Remote opportunity at
Definitive HealthcareData Engineer
Definitive Healthcare is seeking a Data Engineer to join their remote team on a full-time basis. The company builds data and analytics platforms that help clients…
Career Tools
About This Role
Definitive Healthcare is seeking a Data Engineer to join their remote team on a full-time basis. The company builds data and analytics platforms that help clients navigate healthcare markets and make informed business decisions. In this role, the successful candidate will design, build, and support production data pipelines and transformations focused on Claims and Consumer data domains. This position is well-suited for a practitioner with a background in modern data…
Job Description
Definitive Healthcare is seeking a Data Engineer to join their remote team on a full-time basis. The company builds data and analytics platforms that help clients navigate healthcare markets and make informed business decisions. In this role, the successful candidate will design, build, and support production data pipelines and transformations focused on Claims and Consumer data domains. This position is well-suited for a practitioner with a background in modern data architectures and distributed computing who can independently manage technical workloads while collaborating with cross-functional teams including engineering, product management, and quality assurance. The salary for this position ranges from $93,000 to $141,000 per year, determined by experience and qualifications.
Responsibilities
- Construct, test, and maintain moderate-complexity ETL and ELT data pipelines using Python, SQL, and Spark
- Own assigned pipeline components through testing, deployment, documentation, and ongoing production support
- Identify and resolve pipeline failures, performance bottlenecks, and data quality defects
- Contribute to component designs and implementation plans in adherence to engineering standards
- Apply best practices in data modeling, automated testing, code review, observability, and CI/CD
- Monitor operational reliability and surface early warnings regarding risks or blockers
- Partner with domain experts, analysts, and stakeholders to understand requirements and evaluate downstream schema impacts
- Participate in sprint activities, code reviews, technical discussions, and team knowledge sharing
- Utilize approved AI-assisted tools responsibly to enhance productivity and code quality
Requirements
- Bachelor degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- At least two years of professional experience in data engineering or software engineering building production data solutions
- Strong proficiency in Python and SQL
- Hands-on experience with Apache Spark or PySpark
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Experience using modern data platforms like Databricks, Snowflake, or Delta Lake
- Familiarity with workflow orchestration tools such as Airflow or Argo
- Working knowledge of relational databases, data modeling, CI/CD, and version control systems
Qualifications
- Previous experience working with healthcare datasets including claims, pharmacy, eligibility, consumer, or provider data
- Experience handling large datasets via lakehouse or medallion architecture patterns
- Background operating Spark workloads inside containerized environments like Kubernetes
- Experience supporting business-critical data services within regulated environments
- Familiarity with onboarding vendor-delivered datasets and analyzing schema adjustments
- Experience incorporating AI-assisted engineering tools into development workflows
Core Skills
Benefits
- Base salary ranging from $93,000 to $141,000 per year
- Eligibility to participate in a company bonus or commission plan
- Comprehensive health benefits including medical, dental, and vision coverage
- Unlimited paid time off
- Participation in a 401(k) plan featuring an employer contribution
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Data Engineer position?
The base salary range is $93,000 to $141,000 per year, with final compensation depending on relevant skills and experience. Additional bonus or commission participation may also apply.
What are the core technology requirements for this role?
Candidates must have professional experience using Python, SQL, and Apache Spark or PySpark, alongside familiarity with cloud platforms and workflow orchestration tools like Airflow or Argo.
What benefits are provided to employees?
All employees receive medical, dental, and vision coverage, unlimited paid time off, and 401(k) plan participation with employer contributions.
Is this a remote position?
Yes, this position is listed as a remote role.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.