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Data Engineer (Clinical)

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

$90000 / YEARLY (est.)
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$70000K
$110000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

At Arcadia, we believe in the power of data to transform healthcare, and that's where our role for a Data Engineer (Clinical) comes into play. Join our vibrant Data Engineering team, and you'll be part of an exhilarating journey that empowers top healthcare providers and payers to seamlessly integrate their data with our innovative analytics platform. In this position, you'll work closely with both Client Claim and Clinical data management systems, crafting data pipeline connectors and ensuring smooth data flow. Picture yourself diving deep into SQL databases and programming languages as you design and document ingestion pipelines while enhancing our healthcare solution's architecture. Within the first few months, you'll become acquainted with our technical stacks and quickly become an integral part of our agile scrum team. You will have opportunities to unveil your creativity while solving complex data analysis issues and collaborating with stakeholders to deliver actionable insights. After about a year, you'll be making significant contributions with varying complexities of data pipelines and striving toward your professional aspirations with guidance from our leadership team. Plus, you'll thrive in an environment that values personal and professional growth, offering you flexibility and a mission-driven culture that truly cares about transforming the healthcare landscape. If you're ready to utilize your expertise in a role that's all about connection, innovation, and improving patient care, then the Data Engineer (Clinical) position at Arcadia might just be the perfect fit for you.

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

As a Data Engineer (Clinical) at Arcadia, your responsibilities will involve designing and documenting connectors and ingestion pipelines for seamless data integration. You'll build and conduct unit testing of delivery connectors while participating in peer code reviews and scrum ceremonies. Your main focus will be on delivering work on time, identifying project risks, and collaborating with various teams to ensure high-quality data workflows.

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

To qualify for the Data Engineer (Clinical) position at Arcadia, candidates should ideally have 2-5 years of relevant experience in data engineering, with a strong foundation in SQL and knowledge in programming languages such as Spark Scala. Additionally, experience with NoSQL databases, cloud architecture, and healthcare data analytics will be beneficial. A degree in a related field is also expected.

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What programming languages should I be familiar with as a Data Engineer (Clinical) at Arcadia?

Familiarity with SQL databases is essential for the Data Engineer (Clinical) position at Arcadia. Additionally, having experience with programming languages like Spark Scala, as well as understanding NoSQL databases, will help you excel in this role. Your technical skills will be crucial in tackling data-related challenges and enhancing our healthcare analytics solutions.

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What does success look like for a Data Engineer (Clinical) at Arcadia in the first year?

In the first year as a Data Engineer (Clinical) at Arcadia, success entails mastering various aspects of the data connector life cycle, contributing to scrum initiatives, and developing an array of complex data pipelines. You'll also establish a development path that aligns with your career aspirations while playing an essential role in forging partnerships with our clients through high-quality data integration projects.

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How does Arcadia support professional development for Data Engineers?

Arcadia is committed to the growth of its employees, including Data Engineers. The company offers employee-driven programs and initiatives for personal and professional development, allowing you to explore your interests in healthcare data, become a subject matter expert, and chart a fulfilling career path within the organization.

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Common Interview Questions for Data Engineer (Clinical)
Can you explain your experience with SQL and how it applies to the Data Engineer (Clinical) role?

In your response, highlight specific projects where you utilized SQL for data querying and manipulation. Discuss any experience with database design and your understanding of relational databases. Emphasizing your capacity to write optimized queries and troubleshoot issues can showcase your proficiency.

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Describe how you handle data pipeline development in previous projects.

Focus on the steps you take in developing data pipelines, including the design, documentation, and testing phases. Share examples that illustrate your capacity to deliver quality results while managing timelines and collaborating with various teams.

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What programming languages are you most comfortable with, and how have you used them in data engineering?

Identify the programming languages you've utilized, such as Spark Scala, and describe particular contexts in which you've used them. For instance, speaking about how you've implemented scalable data processing algorithms can demonstrate your technical expertise.

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

Discuss your approach to maintaining data quality, including thorough testing, validation, and monitoring practices. Highlight any methodologies you've applied, like unit tests or peer reviews, that help ensure high-quality data outputs.

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Can you provide an example of a complex problem you faced in data integration and how you solved it?

Take the interviewer through a specific challenge you encountered in data integration. Outline the problem, your thought process in addressing it, the solution implemented, and the results. Demonstrate your problem-solving skills and technical know-how.

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How do you prioritize tasks in a fast-paced scrum environment?

Explain your strategy for prioritization, focusing on how you assess jeopardy vs importance and leverage tools like Jira to track tasks. Provide examples of how you've successfully managed competing deadlines while still meeting project scopes.

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What tools do you use for data visualization and reporting?

Mention the data visualization tools you are familiar with, like Tableau or Power BI, and explain how you have used these tools to communicate insights drawn from data. Discussing any experience with reporting frameworks can underscore your analytical capabilities.

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What role does communication play in data engineering, and how have you applied it?

Highlight the importance of communication within cross-functional teams, especially when discussing technical issues with non-technical stakeholders. Share instances where effective communication facilitated project success or enhanced collaboration.

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How do you stay updated with advancements in data technologies?

Share your strategies for keeping abreast of the evolving landscape of data technologies, such as attending conferences, participating in relevant professional organizations, or following key thought leaders in the industry. This underscores your commitment to lifelong learning.

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What interests you most about working as a Data Engineer at Arcadia?

Express your passion for transforming healthcare data and improving patient outcomes. Connect your personal values and career aspirations with Arcadia's mission to enhance the healthcare industry, showing your alignment with the company's goals.

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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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