Digital Business Analyst

Overview

Remote
Depends on Experience
Contract - W2

Skills

SQL
Python
Data

Job Details

AI Data Engineer
Contract
Remote (PST Hours Preferred)

About Our Client
We are a Fortune 100 FinTech company with over 30 years of experience across the globe! Our major campus work locations span the United States, Canada, Australia, India, France, Israel, and the United Kingdom. We believe in true innovation and collaboration—from customer-focused experiences to seamless internal partnerships.

Job Description
We are seeking a highly skilled and detail-oriented AI Data Engineer to join our team on a 10-month contract (8/1/2025–5/31/2026). This fully remote position will support the development of AI-powered and conversational experiences through advanced data engineering, analysis, and pipeline architecture.

What you’ll be responsible for

  • Executing data requests from senior data scientists supporting AI initiatives

  • Performing ad hoc data pulls to support opportunity sizing and experimentation

  • Build and maintain data pipelines to support both existing and emerging AI agents.

  • Defining schemas and architecting scalable storage for large conversational datasets

  • Collaborating with cross-functional teams to ensure data accessibility and usability

Typical Day Breakdown

  • 50–60%: Hands-on development in SQL and Python (Databricks environment)

  • 10–20%: Data analysis to drive actionable insights

  • 10–20%: Collaboration with AI science, data engineering, and product teams

Required Experience/Skills

  • Proficiency in SQL and PySpark for large-scale data processing.
  • Strong data visualization and exploration capabilities using tools such as matplotlib, seaborn, pandas, and numpy.
  • Hands-on experience with clickstream data analysis and exploratory data analysis (EDA).
  • Proficient in using Databricks for pipeline development and large-scale computation.
  • Familiarity with business metrics and consumer-facing product analytics (e.g., event/session-level granularity, funnel analysis, engagement metrics).

Nice-to-Haves

  • Experience building ETL pipelines and supporting data infrastructure

  • Dashboarding and visualization using Qlik and Tableau

  • Knowledge or interest in LLMs and their enterprise applications

  • Proven success in integrating user-level data with conversational AI logs

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

Pay & Benefits Summary
Hourly Rate: $80.68 - $84.68/hr. W2 only
- paid holidays 

Apply Now!

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About Catapult Solutions Group