Senior Data Engineer
Remote or Boston, MA
Applications have closed
Arcadia
Top providers and payers use Arcadia's healthcare data platform to unify data sources, leverage analytics, gain insight, and drive action across the care continuum.Why This Role Is Important To Arcadia
This specialized role within the Arcadia Data Engineering team focuses on enhancing and managing our robust Epic EMR integration pipeline, catering to the growing number of Epic-centric health systems in our market. The role is central to refining our Epic data integration approach from Epic Clarity, including ensuring seamless data onboarding and continuous improvement of our offerings. Ideal candidates will have significant experience with the Epic EMR ecosystem, either directly with Epic or as a Clarity analyst within a large health system. They should possess strong skills in SQL database design, programming, and an in-depth understanding of Epic data structures and workflows. This position is key to advancing Arcadia's leadership in integrating and analyzing Epic data, driving innovative solutions that meet the evolving needs of our healthcare clients and their patients.
What Success Looks Like:In 3 months- Learn the different areas of the data connector life cycle, and develop a working knowledge of the technical stacks, storage platforms, data models, and Arcadia's development cycle- Familiarize yourself with the existing Epic data pipeline and associated product capabilities- Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)
In 6 months- Begin identifying areas for additional data pipeline maturity and improvements in both accuracy and timeliness- 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- Develop pre-transformation test cases to ensure data accuracy upon data receipt to improve customer time to feedback
In 12 months - Own all new Epic implementations from data transmission through deployment and testing- Work with Product, Engineering or Implementation to build out tools for better data integration capabilities- Create, Socialize and standardize documentation and best practices regarding Epic integrations amongst internal and external teams- Create a framework for repeated and periodic reviews of existing pipelines and product enhancements
What You'll Be Doing
- 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 Clarity data platforms and our analytic health solution platform. Your outcomes are critical to driving the long-term partnership between Arcadia and our customers and making us an industry-leading Epic integration shop. This role will be foundational in the future success of our organization.
- Designing, documenting, and continuously improving Epic EMR integration pipelines, ensuring compatibility with an expanding range of Epic-centric health systems
- Building, testing, and deploying high-quality Epic data connectors and ingestion pipelines, incorporating lessons learned for continuous improvement
- Designing and leading a continuous refinement process and connector enhancement paradigm to continuously enhance our Epic connector code based on expanding capabilities
- Mentoring associate and entry-level engineers in the design and development of Epic data connectors and ingestion pipelines
- Leading unit test case and code reviews, ensuring adherence to best practices and high standards of quality
- Engaging in sprint planning, product grooming, Jira task management, and peer reviews to support efficient development processes
- Simultaneously contributing to multiple projects, including new customer setups and ongoing enhancements for existing integrations
- Delivering high-quality work on schedule, proactively identify project risks, and supporting junior engineers in risk management
- Demonstrating independence in project delivery with minimal need for oversight, applying critical thinking and problem-solving skills to complex challenges
- Enhancing technical expertise in Epic EMR technologies and other relevant tech stacks, focusing on practical application and integration
- Contributing to team processes, helping to refine and advance internal methodologies and practices
You will primarily do the following:
What You’ll Bring
- Senior Experience Level of 5-8 years post-grad with relevant Epic industry experience as an Epic employee or Epic Clarity Analyst
- As a data engineer you will be expected to problem solve some 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: 4-5 year
- Spark: 3-5 years
- NoSQL Databases: 2-3 years
- Database Architecture: 3-5 years
- Cloud Architecture: 2-3 years
- As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements.
- Skills Epic: 4-5 years Clarity
- Healthcare Data: 3-5 years
TECH
DATA:
Would Love For You To Have
- Preferred Skills: TECH
- Java : 3-5 years)
- Python: 3-5 years
- Kafka: 3-5 years
- Nifi: 3- 5 years
- AWS (S3 and EC2): 2-3 years DATA
- Caboodle
- Healthcare Analytics: 3-5 years
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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Data analysis EC2 Engineering Java Jira Kafka NiFi NoSQL Pipelines Python Research Scala Security Spark SQL Testing
Perks/benefits: Career development Flex hours Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs