Senior Data Engineer

Arcadia
Remote, US
Remote
Full-time

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 .

Why This Role Is Important To Arcadia

The Arcadia Data Engineering team onboards and supports the data feed integrations between Client Claim and Clinical data management platforms and our Healthcare Solution Platform.

Our customers are top Healthcare providers and payers, and we help them integrate their internal systems with our analytic platform.

The Data Engineering team is responsible for the data architecture that drives the partnership with customers and other internal organizations to drive success through adoption of cutting edge analytic solutions that leverage new age technologies and best practices.

Our Data Engineers require both SQL Database knowledge and design , along with multiple programing languages.

As a Senior Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform.

Your efforts will be critical to driving the long-term partnership between Arcadia and our customers.

What Success Looks Like :

In 3 months

  • Learn the different areas of the data connector life cycle, while having a working knowledge of the technical stacks , storage platforms , data models , and Dev. Cycle
  • Work within Data Engineering Scrum team
  • Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)

In 6 months

  • Properly contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira
  • Work on higher level enhancement requests and ingestion pipelines
  • Ability to Deliver Data related Reviews to clients and other departments regarding code quality and test cases.
  • Set your own personal vision of development and career aspirations and set a working path forward with leadership to work on how we can help you attain those goals

In 12 months

  • Developing a range of data pipelines with varying complexity
  • Work with Product, Engineering or Implementation to build out tools for better data integration
  • Pick an SME (Subject Matter Expert) path for what excites you the most
  • Working on standardized data connector development

What You'll Be Doing

  • Design and documentation of connectors / ingestion pipelines
  • Build and Unit testing of delivery connectors / ingestion pipelines
  • Support of our processes in partaking in peer code reviews , sprint planning , product grooming , maintaining Jira tasks and peer test reviews
  • You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers.

The expectations of the day to day of a senior engineer is as follows :

Delivery

  • Responsible for delivery of work on expected timelines.
  • Able to identify risk to project success and communicate to leadership
  • Works mostly independently on delivery w / decreasing involvement from engineering and more senior team members
  • Consistently deliver increasing connectors of increasing quality with "lessons learned" incorporated into next project
  • Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work
  • Technical Domain Knowledge :
  • Working and growing knowledge of new tech stack with less focus on finding efficiency in the technology and greater focus on understanding use of it.
  • Developing ability to understand technical issues and communicate potential solutions to team members or engineering team

Business Domain Knowledge :

  • Developing working knowledge of the business of healthcare data and how it interacts within the Arcadia products
  • Understanding of shared value contracts that our customers are in and how data is impacted by them
  • Developing knowledge of industry data expected values such as PMPM by LOBs, MM trends, etc.

Communication Skills :

Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary

Team Projects :

Responsible for contributing to the advancement of team processes and internal

What You'll Bring

Experience Level 5-7 years post-grad with relevant industry experience or graduate level Degree.

TECH

  • As a data engineer you will be expected to problem solve some basic coding issues and enhancements with frameworks that are built in Spark Scala, while also leveraging technical skills to partake in idea sessions on process improvement and POC design of how to carry out a solution.
  • SQL : 4-7 year (Preferred)
  • Spark : 2-4 years (Preferred)
  • NoSQL Databases : 2-4 years (Preferred)
  • Database Architecture : 3-5 years (Preferred)
  • Cloud Architecture : 2-4 years (Preferred)

DATA

  • As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements.
  • Healthcare Data : 5-7 years (Preferred)
  • Healthcare Analytics : 3-6 years (Preferred)

What You'll Get

  • Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed
  • Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
  • 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

helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health.

We do this by aggregating large amounts of disparate 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 a market leader in the highly competitive population health management software market and 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 .

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.

21 days ago
Related jobs
Promoted
Takeda
Remote, Remote
Remote

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Senior Electronic Data Capture (EDC) Engineer. Work closely with data engineers and data management programmers at study level integration and delivery. As the Senior EDC Eng...

Promoted
Olsson
Omaha, Nebraska
Remote

As a Senior Electrical Engineer, you will work directly with some of the world’s largest technology companies and other mission-critical clients. You will serve as an electrical engineer on projects, design calculations, write technical reports, and prepare documents. Electrical Engineering knowledg...

Fingerprint for Success (F4S)
Remote, US
Remote

We are inviting professionals in high-growth industries who are thinking about their next move or looking for a new opportunity to join our expanding talent pool.The Marlee Talent Pool is a pilot project designed to:.Help job seekers get discovered by our partners based on their anticipated hiring n...

WEX Inc
Remote Office,Maine
Remote

Implement solutions for data integration, data management, metadata management, data processing, data security, and data quality, including technical delivery review, resolution of design issues, and the migration of the existing on-premises applications to the data platform. Bachelor in Computer Sc...

Perficient, Inc.
Centreville, Illinois
Remote

At least 3+ years of experience in developing large scale data processing/data storage/data distribution systems, preferably Databricks At least 3+ years of experience working with large Hadoop projects using Spark and Python and working with Spark Data Frame, Dataset APIs with Spark SQL as well as ...

Unreal Gigs
San Francisco, California
Remote

As a Senior Real-Time Data Engineer, you'll play a crucial role in designing, building, and optimizing our real-time data infrastructure. Integrate real-time data streams from diverse sources and systems into the real-time data infrastructure, ensuring data consistency, integrity, and quality. Imple...

GEICO
Chevy Chase, Maryland
Remote

Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components. Our Senior Data Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our cu...

Discord
San Francisco, California
Remote

The central Data Platform seeks to build a self-service tooling platform to make the petabytes of data at Discord easily accessible for everyone at the company. Reporting to the Engineering Manager of Data Products, you will work on strategy that is foundational to the company and product. Work with...

The Hanover Insurance Group, Inc.
Worcester, Massachusetts
Remote

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. Senior Data Engineer (REMOTE)For more than 170 years, The Hanover has beenmitted to delivering on our promises and being there when it matters the most. Our technology team is curre...

Epam
Remote, US
Remote

You will resolve complex issues, develop strategic solutions, maintain technical standards and drive continuous improvement and innovation in data engineering practices. Participate in the design, deployment, and management of data infrastructure in the cloud, primarily using major cloud platforms ....