Senior Data Engineer

United StatesRemoteFull-timesenior

Data EngineerData

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Overview

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Accompany Health is on a mission to give 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

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

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 skills

Healthcare experience is a plus but not required

The following is a list of software/tools that would be nice to have but not required:

Big data tools: Apache Spark, Kafka