Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $93k - $141k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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👻 Ghost score 0%

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Definitive Healthcare

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 Private Equity Round on 2019-10

Consulting • Marketing • Logistics

Definitive Healthcare is a provider of healthcare commercial intelligence that transforms data, analytics, and expertise into actionable insights for various stakeholders within the healthcare industry. Through its SaaS platform, Definitive Healthcare assists clients in navigating the complex healthcare market by offering solutions related to go-to-market planning, product development, and sales optimization. The company specializes in healthcare data, market analytics, and custom reporting, catering to a range of clients including biopharma, medical devices, and healthcare providers. Definitive Healthcare has garnered recognition as a top workplace and leader in the Massachusetts business community.

📋 Description

• Build, maintain, test, and support moderate-complexity ETL/ELT pipelines, transformations, and data components using Python, SQL, Spark/PySpark, and related technologies • Own defined pipeline components from implementation through testing, deployment, documentation, and production support • Troubleshoot pipeline failures, data quality issues, and performance problems; identify root causes and implement practical fixes • Contribute to component-level technical designs, estimates, and implementation plans • Apply practices for data modeling, testing, code review, observability, security, source control, CI/CD, and operational support • Monitor pipeline performance and reliability; identify opportunities to improve quality, efficiency, and maintainability • Develop working knowledge of Claims and Consumer data structures, transformations, dependencies, and data quality standards • Collaborate with engineers, QA, analysts, Product, Support, and data consumers to clarify requirements, resolve issues, and deliver reliable data changes • Assess downstream impacts of data and schema changes and support vendor-delivered data sources and customer issues • Participate in code reviews, pairing, sprint activities, technical discussions, documentation, and knowledge sharing • Support peers and less-experienced engineers through knowledge sharing and constructive review feedback • Use approved AI-assisted development tools responsibly to improve productivity, documentation, test coverage, and code quality

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience • 2+ years of Data Engineering, Software Engineering, or related experience building and supporting production data solutions • Proficiency in Python and SQL, with hands-on experience developing and maintaining production data pipelines • Experience with Apache Spark/PySpark or equivalent distributed data processing technologies • Experience with cloud platforms such as AWS, Azure, or GCP • Experience with modern data platforms such as Databricks, Snowflake, Delta Lake, or equivalent technologies • Experience with workflow orchestration technologies such as Airflow, Argo, or equivalent platforms • Working knowledge of relational databases, data modeling, testing, code review, observability, source control, CI/CD, and production support practices • Ability to own defined technical work, troubleshoot issues, collaborate effectively, and communicate progress, risks, and blockers • Preferred: healthcare data experience, including claims, pharmacy, eligibility, consumer, provider, or reference data • Preferred: experience processing large datasets using lakehouse or medallion architecture patterns • Preferred: experience deploying, operating, or supporting Spark workloads in Kubernetes or similar containerized environments • Preferred: experience supporting enterprise data products, analytics platforms, or business-critical data services in regulated environments • Preferred: experience onboarding or supporting vendor-delivered datasets and evaluating schema or downstream consumer impacts • Preferred: experience using AI-assisted engineering tools to improve development productivity, testing, documentation, and code quality

🏖️ Benefits

• Company bonus or commission plan eligibility, depending on position • Medical coverage • Dental coverage • Vision coverage • Unlimited paid time off • 401(k) plan with employer contribution • Industry leading products • Flexible and dynamic culture • Definitive Cares community service group • Competitive benefits package • 401(k) match