We are seeking an experienced and highly motivated Senior/Staff Data Engineer to lead the design, development, and optimization of scalable data solutions in a complex, fast-paced environment. This role will focus on delivering robust, high-performance data pipelines and platforms to support advanced analytics, machine learning, and operational data needs. The ideal candidate will have extensive experience in U.S. healthcare data, with deep knowledge of claims processing, HL7 FHIR standards, and a strong background in modern data engineering technologies.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
- 7+ years of professional experience in data engineering, with proven leadership in complex projects.
- Strong expertise in SQL and Python for data processing and automation.
- Proficiency in either Snowflake or Databricks, with a willingness to learn the other.
- Mandatory experience in U.S. healthcare data, including claims processing workflows and regulatory compliance.
- Solid understanding of HL7 FHIR standards, data integration patterns, and interoperability challenges.
- Experience with HIPAA-compliant data solutions and security best practices.
- Cloud platform proficiency (AWS, Azure, or GCP) with associated data services.
Nice-to-haves
- Experience with both Snowflake and Databricks.
- Deep knowledge of healthcare claims lifecycle and processing logic.
- Experience with real-time/streaming data processing (e.g., Kafka, Kinesis).
- Familiarity with machine learning workflows and integration into production pipelines.
- Experience with BI tools such as Tableau, Power BI, or Looker.
- Relevant certifications (e.g., Snowflake, Databricks, AWS Data Analytics).
Soft Skills
- Strong collaboration skills to work across technical and business teams.
- Excellent communication and stakeholder management skills.
- Analytical mindset with attention to detail and problem-solving ability.
- Leadership skills to mentor teams and drive architectural decisions.
Core Responsibilities
- Lead the design, development, and maintenance of scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data.
- Architect, implement, and optimize data warehouses and lakehouses leveraging Snowflake and/or Databricks.
- Integrate and process data from diverse sources, including EHR, claims systems, HL7 FHIR APIs, and healthcare-specific datasets.
- Ensure data quality, lineage, and governance in compliance with HIPAA and other healthcare regulations.
- Collaborate with business stakeholders, data scientists, and analysts to translate business requirements into efficient and reliable data solutions.
- Optimize SQL and Python code for performance, scalability, and cost efficiency.
- Implement orchestration, automation, and monitoring frameworks (e.g., Airflow, dbt, Azure Data Factory).
- Lead troubleshooting efforts for data pipeline and infrastructure issues, ensuring system reliability.
- Establish and enforce best practices for data engineering, including CI/CD pipelines, testing, and documentation.
- Mentor junior engineers and contribute to the overall technical strategy for data engineering.
Why Join Us?
- Lead high-impact projects in healthcare data engineering.
- Opportunity to work with cutting-edge cloud and big data technologies.
- Collaborative, inclusive, and innovation-driven culture.
- Competitive compensation, benefits, and career development opportunities.
What we offer
- Continuous learning and career growth opportunities
- Professional training and English/Spanish language classes
- Comprehensive medical insurance
- Mental health support
- Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
- Flexible working hours
- Inclusive and supportive culture
About Us
Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.
Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.
Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.
To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice
