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.