Sr AI​/ML Data Engineer

Job Description

Location:

Hybrid – minimum 2 days onsite per week. Candidate must be within commutable distance of one of the following hubs:

Mount Laurel, NJ

Wilmington, DE

Jacksonville, FL

Ft. Lauderdale, FL

Lewiston, ME

Portland, ME

Charlotte, NC

Greenville, SC

Boston, MA

Washington/Vienna, VA

New York, NY

• Build, generate, and test analytics and AI enabled components (~60% of the role)
• Support collections call analytics and customer/call center use cases
• Develop business analytics and compliant automations using the organization’s data and AI
• Use Python + PySpark to orchestrate analytics workflows in Azure
• Leverage LLMs and agents instead of hand coding every element
• Participate in exploration, POCs, and solution design as boundaries are defined
• Collaborate with distributed delivery vendors and internal stakeholders
• Progress toward unsupervised ownership of solutions by year end

Job Description:

Insight Global is seeking a Sr Data Engineer for a top financial services client supporting AI/ML driven analytics initiatives within a pure Azure environment. This is a senior, analytics driven engineering role, not a traditional data engineer or model focused AI engineer. The ideal candidate can visualize the end state, design AI and analytics solutions end to end, and execute with strong technical judgment.

The team focuses on collections and call center analytics, building reusable components and automations that leverage the organization’s data and modern AI tooling, including LLMs and agent assisted development. Success in this role is measured by outcomes, decisioning, and the ability to own solutions with increasing autonomy—not by perfect code syntax.

Pay Rate starts at $65/hr

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 10+ years hands on backend/data engineering experience
• Strong Python + PySpark (orchestration with an analytical mindset)
• Strong Azure experience (pure Azure environment)
• 10+ years banking / financial services experience (non negotiable)
• Experience supporting analytics or AI/ML use cases (collections, call analytics, customer analytics strongly preferred)
• Ability to design end to end solutions and work backwards from business outcomes
• Comfortable leveraging LLMs, Copilot, and agent based development to accelerate delivery
• Strong communication skills; able to explain architecture, tradeoffs, and decisions clearly
• AI, Machine Learning, or Data Science certifications
• Experience with collections analytics, call center analytics, or customer data
• Exposure to legacy banking technologies (Oracle, SQL Server, mainframe)
• Experience working largely unsupervised or owning initiatives end to end