Senior Software Engineer, Data Platforms (Remote)

REMOTE /ENGINEERING – CLOUD DATA ENGINEERING /FULL-TIME REMOTE/ REMOTE

Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.

Why This Role Is Important To Arcadia

In this position, you will work within the Enterprise Data Engineering organization, contributing to the Life Sciences product vertical to design, build, install and test data processes which ingest, transform, and analyze data at petabyte scale. Leveraging technologies like Apache Spark, AWS Glue, Kafka, Kubernetes, and Snowflake, you will build and expand the tools that enable Arcadia’s data aggregation, deidentification, and delivery services. The ideal candidate would be passionate about using technologies to solve complex problems in a distributed, non-homogeneous environment and capable of independent evaluation of technology tools and processes.

The ideal candidate will be motivated by bleeding edge technologies and methodologies with an exciting curiosity to learn and apply them to the healthcare space. They bring a strong track record in developing and delivering software through all phases of the SDLC, including cross-functional collaboration to achieve business outcomes. We are seeking self-motivated and independent individuals with the drive to be entrepreneurial who are passionate about data and problem solving and excited about the potential of that data to make meaningful change in healthcare. 

What Success Looks Like

In 3 months

- Understand the high-level data flows and architecture used in Arcadia’s Life Sciences data pipeline

- Collaborate with existing SMEs to learn and support data refresh activities.

- Contribute to development on high priority features, including data product enhancements.

- Complete onboarding requirements and team-specific training

In 6 months

- Achieve a deep understanding of the data flows and architecture used in Arcadia’s Life Sciences data pipeline and understand the related key strategic development projects

- Contribute to the design and build of more complex and impactful features, including making improvements to the pipeline to improve stability, performance, and orchestration/automation. 

- Actively contribute to discussions around feature/system design

In 12 months

- Continued excellence in building and deploying product features and technical improvements

- Identify opportunities to eliminate technical debt and improve development and delivery practices and efficiencies

What You'll Be Doing

• Leveraging Arcadia’s cutting-edge data processing stack – including Spark, AWS Glue, Kafka, Kubernetes, and Snowflake – to support the delivery of data products to our Life Sciences customers. 
• Implementing changes to the data- and data processing- architectures to improve stability, performance, and automation of the data delivery process and ensure compatibility with large-scale organization data changes.
• Building out data enhancements to unlock key customer use cases of Arcadia’s massive healthcare data assets. 
• Collaborating with cross-functional business and operations stakeholders to debug and support data delivery tasks.
• Providing feedback and recommendations to improve software development processes (SDLC) and technological investment opportunities.

What You'll Bring

• BS degree in Computer Science or equivalent hands-on experience
• Experience in at least one of Scala, Java, and/or Python
• Strong object oriented and/or functional programming fundamentals
• Experience with distributed systems and technologies (Spark, Hadoop, Kafka, etc.)
• Familiarity with the challenges of working with large-scale, complex data sets and data pipelines
• Familiarity with relational and/or NoSQL databases
• Proven ability to deliver production software, including the use of Git/GitHub and CI tools
• Commitment to learning new skills and improving upon existing ones

Would Love For You To Have

• Experience developing and deploying data processing applications on Kubernetes
• Healthcare data experience, such as EHR or Claims data
• Experience with using AWS services, such as S3, MSK, SQS, Athena, Glue
• DevOps experience, such as automating infrastructure and services in the AWS cloud

What You'll Get

• Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
• Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed
• Competitive compensation and amazing benefits including unlimited FTO
• A flexible, remote friendly company with personality and heart
• Employee driven programs and initiatives for personal and professional development
• Be a member of the Arcadian and Barkadian Community

About Arcadia

Arcadia.io helps innovative healthcare systems and health plans around the country transform healthcare to reduce cost while improving patient health.  We do this by aggregating massive amounts of clinical and claims data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as the market leader in the highly competitive population health management software and value-based care services markets, and we have been recognized by industry analysts KLAS, IDC, Forrester and Chilmark for our leadership. For a better sense of our brand and products, please explore our website, our online resources, and our interactive Data Gallery.

This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.