Principal Data Engineer

Accompany Health

1d•$180,000 - $215,000•Remote

About The Position

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 youâre eager to make a tangible difference in peopleâs lives, to help correct long-standing disparities in health care, join us. About the role: As a Principal Data Engineer for Accompany Health, you will be: -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.

Requirements

You are entrepreneurial and mission-driven and can present your ideas with clarity and confidence clarity and confidence
Advanced working SQL knowledge and experience working with relational databases
Experience building and optimizing âbig dataâ data pipelines, architectures, and data sets. A definite plus with healthcare experience
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large disconnected datasets
Working knowledge of message queuing, stream processing, and highly scalable âbig dataâ data stores
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
We are looking for a candidate with 7+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

Nice To Haves

Experience with cloud-based data warehouse: Snowflake
Experience with relational SQL and NoSQL databases
Experience with object-oriented/object function scripting languages: Golang, Python, Java, C++, Scala, etc.
Experience with big data tools: Spark, Kafka, etc.
Experience with data pipeline and workflow management tools like Airflow

Responsibilities

Be a data champion and seek to empower others to leverage the data to its full potential
Understand our complex data ecosystem
Work with the product team and stakeholders to translate business requirements for data across the company into a technical roadmap and architecture for the platform
Act as the leading data domain expert and owns platform data architecture
Lead the technical design and implementation of reliable, scalable, and efficient data infrastructure, data-driven products, and software solutions for external and internal customers
Provide technical leadership to define overall data engineering best practices, standards, and architectural approaches and drive technical excellence. Identify design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create and maintain optimal data pipeline architecture with high observability and robust operational characteristics
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 a wide variety of data sources using SQL
Work with stakeholders, including the Executive, Product, 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