Data Engineer

🕒 6 days ago

🌽 Illinois, New York, +1 more states – Remote

infoinfo

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

Where this job comes from

Posted on Unlock Health's careers page, not through a job board

First seen by Remote Rocketship 6 days ago

Still open on Unlock Health's site. Checked 3 hours ago.

Logo of Unlock Health

Unlock Health

51 - 200 employees

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

Unlock Health is a full-service agency dedicated to driving sustainable growth for healthcare organizations. By integrating marketing, technology, and revenue strategy, Unlock Health helps connect consumers with care, enhancing lives and supporting healthcare organizations in their growth goals. The company specializes in managed care consulting, media and advertising strategy and planning, digital marketing, and brand consulting. Unlock Health is recognized for its creative and data-driven approach, offering advanced analytics and a technology platform to guide healthcare marketing initiatives and optimize payor strategies. The agency has built partnerships with leading health systems, behavioral health providers, and specialty care organizations, earning accolades such as the Modern Healthcare Best in Business award for Marketing and Public Relations.

📋 Description

• Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python • Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources • Build reusable data models and transformation workflows using SQL, dbt, and established engineering practices • Implement data validation, quality checks, monitoring, and troubleshooting for reliable delivery • Automate manual processes and improve pipeline performance, scalability, and maintainability • Use Fivetran, Supermetrics, and cloud services for data integration when appropriate • Use ChatGPT, Claude, or similar AI tools for development, debugging, testing, and documentation, validating outputs for accuracy and security • Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets • Deliver reliable, automated, and well-documented data pipelines • Improve data quality, processing efficiency, and platform reliability • Build reusable solutions that reduce manual maintenance • Collaborate effectively with technical and business teams

🎯 Requirements

• Applicants must reside in the United States • Must be legally authorized to work in the United States • 2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role • Strong SQL skills and experience developing and supporting production data pipelines • Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms • Working knowledge of Python for data processing, automation, and API integrations • Familiarity with dbt or similar data transformation frameworks • Experience with AWS and/or Google Cloud environments • Understanding of data modeling, ETL/ELT, Git, and data quality practices • Strong analytical, troubleshooting, communication, and problem-solving skills • Bachelor’s degree in a related field or equivalent practical experience

🏖️ Benefits

• Health, dental, and vision benefit packages • Company-paid life insurance • Company-paid short-term disability insurance • Company-paid long-term disability insurance • FSA/HSA options • 401(k) with company match • Flexible paid time off • Paid parental leave • Hybrid and remote schedules • Employee assistance program • Referral programs

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