Associate Data Engineer

ProDriven Global Brands; Pittsburgh (Allegheny County); On-site; USD 75,000 - 140,000; Full time

Job summary

An innovative firm is seeking an Associate Data Engineer to join their dynamic team in Pittsburgh. This role offers the chance to work with cutting-edge data solutions, focusing on building backend data workflows and ETL pipelines. As part of a collaborative environment, you'll gain hands-on experience with enterprise-grade tools while supporting data integrations and automations. The ideal candidate is eager to learn and grow within the data engineering field, contributing to impactful projects and enhancing their technical skills. This is a fantastic opportunity for those looking to launch a rewarding career in data engineering.

Qualifications

• 0-2 years of experience in data or technology-related roles.
• Foundational understanding of databases and data pipelines.

Responsibilities

• Assist in building and maintaining backend data workflows.
• Collaborate with senior engineers to troubleshoot data issues.

Skills

SQL

Python

ETL processes

Data integration

Analytical thinking

Education

Bachelor's degree in Computer Science

Relevant IT field experience

Tools

Snowflake

Matillion

Azure DevOps

Git

Job description

Join to apply for the Associate Data Engineer role at ProDriven Global Brands

Join to apply for the Associate Data Engineer role at ProDriven Global Brands

WHY PRODRIVEN GLOBAL BRANDS? BECAUSE WE ARE THE PROFESSIONAL’S CHOICE! You will find our market leading products and brands on job sites all over the world.

Focusing on end users' needs and delivering exceptional customer experience drives our success. Our entire process—from research to engineering to manufacturing to commercialization—creates products that ensure ease of use, productivity, durability and safety for the end user. On jobsites across the world, ProDriven brands are most preferred.

Overview

The Associate Data Engineer will be in a highly technical role focused on building and supporting backend data solutions, including integrations, automation, and ETL pipelines. This position is ideal for individuals who are curious, eager to learn, and excited to grow within a modern data engineering environment. Working closely with experienced team members, the Associate Data Engineer will gain hands-on experience with enterprise-grade tools and develop a strong foundation in data infrastructure. As business needs evolve, there will be opportunities to expand into new tools, platforms, and responsibilities—supporting a long-term path toward mid- and senior-level engineering roles.

Responsibilities

Key Responsibilities (Essential Job Functions): MUST LIVE IN IL OR PA

• Assist in building and maintaining backend data workflows, including integrations, automations, and ETL pipelines.
• Assist in developing, configuring, and supporting data integrations and ETL processes that connect enterprise systems and enable reliable data movement across platforms
• Support data movement processes by helping to configure and monitor Change Data Capture (CDC) Perform data support tasks including processing, cleaning, validating, and integrating datasets from multiple sources to ensure accuracy, completeness, and consistency
• Collaborate with senior engineers to troubleshoot issues, improve data quality, and ensure performance across data systems
• Participate in documenting system configurations, data flows, and processes to contribute to team knowledge and operational readiness
• Communicate clearly with IT team members, providing timely updates and accurate technical documentation
• Engage in testing environments and sandboxes to explore and gain hands-on experience with enterprise tools and workflows
• Assist in coordinating technical documentation and internal communications related to releases, changes, and data integrations
• Grow from supporting ongoing work and enhancements to contributing to larger, more complex integration or automation projects
• Other duties as assigned
  
  

Qualifications

Experience & Education:

Required:

• Bachelor’s degree in computer science, Software Engineering, Data Analytics Information Systems preferred, or a related IT field, or equivalent combination of relevant education and/or work experience will be considered
• 0–2 years of experience in a data or technology-related role (coursework, internships, or project work are acceptable)
• Foundational understanding of databases, SQL, data pipelines, or ETL processes
• Exposure to working with APIs or data integrations across systems
• Familiarity with at least one programming or scripting language such as Python or C#
• Interest in modern data tools and platforms such as Snowflake, Matillion, Power Automate, or Jitterbit
• Eagerness to learn new technologies and adapt to evolving tools and processes
• General understanding of cloud concepts (e.g., Azure) and collaborative development tools such as Azure DevOps
  
  

Desired:

• Exposure to any of the following tools or platforms:
• Matillion ETL
• Jitterbit
• Fivetran HVR (Change Data Capture)
• Power Automate, Power Apps, SharePoint
• Familiarity with version control systems such as Git for managing code changes and collaborating with development teams
• Familiarity with data formats such as JSON and XML
• Exposure to or interest in learning a programming language such as Python or working within a .NET environment
• Interest in automation, AI, or machine learning concepts
• Desire to pursue technical certifications related to data engineering, cloud platforms, or automation
  
  

Key Competencies:

• Strong analytical thinking with the ability to break down technical problems and spot data patterns
• Highly motivated self-starter who takes initiative and learns through hands-on experimentation
• Clear and concise communicator, capable of collaborating within a technical team and documenting work effectively
• Detail-oriented with a focus on accuracy and quality in technical tasks
• Flexible and adaptable in a fast-paced, evolving technical environment
• Growth mindset with a desire to build a long-term career in data engineering or related fields
  
  

EEO Statement

ProDriven Global Brands is committed to fostering, cultivating, and preserving a culture of diversity, equity and inclusion. ProDriven Global Brands is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants to ProDriven Global Brands are considered for employment without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status or any other protected characteristic. ProDriven Global Brands will not tolerate discrimination or harassment of any kind based on these characteristics.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Industrial Machinery Manufacturing, Manufacturing, and Wholesale Building Materials

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