DATA / AI ENGINEER

LOCATION: Pittsburgh, PA

START DATE: TBD

EMPLOYMENT TYPE: Full-time

STARTING SALARY: Negotiable

REQUIRED EDUCATION: Bachelors Degree or Equivalent Experience

REQUIRED EXPERIENCE: Open

RELATED CATEGORIES: Computer Science, Information Science, Web Development, Machine Learning, AI, Predictive Models, Programming

DESCRIPTION/RESPONSIBILITIES

ZAP Solutions is seeking a junior to mid-level Data Engineer / AI Engineer to join our growing team. This position is ideal for someone with minimal professional experience but a strong foundation in data concepts and a passion for AI. You’ll have the opportunity to learn and grow while contributing to our data and AI solutions.

Responsibilities:

Assist in building, maintaining and optimizing data pipelines that process and transform raw data into usable “analysis/AI-ready” formats

Support the implementation and maintenance of machine learning models and AI workflows

Collaborate with sales, account management, software engineers, data engineers, etc. on AI/ML projects

Document data architecture, pipelines, and processes; assist with “scale out” of AI processes

Monitor system performance and troubleshoot issues as they arise

REQUIRED SKILLS

Requirements:

1-3 years of closely related experience

Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent practical experience)

Basic understanding of machine learning concepts

Basic programming skills in Python (pandas, list comprehension, etc. as well as ML packages)

Familiarity with SQL and database concepts, including feature engineering

Exposure to cloud platforms (AWS-preferred, Azure, or GCP)

Soft skills:

Ability to communicate with technical and non-technical collaborators

Project management experience: but also flexibility and composure in the face of quickly changing priorities

Very detail oriented, accurate, and thorough

“Pragmatic excellence” – the ability to deliver high quality work within realistic constraints while avoiding the extremes of rushed, sloppy work or perfectionist delays

Preferred Qualifications:

Experience with big data and distributed processing technologies (Spark, Databricks, Snowflake)

Exposure to CI/CD practices and version control (Git), including MLFlow

What we Offer:

Mentorship from experienced data scientist

Structured learning path and professional development opportunities

Hands-on experience with real-world data and AI challenges

Collaborative and innovative work environment

Competitive salary and benefits

We value enthusiasm, curiosity, and a willingness to learn over extensive experience. If you’re passionate about data and AI and eager to grow your skills in a supportive environment, we encourage you to apply.

Unfortunately, we cannot offer sponsorship; employee candidates must be eligible to work in the US.