Remote opportunity at
Definitive HealthcareData Engineer
Definitive Healthcare is seeking a Data Engineer to construct, maintain, and support robust data pipelines and transformations that fuel critical healthcare data offerings and client-facing applications.…
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About This Role
Definitive Healthcare is seeking a Data Engineer to construct, maintain, and support robust data pipelines and transformations that fuel critical healthcare data offerings and client-facing applications. The employer delivers data, analytics, and market intelligence to help customers navigate the healthcare sector. Headquartered near Boston, Massachusetts, the firm operates across North America, Europe, and India, serving a growing customer base. In this role, the successful candidate will manage defined pipeline elements…
Job Description
Definitive Healthcare is seeking a Data Engineer to construct, maintain, and support robust data pipelines and transformations that fuel critical healthcare data offerings and client-facing applications. The employer delivers data, analytics, and market intelligence to help customers navigate the healthcare sector. Headquartered near Boston, Massachusetts, the firm operates across North America, Europe, and India, serving a growing customer base.
In this role, the successful candidate will manage defined pipeline elements from deployment through production support, resolve technical issues, and partner with cross-functional teams including product management, engineering, and quality assurance. This position focuses specifically on the Consumer and Claims data domains, requiring practitioners to handle schema modifications, optimize performance, and ensure consistent data reliability. Ideal candidates bring hands-on expertise in distributed data processing, workflow orchestration, and modern cloud platforms.
Definitive Healthcare operates with a collaborative culture and provides a comprehensive total rewards offering. The company has earned recognition as a top workplace across multiple regions and actively supports employee connection through affinity groups and community service programs.
Responsibilities
- Build, test, and support ETL and ELT pipelines using Python, SQL, and Spark technologies
- Own assigned data pipeline components through deployment, documentation, and production operations
- Investigate pipeline errors, performance bottlenecks, and data quality defects to implement lasting solutions
- Contribute to technical designs and implementation plans in alignment with established architectural standards
- Apply practices related to data modeling, code review, observability, testing, and continuous integration
- Partner with domain experts, analysts, product managers, and support teams to clarify specs and resolve issues
- Evaluate downstream effects resulting from schema or data alterations
Requirements
- Bachelor degree in Computer Science, Information Systems, Engineering, or equivalent practical background
- Minimum of two years of software or data engineering experience creating and supporting production data solutions
- Demonstrated proficiency in Python and SQL for building data pipelines
- Hands-on practice utilizing Apache Spark or PySpark for distributed data processing
- Experience working with cloud environments such as AWS, Azure, or GCP alongside modern data tools like Snowflake, Databricks, or Delta Lake
- Familiarity with workflow orchestration tools including Airflow or Argo
- Working knowledge of relational databases, testing methodologies, CI/CD, and version control
Qualifications
- Prior exposure to healthcare data encompassing claims, pharmacy, provider, eligibility, or reference data
- Familiarity with lakehouse or medallion architecture patterns for large dataset processing
- Experience operating Spark workloads inside containerized environments like Kubernetes
- Background supporting business-critical data services within regulated industries
- Experience integrating vendor-supplied datasets and assessing downstream schema impacts
- Familiarity using AI-assisted engineering tools to boost documentation, testing, and productivity
Core Skills
Benefits
- Annual base salary ranging from USD 93,000 to 141,000
- Eligibility to participate in a company bonus or commission plan depending on the role
- Comprehensive medical, dental, and vision insurance coverage
- Unlimited paid time off
- Participation in the employer-matched 401(k) plan
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this role is listed as a remote position.
What is the salary range for the Data Engineer role?
The annual base salary ranges from USD 93,000 to 141,000, with actual pay determined by qualifications and experience. Additional bonus or commission participation may apply depending on the position.
What experience is required to apply?
Applicants need a bachelor degree in a related technical field or equivalent practical experience, along with at least two years of software or data engineering background focused on production data solutions.
What benefits are provided?
Employees receive medical, dental, and vision coverage, unlimited paid time off, and access to a 401(k) plan with an employer match.
Sample Interview Questions
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