Data Engineer - AWS

Village Center for Care, Inc.; New York (NY); Hybrid; USD 118,000 - 133,000; Full time

Job summary

VillageCare is seeking a Data Engineer - AWS to strengthen its cloud data foundation in a hybrid role. You will design and implement ELT/ETL pipelines within an AWS Data Lake, partnering with IT Security and Network Ops to ensure secure data movement and analytics-ready datasets for care and operations.

The role requires hands-on experience in AWS, SQL, and Python, plus healthcare data familiarity. The work schedule is Monday–Friday, with flexibility for remote work while delivering reliable

Qualifications

• AWS experience (2+ yrs) and SQL (5+ yrs)
• Python programming (2+ yrs)
• Healthcare data experience (2+ yrs)

Responsibilities

• Design, build, and support ELT/ETL pipelines and datasets within an AWS Data Lake
• Monitor and tune AWS data lake services; troubleshoot analytics tooling
• Build Python-based ETL jobs; develop light internal web tools
• Model schemas for structured/unstructured data; align to standards
• Provide technical oversight across vendors; partner with IT Security/Network Ops
• Contribute to integration project scoping and new pipeline design

Education

Bachelor's Degree in technical field

Masters preferred

Tools

AWS

SQL

Python

Postgres/MySQL

Redshift

AWS Glue

Spark

Lambda/API Gateway

containers

Git

Jira

Job description

Position: Data Engineer - AWS

Location: Hybrid (Must Reside in NY/NJ/CT)

Work Schedule: Monday - Friday, 9:00am - 5:00pm

Compensation: $118,135.58 - $132,902.53 Annual Salary

Our Community Mission

VillageCare is a community-based, not-for-profit organization serving people with chronic care needs, as well as seniors and individuals in need of continuing care and managed care services.

Our mission is to promote healing, better health and well-being to the fullest extent possible. Our care is offered through a comprehensive array of community and residential programs, as well as managed care. VillageCare has delivered quality health care services to individuals residing within New York City for over 45 years.

Scope of the Role

As a Data Engineer, you will strengthen VillageCare's cloud data foundation by advancing reliable, secure data movement and analytics-ready datasets in our AWS environment. This role exists to ensure stakeholders can trust and use data to support care and operations.

Key responsibilities:

• Design, build, and support ELT/ETL pipelines and datasets within an AWS Data Lake
• Monitor and tune AWS data lake services; troubleshoot analysis tooling in the cloud environment
• Build Python-based ETL jobs; develop light internal web tools as needed
• Model current and future schemas for structured/unstructured data; align to industry standards
• Provide technical oversight across vendors; partner with IT Security/Network Ops on AWS best practices
• Contribute to integration project scoping and new pipeline/component design

Required qualifications:

• AWS (2+ yrs), SQL (5+ yrs), Python (2+ yrs); Postgres/MySQL (2+ yrs), Redshift (2+ yrs)
• Healthcare data experience (2+ yrs) and awareness of Provider/Payer/Member domains
• AWS Glue, Spark, Lambda/API Gateway, containers, Git, Jira
• Minimum of Bachelors Degree in technical field (Computer Science, Management Information Systems, Statistics or analytics. Masters preferred

A Typical Workday

Your day is organized around steady progress and clear communication. You start by reviewing overnight pipeline health and AWS service metrics, then confirm priorities with project partners and vendor teams. Midday is often reserved for focused build time-iterating on a new dataset, validating transformations, or refining a schema so downstream reporting behaves consistently. You'll also field targeted questions from end users, translating business needs into concrete technical decisions, and you'll document choices so others can follow the logic. Later, you may join a working session with Security and Network Operations to align on cloud requirements, then close out by updating Jira items and pushing well-tested changes through GitHub. The schedule supports work-from-home flexibility while keeping delivery predictable.