Jobs and Careers

Director, Data Engineering

New York City, United Statesfull_timeVerifiedPosted 3 Jul 2025

💰 $195,000/yr($180,000/yr – $195,000/yr)

About the role

HAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states. The Director, Data Engineering leads the teams responsible for building and maintaining our core Analytics data platform, including business analytics, reporting, visualization and data analysis capabilities. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This is a hybrid position based out of our Midtown Manhattan, Washington D.C. or Bloomington, MN office locations, with an on-site presence required two days per week to support team collaboration.

Essential Job Duties

Strategy & Leadership:
Define and execute the strategic roadmap for our enterprise data platform, aligning with product, compliance, and business objectives.
Lead and mentor a cross-functional team including data engineers, BI analysts, and data architects.
Collaborate with senior leadership, product management, and other stakeholders to translate business needs into scalable data solutions.
Advocate for data governance, privacy, and security in accordance with HIPAA and other healthcare regulations.
Data Engineering & Architecture:
Oversee the design, implementation, and optimization of scalable data pipelines (ETL/ELT) that support internal analytics and product features.
Manage the development of our Data Lake implementation, consolidating data that originates in one of the 7 software platforms that we support into a single unified store of information
Ensure data infrastructure supports near real-time and batch processing for diverse use cases including analytics, machine learning, and customer reporting.
Business Intelligence & Reporting:
Build and evolve a centralized BI function that supports self-service reporting and interactive dashboards for internal and external stakeholders.
Own the architecture and lifecycle of reporting tools (e.g., Looker, Power BI, Tableau) and data visualization best practices.
Establish KPI definitions, data quality standards, and reliable data access layers for cross-functional reporting.
Compliance & Operations:
Ensure all data practices comply with relevant regulations (HIPAA, SOC 2, HITRUST) and industry standards.
Develop and manage SLAs for data availability, reliability, and accuracy.
Define and implement monitoring, alerting, and observability across the data ecosystem.
Team Building & Execution:
Build a high-performing team through hiring, mentorship, career development, and performance management.
Manage project prioritization, resource allocation, and execution timelines to deliver against commitments.
Foster a culture of ownership, continuous improvement, and cross-functional collaboration.

Other Job Duties

Other duties as assigned by supervisor or HHA exchange leader.

Travel Requirements

Travel up to 10%, including overnight travel

Required Education, Experience, Certifications and Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
10+ years of experience in data engineering, data architecture, or BI in high-scale SaaS or cloud environments.
5+ years in a people leadership role, ideally including Director-level experience managing diverse technical teams.
Proven experience with modern data platforms and cloud-native technologies (e.g., AWS, Azure, GCP, Snowflake, Databricks, dbt, Kafka).
Strong proficiency in SQL, data modeling, and distributed data systems.
Experience with BI and reporting tools (e.g., Looker, Tableau, Power BI) and setting up scalable reporting systems.
Deep understanding of data privacy, security, and compliance frameworks relevant to healthcare (HIPAA, HITRUST, etc.).
Strong communication and stakeholder management skills across technical and non-technical audiences.
Experience working in a healthcare technology company or with clinical data (EHR, HL7/FHIR).
Familiarity with machine learning operations and enabling data science workflows.
Experience