Data Engineer
Remote, United States
HealthEdge
Power your digital healthcare transformation with an ecosystem of healthcare SaaS that manages all your complex needs.Overview
Position Overview: In this role you will be an integral part of the Data Engineering team responsible for building high quality, robust and scalable data platform environments and solutions to support our data lake and data warehouse environments. Our team collaborates closely with other engineering, analytics and data science teams to identify and implement optimal data solutions for the Wellframe platform.
About Technology Team:
Our Technology Team is a dynamic group of innovators reshaping the future of healthcare technology. This team thrives on collaboration, bringing together top talent from diverse backgrounds to create scalable, secure, and cutting-edge platforms. With expertise in cloud infrastructure, AI, and user experience design, they enable transformation for healthcare health plan solutions. Beyond technical excellence, the HealthEdge Technology Team is passionate about empowering clients. They prioritize transparency, thoughtful resource allocation, and a commitment to seamless experiences. Guided by visionary leadership and a deep enthusiasm for innovation, this group is redefining what’s possible in healthcare technology.
Your Impact:
- Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements.
- Work closely with data architect, SMEs and other technology partners to develop & execute data architecture and product roadmap.
- Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance including operational efficiency and business metrics.
- Work with stakeholders including the leadership, product, customer teams to support their data infrastructure needs while assisting with data-related technical issues.
- Act as a subject matter expert to other team members for technical guidance, solution design and best practices within the customer organization.
- Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concept and make recommendations on cloud technologies.
What You Bring:
- 3+ years of data engineering experience working in partnership with large data sets (preferably terabyte scale)
- Experience in building data pipelines using any of the ETL tools such as Glue, ADF, Notebooks, Stored Procedures, SQL/Python constructs or similar.
- Deep experience working with industry standard RDBMS such Postgres, SQL Server, Oracle, MySQL etc. and any of the analytical cloud databases such as Big Query, Redshift, Snowflake or similar
- Advanced SQL expertise and solid programming experience with Python and/or Spark
- Experience working with orchestration tools such as Airflow and building complex dependency workflows.
- Experience, developing and implementing Data Warehouse or Data Lake Architectures, OLAP technologies, data modeling with star/snowflake-schemas to enable analytics & reporting.
- Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems.
- Excellent communication and presentation skills as you’ll be regularly interacting with stakeholders and engineering leadership.
- Bachelor’s or master's in quantitative disciplines such as Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields.
Bonus Points:
- Hands-on deep experience with cloud data migration, and experience working with analytic platforms like Fabric, Databricks on the cloud.
- Certification in one of the cloud platforms (AWS/GCP/Azure)
- Experience or demonstrated understanding with real-time data streaming tools like Kafka, Kinesis or any similar tools.
HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.
Geographic Responsibility: While HealthEdge is located in Burlington, MA you may live anywhere in the US Type of Employment: Full-time, permanent
Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
- The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
- Work across multiple time zones in a hybrid or remote work environment.
- Long periods of time sitting and/or standing in front of a computer using video technology.
- May require travel dependent on company needs.
The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.
HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Big Data BigQuery Computer Science Databricks Data pipelines Data visualization Data warehouse Engineering ETL GCP Healthcare technology Kafka Kinesis Mathematics MySQL OLAP Oracle Pipelines PostgreSQL Python RDBMS Redshift Snowflake Spark SQL Statistics Streaming
Perks/benefits: Salary bonus Transparency
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