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Overview The SciTech organization at VNS Health is seeking an experienced Analytics Data Engineer to join our team. This hybrid role combines data engineering and analytics engineering - with the ideal candidate working end to end on ingestion, transformation, and data modeling workflows to power VNS's advanced analytics and machine learning products. The Data Analytics Engineer will initially focus on developing the Care Transitions Platform, ensuring reliable ingestion and transformation of claims and membership data for downstream analytics and ML scoring. What We ProvideReferral bonus opportunitiesGenerous paid time off (PTO), starting at 30 days of paid time off and 9 company holidaysHealth insurance plan for you and your loved ones, Medical, Dental, Vision, Life and DisabilityEmployer-matched retirement saving fundsPersonal and financial wellness programsPre-tax flexible spending accounts (FSAs) for healthcare and dependent careGenerous tuition reimbursement for qualifying degreesOpportunities for professional growth and career advancementInternal mobility, generous tuition reimbursement, CEU credits, and advancement opportunitiesWhat You Will DoDevelop and orchestrate scalable ETL/ELT processes using AWS B2B Data Interchange, Glue, Step Functions, and Redshift, ensuring data integrity, reliability, and performance.Apply advanced knowledge of healthcare data standards (e.g. EDI 834/835/837, FHIR) to build compliant data interfaces.Implement automated data quality checks and validation processes to ensure completeness and accuracy of raw and transformed healthcare data.Collaborate with data scientists and analysts to design clean, reusable, and well-documented data marts that support ML pipelines and other advanced analytics, including Generative AI and large language model applications.Implement, document, and deploy data marts to Redshift and Snowflake using dbt.Manage source control, testing, and deployment using GitLab CI/CD, supporting collaborative, version-controlled data development.Apply Infrastructure as Code (IaC) and DevOps principles to automate and scale data pipeline deployment across environments.Support and enhance the data pipelines powering VNS Commercial Analytics products, ensuring consistent service levels.Work collaboratively within an agile development environment, participating in sprint planning, code reviews, and backlog grooming.Ensure compliance with data security, privacy, and governance standards, particularly those applicable to PHI and HIPAA.Participates in special projects and performs other duties as assigned.Qualifications Licenses and Certifications:AWS Certified Data Engineer preferred Education:Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems or a related field required Master's Degree preferred Experience:Three plus years in data engineering, analytics engineering, or equivalent experience requiredExperience building robust ETL/ELT pipelines that conform to industry data standards (e.g., HL7, X12), for healthcare or a related sector (e.g., finance, insurance) requiredAdvanced SQL skills and experience with data modeling concepts (SCDs, normalization, dimensional modeling) requiredProficiency in Python (for data manipulation, automation, or orchestration) requiredExperience with Git-based collaboration and CI/CD automation (preferably GitLab CI) requiredExperience with cloud data engineering (AWS, GCP, or Azure), with a preference for prior AWS Data Engineering experience (e.g., using S3, Glue, Lambda, Step Functions, Redshift) requiredExperience working in agile environments with cross-functional data teams requiredFamiliarity with data governance, role-based access controls (RBAC), and HIPAA compliance preferred Significant experience working with healthcare data in industry standard formats (HL7, X12), and familiarity with healthcare data sources (e.g.,