Data Engineer: Cloud Pipelines, AI Tools, Hybrid/Remote

unlockhealth; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, dental, and vision benefits

401(k) with company match

Hybrid and remote schedules

Paid parental leave

FSA/HSA options

Job summary

Unlock Health is seeking a hands-on Data Engineer to build and optimize a modern cloud data platform, delivering analytics-ready datasets for reporting and decision making. The role emphasizes strong SQL, Snowflake/BigQuery experience, Python development, and automation with AI-assisted tooling.

Applicants must reside in the United States and be legally authorized to work in the U.S. The successful candidate will design and maintain production data pipelines, transform data from diverse sources,

Qualifications

• 2+ years of hands-on data engineering or analytics engineering experience.
• Strong SQL skills with production data pipelines.
• Hands-on experience with Snowflake and/or BigQuery; able to learn both.
• Python for data processing, automation, and API integrations.
• Familiarity with dbt or similar data transformation tools.
• Experience with AWS and/or Google Cloud environments.
• Understanding of data modeling, ETL/ELT, Git, and data quality practices.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop, maintain, and optimize data pipelines using Snowflake, 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 tools such as Fivetran, Supermetrics, and cloud services for data integration when appropriate.
• Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.

Skills

SQL

Data pipelines

Python

dbt

Snowflake

BigQuery

AWS

Git

Education

Bachelor's degree in a related field

Tools

Snowflake

BigQuery

dbt

Git

Google Cloud Platform

Job description

Unlock Health is seeking a hands-on Data Engineer to build and optimize a modern cloud data platform, delivering analytics-ready datasets for reporting and decision making. The role emphasizes strong SQL, Snowflake/BigQuery experience, Python development, and automation with AI-assisted tooling.

Applicants must reside in the United States and be legally authorized to work in the U.S. The successful candidate will design and maintain production data pipelines, transform data from diverse sources,