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Healthtech • Software • Telehealth
Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.
Top Skills:
AirbyteAirflowAWSDbtDockerFivetranKafkaPrefectPythonRdsRedshiftS3SnowflakeSQLTerraform
Consumer Web • Healthtech • Professional Services • Social Impact • Software
As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.
Top Skills:
AirflowDbtFivetranJupyter NotebooksMetabasePythonSnowflakeSQLTerraform
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Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
As a Data Engineer/Senior Data Engineer, you will build and optimize data solutions and AI initiatives, managing data pipelines and collaborating with teams to enhance data infrastructure.
Top Skills:
AIBigQueryCi/CdGCPObject StoragePub/SubPythonScalaSparkSQL
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 Senior 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.
Your impact:
- Be a data champion and seek to empower others to leverage the data to its full potential
- Architect and own our data platform strategy, with a deep understanding of our complex data ecosystem
- Lead the design and implementation of scalable data infrastructure that powers both internal and external products
- Partner with Product to translate business requirements for data across the company into a technical roadmap and architecture for the platform
- Create and maintain data engineering best practices and mentor teams in building robust, observable pipelines
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
- Work with Executive, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Desired Skills & Experience:
- 7+ years of hands-on data engineering experience with a graduate degree in Computer Science, Statistics, or related field
- Can build large-scale data pipeline architecture, including data lakes, message queuing, and stream processing
- Strong SQL and data modeling skills with experience handling both structured and unstructured datasets
- Proven track record of building scalable data transformation processes and implementing robust data governance
- Ability to solve complex data challenges using modern big data technologies
- Experience performing root cause analysis on internal and external data and turning requirements into technical solutions
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- You are mission-driven and have exceptional project management, communication and organizational skillsHealthcare experience is a plus but not required
Tech Stack Highlights:
- The following is a list of software/tools that would be nice to have but not required:
- Big data tools: Apache Spark, Kafka
- Languages: Python, Golang, Java, Scala
- Orchestration: Apache Airflow , Apache Iceberg
- Experience with Data Lake architectures,AWS Glue, Terraform
- Relational databases like SQL, NoSQL
- Experience with cloud-based data warehouse
For Patient Facing Roles
To 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 and providing proof of immunity or vaccination for certain conditions. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
We embrace diversity and believe it creates a healthier atmosphere: Accompany Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
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
