Data Engineer

Accompany Health is on a mission to give low-income patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice. 
We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way.
To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive. 
While our headquarters is in Bethesda, MD, our teams are distributed across the country.  If you’re eager to make a tangible difference in people’s lives, to help correct long-standing disparities in health care, join us. 
About the role:
As a Data Engineer for Accompany Health, you will help shape the future of healthcare data.  Your Impact: A mission-critical, early part of our growing team (and company).
Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across various teams to help execute the choices.
Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience.
Be part of building a great engineering culture,  maintaining the balance and right tradeoff for building products for speed and tech debt. 

Responsibilities will include:

• Be a data champion and seek to empower others to leverage data to its full potential
• Support and contribute to our data platform strategy while developing a deep understanding of our data ecosystem
• Assist in designing and implementing scalable data infrastructure components that support both internal and external products
• Collaborate with Product teams to help translate business requirements into technical solutions for our data platform
• Learn and apply data engineering best practices while building reliable, observable data pipelines
• Work with moderately complex data sets to meet functional and non-functional business requirementsHelp build and maintain infrastructure for extraction, transformation, and loading of data from various sources
• Partner with Executive, Clinical, Data, and Design teams to provide technical support for data infrastructure needs
• Develop data tools and contribute to analytics capabilities that help optimize our product and drive innovation

Desired skills and experience:

• 0-2 years of data engineering experience or recent graduate degree in Computer Science, Statistics, Engineering, or related field
• Foundational knowledge of data pipeline concepts including databases, ETL processes, and basic distributed systems
• Solid SQL skills and understanding of data modeling principles for both structured and semi-structured data
• Experience with or eagerness to learn data transformation processes and data quality best practices
• Problem-solving mindset with interest in learning modern data technologies and frameworks
• Basic experience with data analysis and turning business requirements into technical approachesAnalytical thinking skills and comfort working with various data formats and sources
• Understanding of or willingness to learn about data governance, metadata management, and workflow orchestration
• Strong communication skills, eagerness to learn, and collaborative mindset

What you'll gain:

• Hands-on experience working with real-world healthcare data and applications.
• Mentorship from experienced engineers and exposure to cutting edge technologies.
• A collaborative and fast-paced startup environment with opportunities to contribute meaningfully.

We use the following software/tools:
• Apache Spark, Kafka Languages: Python, Golang, Java, ScalaOrchestration: Apache Airflow Experience with Data Lake architectures, pipelinesRelational databases like Postgres or MySQLAWS S3, AWS Glue, AWS Athena

For Patient Facing RolesTo keep our patients, communities and each other safe, you'll be required to comply with Accompany Health’s medical clearance requirements, including completing a TB screen