Senior Data Integration Engineer

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

What We're Looking For

We are seeking an experienced Data Engineer specializing in healthcare data pipelines to join our team. The ideal candidate will have expertise in designing, developing, and maintaining robust data pipelines for healthcare data including prescriptions, medical claims,patient demographics, and FHIR data. This role will primarily focus on utilizing Databricks with Spark, Python, Scala, and SQL for building and optimizing data pipelines, as well as performing data engineering for machine learning and AI output. While healthcare data knowledge is preferred, a strong foundation in data engineering and a willingness to learn about healthcare data is essential.

What You Need To Succeed

• 5+ years Data Engineering experience
• 3+ years hands-on experience working with large, structured/unstructured datasets using partitioned cloud storage architecture using query engines such as Spark, Delta Lake.
• 3+ years experience designing, developing, deploying and testing in Databricks.
• 3+ years of hands-on experience in Python/Pyspark/SparkSQL.
• 3+ years of experience with Scala programming language
• 2+ years experience on Big data pipelines/DAG tools like Airflow and dbt
• 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data.
• Experience in the AWS computing environment and storage services such as s3/glacier is required.
• Experience with conceptual, logical and/or physical database designs is required.
• Good knowledge in Linux and shell scripting is highly desired.
• Experience with Data Visualization tools like Looker, Tableau is desired.
• Strong communication skills to relay complex data integration requirements to team members.
  
  

Bonus Skills

• Experience with healthcare data is a plus, but not required; willingness to learn about healthcare data and domain knowledge is essential.
• Experience with FHIR data
• Experience working in an Agile development environment is preferred.
• Familiarity with machine learning concepts and tools is a plus.
  
  

What You Will Do

• Deliver a world-class data platform from the ground up
• Designing and developing data engineering solutions.
• Support analytics, data science and data platform teams and understand their unique needs and challenges.
• Design, implement and manage data flows that integrate information from various sources into a common pool implementing data pipelines based on ELT and ETL models.
• Develop datasets and models to meet the requirements of analysts, data scientists and key stakeholders; optimizing query compute and data storage patterns for cost and performance
• Work closely with the other engineering teams to troubleshoot issues with API’s and data exchanges between multiple systems.
  
  

Join Our Team at Datavant Ireland – A Galway-Based R&D Technology Center

Datavant Ireland is an innovative R&D technology center based in Galway, dedicated to solving complex technology challenges with a purpose. We are looking for talented technical professionals who are product-minded and eager to make an impact. If you are passionate about developing cutting-edge solutions and want to be part of a growing team, we invite you to explore the exciting career opportunities at Datavant.

Careers at Datavant offer the opportunity to apply your technology and problem-solving skills toward a vision that every healthcare decision is powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers—people who are ready to move the needle and build on our success.

We provide team members with a robust total compensation package that includes:

• Competitive, equitable salary.
• Comprehensive benefits.
• Pension contribution.
• Flexible, Hybrid work environment.
  
  

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.

The estimated total cash compensation range for this role is:

€70.000—€110.000 EUR

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive.

We are proud to be an Equal Employment Opportunity employer. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need accommodation while seeking employment, please contact us at [email protected].

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