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.
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.
Top Skills:
DatabricksKafka
.png)
Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Build and maintain reliable data pipelines, Airflow DAGs, and Snowflake-based Data Vault/warehouse models. Implement CI/CD, automated testing, observability, and production support while partnering with stakeholders and developing insurance domain expertise.
Top Skills:
Apache AirflowBigQueryCi/CdClaude CodeCursorData Observability ToolingData Vault 2.0PythonRbacRedshiftSnowflakeSnowflake CortexSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.
Top Skills:
Amazon Web Services (Aws)Azure Data FactoryDatabricksSnowflake
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
