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Data Engineer (Claims)

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

 

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 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 an 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 2-5 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: 2-4 year (Preferred)
  • Spark: 1-2 years (Preferred)
  • NoSQL Databases: 1-2 years (Preferred)
  • Database Architecture: 2-3 years (Preferred)
  • Cloud Architecture: 1-2 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: 2-4 years (Preferred)
  • Healthcare Analytics: 1-3 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

Arcadia.io 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.


Protect Yourself

If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit 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.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Data Engineer (Claims), Arcadia

At Arcadia, we believe in making healthcare better for everyone, and as a Data Engineer (Claims), you'll play a vital part in that vision. Our mission is to seamlessly transform diverse data into actionable insights that empower top healthcare providers and payers to deliver exceptional care and foster growth. In this role, you'll be part of a dynamic Data Engineering team, diving deep into the realm of data feed integrations between Client Claim and Clinical data management platforms. Your expertise will shape the architecture that propels our customer relationships and drives success through innovative analytics solutions. We're looking for someone who possesses strong SQL Database knowledge and experience with multiple programming languages. As a Data Engineer at Arcadia, you'll not only develop solution architectures and automate data flow, but you'll also contribute to the sustainable partnerships we build with our clients. Initially, you'll focus on learning the data connector lifecycle, actively participating in scrum activities, and collaborating with our talented team. Twelve months from now, you'll be an integral part of building complex data pipelines and fine-tuning our analytic health solution platform. Join us to harness the power of data and directly impact healthcare outcomes!

Frequently Asked Questions (FAQs) for Data Engineer (Claims) Role at Arcadia
What are the responsibilities of a Data Engineer (Claims) at Arcadia?

As a Data Engineer (Claims) at Arcadia, your main responsibilities include designing and documenting data connectors and ingestion pipelines, automating data flow between client systems and our analytic platform, and partaking in scrum ceremonies. You'll also contribute to peer code reviews, maintain JIRA tasks, and provide technical insights to enhance data integration solutions.

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What qualifications do I need to apply for the Data Engineer (Claims) position at Arcadia?

To qualify for the Data Engineer (Claims) role at Arcadia, you should have 2-5 years of relevant industry experience or a graduate level degree. Strong knowledge of SQL (2-4 years preferred), experience with Spark, NoSQL databases, and cloud architecture is highly valued. Familiarity with healthcare data and analytics will give you an edge in this position.

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What skills are essential for a Data Engineer (Claims) working at Arcadia?

Essential skills for a Data Engineer (Claims) at Arcadia include strong problem-solving abilities, proficiency in SQL, experience with data analysis, and familiarity with healthcare data. Additionally, being knowledgeable in coding languages like Spark Scala and understanding database architecture will be critical for success.

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What does the career path look like for a Data Engineer (Claims) at Arcadia?

At Arcadia, the career path for a Data Engineer (Claims) allows for growth through hands-on projects and collaboration with various teams. Within your first year, you will have opportunities to work on increasingly complex data pipelines, refine your skills, and pick a specialization that excites you.

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How does Arcadia support the professional development of their Data Engineers?

Arcadia is committed to the professional development of their Data Engineers by offering employee-driven programs, initiatives for personal and professional growth, and a flexible environment that encourages innovation and collaboration.

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Common Interview Questions for Data Engineer (Claims)
Can you explain your experience with SQL and how it relates to data engineering?

When answering this question, provide specific examples of projects where you've utilized SQL, describe how you've designed database schemas, and illustrate how your SQL skills have contributed to successful data pipelines or database management.

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What challenges have you faced in data integration projects and how did you overcome them?

Be prepared to discuss specific challenges you encountered, such as issues with data quality or compatibility, and detail the strategies you used to address them, focusing on your problem-solving and critical-thinking skills.

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How do you ensure the quality and accuracy of the data processed in your pipelines?

Describe the methods you use for validating data, such as testing frameworks, monitoring, and reviewing data quality metrics. It's also helpful to mention how peer reviews and collaborative processes play a role in this quality assurance.

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What is your approach to working in a scrum or agile development environment?

Your answer should highlight your familiarity with agile methodologies, including participation in daily stand-ups, sprint planning, and retrospectives. Include examples of how you adapt to changing priorities and collaborate with team members.

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Can you describe a project where you successfully implemented a data pipeline?

Share a detailed example of a data pipeline project, discussing the scope, your specific role, technologies used, and the end results. Highlight obstacles you faced and how you tackled them collaboratively.

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What tools and technologies have you worked with for data engineering?

Mention the various tools you've used, such as Spark, SQL databases, NoSQL databases, and cloud platforms, providing examples of how you leveraged these technologies to achieve project goals.

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How do you stay updated on the latest trends and technologies in data engineering?

Discuss your preferred methods for staying current, whether through blogs, online courses, webinars, or attending industry conferences. Highlight how this commitment informs your work and drives innovation in your projects.

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What is your experience with healthcare data, and how do you approach challenges unique to this domain?

Talk about any relevant experience working with healthcare data, emphasizing your understanding of regulatory requirements and quality standards. Illustrate how you've successfully navigated challenges such as interoperability or privacy concerns.

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What do you think is the most important aspect of being a successful Data Engineer?

Articulate the importance of a strong foundation in both technical skills and communication. Emphasize how collaboration with cross-functional teams is key to delivering successful data solutions.

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How do you prioritize tasks when working on multiple projects simultaneously?

Explain your time management strategies, such as using project management tools to track tasks, prioritizing based on project timelines, or collaborating with team members to align on priorities and expectations.

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Arcadia is a climate technology company enabling a zero-carbon economy.

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Full-time, remote
DATE POSTED
March 21, 2025

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