Senior Data Engineer

TL;DR

Senior Data Engineer: Design and implement scalable data pipelines for healthcare platform with an accent on ingestion, transformation, quality features, and modeling. Focus on building high-performance exports, supporting analytics with big data technologies like Spark, and ensuring reliability in cloud environments.

Location: Hybrid - at least 3 days/week in our Dallas, TX office

Company

hirify.global is the specialty care platform connecting people with top specialists for surgery, cancer care, infusions and more, delivering excellent care and cost savings to employers and workforces nationwide.

What you will do

• Design and implement robust, scalable data pipelines for ingestion, transformation, and quality.
• Build data models with Data Engineering Manager and Product to support analytics and business needs.
• Develop data export solutions for efficient transfer to external systems.
• Contribute to design documents, technology assessments, and Proof of Concepts.
• Support production jobs, write tests, and contribute to roadmap, PR reviews, and best practices.

Requirements

• 5+ years as Data Engineer building enterprise data solutions
• 3+ years with cloud infrastructure on Azure (preferred), AWS, or GCP
• Strong Python and SQL skills, expertise in Microsoft SQL Server or relational DBs, performance tuning.
• Experience with Spark (preferred), Databricks, data lakes, scalable pipelines.
• Terraform or IaC for cloud resources; strong communication for technical concepts.

Nice to have

• Healthcare standards like HL7, X12 EDI, FHIR.
• RESTful APIs, Power BI dashboards.

Culture & Benefits

• Medical, Dental, Vision Insurance; Short & Long Term Disability, Life Insurance.
• 401k with company match, Paid Time Off, Paid Parental Leave.
• Emphasis on LOGIC, INCLUSION, GRIT, HUMANITY, TRUTH, and team collaboration (LIGHT pillars).
• Fast-paced environment valuing execution, innovation, continuous learning.