• Interviews focused on data engineering experience, pipeline/integration work, and collaboration.
• Technical evaluation of SQL, cloud big data (Databricks/Spark/Azure), and data quality practices.
• Discussion of fit with engineering standards, documentation, and travel/on-site expectations.