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# Data Engineer

- **Company:** Pro-Search Inc
- **Location:** Westbrook, ME, United States
- **Experience:** Expert
- **Salary:** $152,526.0 - $166,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, JIRA, Automation of Tests, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Github, Python (Programming Language), Machine Learning, Standard Sql, Snowflake, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** November 8, 2026
- **Apply:** https://www.prosearchmaine.com/jobs/21049-senior-data-engineer-305/

## About the Role

* 7+ years of Data Engineering experience
 * Strong SQL and Python skills
 * Hands-on experience with dbt
 * Experience with Databricks and/or Snowflake
 * Familiarity with CI/CD, GitHub, and automated testing
 * Experience working with Data Science, AI, or Machine Learning teams
 * Strong communication and technical leadership skills

Preferred Qualifications

 * Healthcare, life sciences, or regulated industry experience
 * Experience supporting AI/ML training pipelines
 * Familiarity with medallion architecture and SCD2 modeling
 * Track record of driving engineering improvements and best practices

Technical Stack

Databricks * Snowflake * dbt * SQL * Python * GitHub * Jira * CI/CD * Data Modeling * Data Pipelines * AI/ML Infrastructure

## Description

We're hiring a Senior Data Engineer in Westbrook, Maine for a hybrid opportunity supporting Databricks, Snowflake, dbt, Python, SQL, AI data pipelines, machine learning infrastructure, and cloud data engineering.

ProSearch is partnering with an innovative technology organization seeking a hands-on Senior Data Engineer to build and maintain the data pipelines that power AI model training and next-generation diagnostic products. This role offers significant ownership, direct collaboration with Data Science and Machine Learning teams, and the opportunity to influence engineering standards across the organization.

What You'll Do

 * Design, build, and maintain production data pipelines using Databricks and dbt
 * Develop scalable data workflows leveraging medallion architecture and SCD2 patterns
 * Partner with Data Science and Machine Learning Engineering teams to deliver critical data solutions
 * Support Snowflake integrations, data quality initiatives, monitoring, and alerting
 * Troubleshoot pipeline issues and improve platform reliability and performance
 * Mentor junior engineers and contribute to team best practices for testing, deployment, and documentation