VNS Health · 1 day ago
Senior Engineer, Data Analytics Warehousing
VNS Health is one of the nation’s largest nonprofit home and community-based health care organizations. They are seeking an experienced Analytics Data Engineer to develop and orchestrate scalable ETL/ELT processes, ensuring reliable data ingestion and transformation for advanced analytics and machine learning products.
CharityHealth CareHome Health CareNon Profit
Responsibilities
Develop 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
Qualification
Required
Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems or a related field
Three plus years in data engineering, analytics engineering, or equivalent experience
Experience 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)
Advanced SQL skills and experience with data modeling concepts (SCDs, normalization, dimensional modeling)
Proficiency in Python (for data manipulation, automation, or orchestration)
Experience with Git-based collaboration and CI/CD automation (preferably GitLab CI)
Experience 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)
Experience working in agile environments with cross-functional data teams
Preferred
AWS Certified Data Engineer
Master's Degree
Familiarity with data governance, role-based access controls (RBAC), and HIPAA compliance
Significant experience working with healthcare data in industry
Standard formats (HL7, X12), and familiarity with healthcare data sources (e.g., EMR data, claims)
Benefits
Referral bonus opportunities
Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability
Employer-matched retirement saving funds
Personal and financial wellness programs
Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care
Generous tuition reimbursement for qualifying degrees
Opportunities for professional growth and career advancement
Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities
Company
VNS Health
VNS Health provides home care, hospice care, and behavioral health services.
H1B Sponsorship
VNS Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (7)
2024 (7)
2023 (9)
2022 (8)
2021 (4)
2020 (11)
Funding
Current Stage
Late StageLeadership Team
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