Data Engineer

🔥 13 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $93k - $141k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • 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 maintainable fixes • Contribute to 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, surface risks and blockers, and improve quality, efficiency, and maintainability • Develop working knowledge of Claims and Consumer data structures, transformations, dependencies, and quality standards • Collaborate with engineers, QA, analysts, Product, Support, and data consumers • 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 less-experienced engineers through knowledge sharing and constructive review feedback • Use approved AI-assisted development tools responsibly

🎯 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 • Hands-on experience developing and maintaining production data pipelines • Experience with Apache Spark/PySpark or equivalent distributed data processing technologies • Experience with AWS, Azure, or GCP • Experience with Databricks, Snowflake, Delta Lake, or equivalent technologies • Experience with workflow orchestration technologies such as Airflow or Argo • Working knowledge of relational databases, data modeling, testing, code review, observability, source control, CI/CD, and production support practices • Ability to own technical work, troubleshoot issues, collaborate effectively, and communicate progress, risks, and blockers • Healthcare data experience, including claims, pharmacy, eligibility, consumer, provider, or reference data (preferred) • Experience with lakehouse or medallion architecture patterns (preferred) • Experience supporting Spark workloads in Kubernetes or similar environments (preferred) • Experience supporting enterprise data products or regulated data services (preferred) • Experience onboarding vendor-delivered datasets and evaluating schema or downstream impacts (preferred) • Experience using AI-assisted engineering tools (preferred)

🏖️ Benefits

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