Senior data engineer automation

job summary:
**Must be willing to go onsite 2 days a week in one of these hub locations**

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

Senior AI Data Engineer (Platform & Automation)

About the Role

This is not a traditional data engineering or data science role.

We're looking for someone who can take a loosely defined problem, design a solution, and build scalable AI/data capabilities using modern tools.

This role focuses on building reusable components and platform capabilities that can be used across teams-not one-off solutions.

What You'll Do

~30-40%: Call Analytics

Analyze call center audio

Score and evaluate agent performance

~60-70%: Platform & Build Work

Build reusable AI/data components

Automate data workflows (moving toward unsupervised systems)

Develop solutions that can scale across teams

Work across:

Data platform teams

AI/ML teams

Business stakeholders

How This Role Operates

You'll be given an end goal, not step-by-step instructions

Expected to design solutions and approaches independently

Work is done using tools and AI-assisted development, not heavy manual coding

Environment is greenfield and evolving (mix of POCs and production work)

Required Experience

10+ years in data, backend, or platform engineering

Strong Python (PySpark preferred)

Experience working with data pipelines and AI-related use cases

Experience with cloud platforms (preferably Microsoft Azure)

Experience with data orchestration tools

Ability to design end-to-end solutions, not just execute tasks

Strong analytical thinking and problem-solving skills

Comfortable working in unstructured, evolving environments

Preferred (Not Required)

Experience building reusable/platform-based solutions

Exposure to Amazon Web Services or Google Cloud

Experience in financial services or other regulated environments

Exposure to AI/ML concepts or applications

What Success Looks Like

You can take a vague problem and define a clear solution approach

You propose multiple approaches and tradeoffs

You build solutions that are reused across teams

You work independently with minimal direction

 
 
location: Mount Laurel Township, New Jersey
job type: Contract
salary: $70 - 75 per hour
work hours: 8am to 5pm
education: Masters
 
responsibilities:
About the Role

This is not a traditional data engineering or data science role.

We're looking for someone who can take a loosely defined problem, design a solution, and build scalable AI/data capabilities using modern tools.

This role focuses on building reusable components and platform capabilities that can be used across teams-not one-off solutions.

What You'll Do

~30-40%: Call Analytics

Analyze call center audio

Score and evaluate agent performance

~60-70%: Platform & Build Work

Build reusable AI/data components

Automate data workflows (moving toward unsupervised systems)

Develop solutions that can scale across teams

 
qualifications:
Required Experience

10+ years in data, backend, or platform engineering

Strong Python (PySpark preferred)

Experience working with data pipelines and AI-related use cases

Experience with cloud platforms (preferably Microsoft Azure)

Experience with data orchestration tools

Ability to design end-to-end solutions, not just execute tasks

Strong analytical thinking and problem-solving skills

Comfortable working in unstructured, evolving environments

Preferred (Not Required)

Experience building reusable/platform-based solutions

Exposure to Amazon Web Services or Google Cloud

Experience in financial services or other regulated environments

Exposure to AI/ML concepts or applications


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.