Senior Data Engineer (Remote)

Overview In this senior role, you will architect and deliver scalable data integration and transformation solutions across Quest’s data platform and HAS data product. You will collaborate with architects, business stakeholders, and cross-functional teams to shape data strategy and build data-driven systems for reporting and analytics. You will drive advanced analytics initiatives, including AI/ML model lifecycle, while mentoring engineers to support patient-focused outcomes. This role blends technical leadership with hands-on data engineering to advance enterprise data capabilities and governance. Responsibilitieslead design, development, testing, and deployment of scalable data integration and transformation solutionspartner with architects, business customers, and cross-functional teams to shape data architecture strategydefine standards, reusable patterns, and best practices for data mining, acquiring, transforming, and modeling enterprise datadrive advanced analytics initiatives and the productionization of AI/ML modelsprovide technical leadership and mentorship to engineersdesign end-to-end data pipelines and data models for analytics and data science initiativesestablish and govern data architecture standards, patterns, and best practices across the organizationlead data preparation and compliance with governance, security, and healthcare regulations Key requirements5-8 years of data development experience with data pipelines and ETL5-8 years of cloud experience (AWS, Azure and/or GCP) – GCP highly preferred5-8 years in cloud-based data warehouses (Snowflake, BigQuery, Redshift, Synapse)5-8 years with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory); Matillion strongly preferred2+ years in a technical lead or data/solution architecture capacityBachelor’s Degree in a relevant fieldtechnical leadershipmentoringdesign and code reviewsSQLJavaPython