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Job Description

Build and support data pipelines, analytics, and AI-enabled capabilities in a hybrid entry-level role.

Responsibilities

  • Develop and maintain data ingestion and transformation pipelines
  • Write SQL and Python to process, validate, and prepare data
  • Organize data into trusted, reusable datasets for reporting and analytics
  • Assist with data quality checks, issue investigation, and pipeline monitoring
  • Support development and testing of AI and machine learning solutions
  • Work with cloud services and tools for data storage, processing, and model development
  • Document data flows, code, and technical processes
  • Collaborate with data engineers, architects, analysts, and business partners
  • Follow established standards for data security, governance, and software development

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
  • Foundational experience with SQL and Python via coursework, projects, internships, or work experience
  • Understanding of databases, data structures, and basic data processing concepts
  • Interest in cloud data platforms and artificial intelligence
  • Strong problem-solving, communication, and teamwork skills
  • Willingness to learn new tools and technologies

Preferred Qualifications

  • Exposure to a cloud platform such as Google Cloud, AWS, or Azure
  • Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools
  • Experience with Git and basic software development practices
  • Exposure to machine learning concepts or AI tools
  • Familiarity with data quality, metadata, or data governance concepts

Technologies

  • SQL
  • Python
  • Google Cloud
  • AWS
  • Azure
  • Git

Work Mode

  • Hybrid
  • Location: Lowell, MA, United States

Travel

  • Up to 25%

Compensation

  • Pay range: $71,900 to $103,350 per year

Benefits

  • Flexibility that’s real
  • Benefits you can count on
  • Performance-based bonus plan
  • Restricted stock unit awards
  • Employment type: Regular
  • Job ID: DATAE020428

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