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# Data Engineer

- **Company:** ATLANTIC TALENT PARTNERS LLC
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $115,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Databases, Data Files, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Queries, Python (Programming Language), NoSQL, Systems Development Life Cycle, Scala (Programming Language), SQL Databases, Snowflake, Apache Spark, Information Technology, Apache Flink, Integration Frameworks, Data Management, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-boston-ma--0db8ff58-82a0-4745-a389-cc157c9b6ae2

## About the Role

Data Sets, Data Management, Customer Experience, eCommerce, Analysis Skills, Leading Edge Technology, Database Extract Transform and Load (ETL), Data Warehousing, Scalable System Development, Root Cause Analysis, * A minimum of 4 years experience as a Data Engineer.

 * Bachelor's in Computer Science, Engineering, or a related field. Advanced degree preferred but not essential.
 * Proficiency in programming languages including Python, Java, Scala, and experience with data processing frameworks including Apache Spark, and Apache Flink.
 * Experience working with major cloud platforms.
 * Strong SQL skills and experience with relational databases and NoSQL databases.
 * Familiarity with data warehousing concepts and technologies including Snowflake and Redshift is a bonus but not essential.
 * Excellent problem-solving skills and attention to detail, with the ability to work independently and collaboratively in a fast-paced environment.

## Description

* This is a hybrid role, requiring a minimum of 5 days in the Boston office each month. The 5 days can be consecutive or spread out at your choice.
 * Design, build, and maintain scalable data pipelines and ETL processes to ingest, transform, and load data into the data warehouse and other storage systems.
 * Monitor and troubleshoot data pipeline issues, perform root cause analysis, and implement solutions to prevent recurrence.
 * Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and project objectives.
 * Upcoming projects include SQL migration, infrastructure management, and solely Python focused projects.