Senior Data Engineer (Machine Learning Enablement)

job summary:

We are seeking a Senior Data Engineer with machine learning capabilities to build the data foundation behind our ML models. You will lead the design of scalable, well-governed data platforms, primarily on Azure, bringing external retail and third-party data into a medallion architecture. Working closely with Data Science and ML teams, you will set the technical direction for how data is prepared, transformed, and delivered across the organization.

location: Atlanta, Georgia
job type: Contract
salary: $90 - 100 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:

• Design, build, and optimize scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, Functions, and Synapse.
• Profile and onboard external third-party/retail datasets into a medallion architecture (bronze, silver, gold) aligned with master dimension tables.
• Execute large-scale data migrations and refactor complex semi-structured source data (e.g., XML) into analysis-ready structures.
• Establish enterprise-wide data governance frameworks, quality controls, and feature-ready models to support recurring business cycles.
• Partner with Data Science teams to productionize ML models while enforcing Git code review and documentation standards.

qualifications:

REQUIRED QUALIFICATIONS

Minimum 7 years of data engineering experience with lead or architect-level ownership of production platforms.

Hands-on proficiency across the Azure cloud stack: Data Factory, Databricks, Functions, and Synapse.

Strong Python and SQL skills, including practical application of PySpark or pandas for large-scale data transformation.

Solid experience with medallion architecture, dimensional modeling, and master data management joins.

Ability to travel occasionally to the Midtown Atlanta, GA client site.

Bachelor's Degree in Computer Science, Engineering, or a related technical field.

PREFERRED QUALIFICATIONS

Experience with AWS or Google Cloud Platform platforms.

Salesforce integration experience (data sync, APIs, or migrations).

Background in CPG or retail datasets (POS, syndicated data).

Experience developing ML feature pipelines and supporting model deployment.

skills:

AWS,APIs,Azure Data Factory,Azure data,Synapse,large-scale data,data preparation,master data,data pipelines,data sync,Azure Databricks,Databricks,dimensional modeling,enterprise data platforms,ETL,GitHub,Data Engineering,machine learning,ML models,Azure,Azure Cloud,Multi-Cloud,production data,pandas,PySpark,Python & SQL,Salesforce integration,Azure Functions,version control,technical data,communication skills,architecture,Architecture & Modeling,business cycles,Consumer goods,CRM,Data Science,ecosystems,governance frameworks,quality controls,retail,retailer,technical leadership,technical direction,clear documentation

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
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.