HMA is the premier third-party health plan administrator across the PNW and beyond. We relentlessly deliver on our promise to provide medium to large-size employers with customized health plans. We offer various high-quality, affordable healthcare plan options supported with best-in-class customer service.  We are proud to say that for three years, HMA has been chosen as a ‘Washington’s Best Workplaces’ by our Staff and PSBJ™. Our vision, ‘Proving What’s Possible in Healthcare™,’ and our values, People First!, Be Extraordinary, Work Courageously, Own It, and Win Together, shape our culture, influence our decisions, and drive our results. What we are looking for: We are always searching for unique people to add to our team. We only hire people that care deeply about others, thrive in evolving environments, gain satisfaction from being part of a team, are motivated by tackling complex challenges, are courageous enough to share ideas, action-oriented, resilient, and results-driven.  What you can expect: You can expect an inclusive, flexible, and fun culture, comprehensive salary, pay transparency, benefits, and time off package with plenty of personal development and growth opportunities. If you are looking for meaningful work, a clear purpose, high standards, work/life balance, and the ability to contribute to something important, find out more about us at: https://www.accesshma.com/ How YOU will make a Difference: The Data Integrations Engineer plays a key role ensuring the smooth transmission and processing of data between internal and external systems. The ideal candidate will have experience in writing complex SQL queries, creating ETL’s, and understanding inbound and outbound EDI transactions and protocols. The incumbent will work closely with IT, business partners, and external vendors to implement new systems and update existing systems. Excellent communication skills are a must to ensure the continued smooth operation of the company. What YOU will do: - Design, code, test, deploy, maintain, monitor and execute production ETL processes - Investigate production ETL issues / problems - Work with business users to gather requirements and design, create, and implement database systems & applications. - Lead troubleshooting episodes and communicate solutions/resolutions to the team - Translate concepts to requirements and technical design - Complete projects and development activities timely and accurately while following the System Development Life Cycle (SDLC) - Develop, implement, and optimize stored procedures and functions using T-SQL - Analyze existing SQL queries for performance improvements. - Create and update EDI document mappings - Take ownership of SQL development for future products and enhancements of existing products. - Must possess analytical and complex problem-solving skills.

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions • Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte. • Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines • Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows • Build frameworks and internal self-service tooling that helps the data team deliver value faster

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient. - Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. - Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. - Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements, multitasking across various high-priority workstreams without losing sight of architectural integrity. - Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. - Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks. Qualifications - Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon). - Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus. - Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred). - Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision. - 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity. Requirements - A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages. - A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations. - Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders. Benefits - Base salary compensation range for this role is $131,250 to $175,000. - Final compensation will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. - Full time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient. - Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. - Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. - Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements, multitasking across various high-priority workstreams without losing sight of architectural integrity. - Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. - Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks. Qualifications - Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon). - Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus. - Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred). - Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision. - 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity. Requirements - A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages. - A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations. - Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders. Benefits - Base salary compensation range for this role is $131,250 to $175,000. - Final compensation will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. - Full-time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.