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Senior Data Engineer

2 months ago

Boston, United States Evolution Recruitment Solutions, USA Full time

Senior Data Engineer - W2 or 1099

Location: Boston - 3 days on-site per week (only looking for local candidates for now)

Contract: Length: 6 months

Rate: $85 - $110 per hour

Need to be a US citizen or GC Holder for this position - No third parties.


We are looking for a Senior Data Engineer with deep expertise in building scalable data solutions, Snowflake, DBT, AWS services, and MLOps. The ideal candidate will have previous experience working with start-ups and a passion for implementing data engineering best practices to support machine learning pipelines.

Key Responsibilities:

  • Design, implement, and maintain scalable data pipelines using Snowflake and AWS services (S3, Redshift, Glue, Lambda, etc.).
  • Collaborate with data scientists and ML engineers to develop and operationalize MLOps pipelines, ensuring efficient deployment and monitoring of machine learning models.
  • Utilize DBT (Data Build Tool) to manage and transform data, ensuring data quality, consistency, and governance.
  • Work with various structured and unstructured datasets to deliver reliable data solutions for real-time analytics and reporting.
  • Collaborate with cross-functional teams to ensure alignment on data architecture and strategy.
  • Continuously improve data pipeline performance, scalability, and reliability.
  • Implement data security best practices, ensuring compliance with company and industry standards.
  • Participate in code reviews, mentoring, and knowledge sharing within the team.

Required Qualifications:

  • 5+ years of experience as a Data Engineer, working with modern data platforms and tools.
  • Hands-on experience with Snowflake for data warehousing and analytics.
  • Strong knowledge and practical experience with DBT for data transformation.
  • Proficiency with AWS services (S3, Redshift, Glue, Lambda, etc.).
  • Experience in MLOps: working knowledge of deploying and monitoring machine learning models in production.
  • Prior experience working with start-ups or in a fast-paced environment.
  • Strong understanding of data warehousing concepts, ETL/ELT processes, and performance optimization.
  • Solid programming skills in Python or similar languages.
  • Excellent communication and problem-solving skills, with a passion for scaling and optimizing data systems.

Preferred Qualifications:

  • Experience with Kubernetes, Docker, and CI/CD pipelines.
  • Familiarity with orchestration tools such as Airflow.
  • Knowledge of data governance and privacy frameworks (GDPR, CCPA, etc.).