Data Engineer - Snowflake Pipelines & Modernization

Curate Partners; Massachusetts; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Curate Partners is seeking a Data Engineer to build and optimize enterprise data pipelines in a hybrid model with onsite three days a week in the Boston area. You will work closely with data engineering, analytics, product, and business teams to deliver scalable data solutions and modernization efforts.

The ideal candidate has 2–4 years of data engineering or related experience, strong SQL, Snowflake, and Python basics, plus knowledge of data quality, orchestration, and monitoring.

Qualifications

• Bachelor’s degree in CS/IS/Engineering or related field.
• 2–4 years in data engineering or related tech discipline.
• Strong SQL and Snowflake experience; Python for data processing.

Responsibilities

• Build, maintain, and enhance data pipelines for analytics and enterprise data products.
• Develop and optimize SQL-based processes for data extraction, transformation, validation, and delivery.
• Implement data quality controls, monitoring, and validation routines for reliable data availability.
• Support pipeline automation, job scheduling, and troubleshooting across data environments.
• Collaborate with engineering, analytics, product, and business stakeholders to deliver scalable data solutions.
• Assist with data warehouse modernization and migration initiatives.
• Document data assets, metadata, pipeline workflows, and technical processes.

Skills

SQL

Python

Data analysis

Agile methodologies

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related quantitative field

Tools

Snowflake

Git

Airflow

Job description

Curate Partners is seeking a Data Engineer to build and optimize enterprise data pipelines in a hybrid model with onsite three days a week in the Boston area. You will work closely with data engineering, analytics, product, and business teams to deliver scalable data solutions and modernization efforts.

The ideal candidate has 2–4 years of data engineering or related experience, strong SQL, Snowflake, and Python basics, plus knowledge of data quality, orchestration, and monitoring.