The Data Engineer will design and optimize data platforms, develop ELT workflows, utilize cloud data technologies, ensure data quality and performance, and collaborate with various teams to support analytics and machine learning operations.
HHAeXchange 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.
We are seeking a highly motivated Data Engineer who will play a key role in the design, development, and optimization of our data platforms and advanced analytics applications. In this technical role, you will collaborate closely with engineering, product, operations, and customer success teams to develop scalable, reliable, and high-performance data platforms and analytics applications, leveraging best practices. Your work will directly power advanced analytics, machine learning, and mission-critical business operations across the organization with significant impact on our customers and patients.
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 fully remote opportunity for candidates located in the EST or CST time zones within the US only.
Essential Job Duties
- Design, build, and own scalable data platforms that power analytics, machine learning, regulatory reporting, and mission-critical operational systems.
- Develop robust ELT workflows, data models, and distributed processing jobs using modern cloud data technologies.
- Implement modern data engineering solutions using technologies such as Python, SQL, dbt, Airflow, Snowflake, Tableau, Power BI, AWS data services, containerization (Docker/Kubernetes), and related cloud-native tools.
- Leverage best practices to ensure data quality, integrity, lineage, governance, performance, and reliability across all pipelines, data platforms, and analytics applications.
- Establish and maintain SLAs, monitoring, and alerting for mission-critical data services with observability design and implementation.
- Identify and resolve performance bottlenecks to ensure scalable and cost-efficient data processing.
Other Job Duties
- Other duties as assigned by supervisor or HHAeXchange 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.
- 2+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications.
- 1+ years of experience implementing, and maintaining reporting and analytics tools (e.g., Tableau, Power BI, DOMO), with knowledge of data visualization best practices.
- Experience in Python, SQL, query and database optimization, data pipelines, data modeling, and privacy/security best practices.
- Experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc.).
- Excellent communication and collaboration skills.
- Desired qualification: 1+ year experience in healthcare or homecare technology (EHR, HL7/FHIR) or regulated industries and product development.
- Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role
The base salary range for this US-based, full-time, and exempt position is $105,000-115,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
HHAeXchange New York, New York, USA Office
130 W 42nd St, 2nd Floor, New York, NY, United States, 10036
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and develop scalable data pipelines and architectures. Collaborate with data scientists and analysts. Ensure data quality and implement security measures.
Top Skills:
Amazon Quick SuiteAws GlueAws S3DatabricksEcsGitKafkaLambdaPostgresPysparkPythonRedshiftSnowflakeSQLSQL Server
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead analytics engineering initiatives, design data pipelines, develop business intelligence solutions, and ensure data governance while collaborating with stakeholders.
Top Skills:
AWSAzureDatabricksGCPPower BIPythonSparkSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Data Engineer will architect and develop robust data frameworks for data platforms, focusing on data transformations and automated workflows. Responsibilities include collaborating with stakeholders, ensuring data quality, and maintaining high engineering standards.
Top Skills:
AirflowDbtGitGitlab Ci/CdJenkinsPythonSnowflake
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
