Remote Senior Data Engineer

Kforce Inc; Atlanta (GA); On-site; USD 130,000 - 200,000; Full time

Job summary

Kforce Inc. is seeking a Remote Senior Data Engineer with strong Azure expertise to design scalable, governed data platforms and ingest external datasets into a medallion architecture.

You will collaborate with Data Science and ML teams, defining data requirements and delivering analysis-ready data for modeling. The role requires 7+ years of experience, hands-on Azure skills, and the ability to travel onsite occasionally to Midtown Atlanta, GA.

Qualifications

• Bachelor's degree in a related field.
• Minimum 7 years of experience as a data engineer.
• Experience leading or owning production data platforms.
• Hands-on Azure experience with Data Factory, Databricks, Functions and Synapse.
• Experience establishing data governance and data quality controls.
• Strong Python and SQL skills with PySpark or pandas.
• Proven ability to travel onsite to Midtown Atlanta, GA.

Responsibilities

• Build and govern scalable data platforms primarily on Azure.
• Lead the design of a medallion architecture (bronze, silver, gold).
• Ingest external data sources and ensure quality and governance.
• Develop and tune ETL/ELT pipelines using Azure services.
• Collaborate with Data Science and ML teams to enable modeling workflows.
• Define enterprise-wide data requirements and quality controls.
• Partner with data owners to resolve key joins and data mismatches.

Skills

Python

SQL

Big data

Data modeling

Git/GitHub

Communication

Leadership

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Databricks

Azure Functions

Azure Synapse

Job description

Responsibilities

Kforce has a client that is seeking a Remote Senior Data Engineer. Summary: Our client is looking for a Senior Data Engineer with machine learning skills to build the data foundation behind our ML models. You will lead the design of scalable, well-governed data platforms, primarily on Azure, and bring external retail and third-party data into a medallion architecture (bronze, silver, gold) aligned to our client's product, outlet and customer master data. You will work closely with Data Science and ML teams and set the technical direction for how data is prepared and delivered. Duties:

• Profile each retailer feed or third-party dataset to determine how it is partitioned (daily, weekly, monthly or quarterly) and how it should be loaded
• Identify where the data falls short of model needs and close the gaps through imputation, mapping tables, source blending or requests to the data provider
• Define and validate the join keys to the client's product, outlet and customer dimension tables, and resolve unmatched or duplicate keys with data owners
• Deliver conformed, standardized outputs to the silver layer, so every source looks the same to downstream pipelines
• Build and tune ETL/ELT pipelines with Azure Data Factory, Azure Databricks, Azure Functions or equivalent cloud-native services
• Handle large migrations, including transactional volumes in the tens of terabytes, with minimal or zero downtime
• Design integration layers that consume complex source data, including XML and other semi-structured formats, and turn it into analysis-ready structures
• Define enterprise-wide data requirements and quality controls across multiple lines of business
• Build feature-ready data models that support recurring business cycles such as quarter-end and year-end

Requirements

• Bachelor's degree
• Minimum 7 years of experience
• Significant experience as a data engineer, including lead or architect-level ownership of production data platforms
• Hands-on Azure experience: Data Factory, Databricks, Functions and Synapse
• Experience establishing data governance frameworks and standardized data quality controls
• Experience with large-scale data migration or cloud modernization
• Strong Python and SQL skills, including PySpark or pandas for large-scale transformation
• Practical knowledge of medallion architecture, dimensional modeling and master data joins
• Comfort with Git/GitHub workflows, documentation and code review
• Clear communication with technical and business stakeholders
• Candidate must have the ability to travel onsite occasionally to Midtown Atlanta, GA client site

Preferred

• Experience with AWS or GCP
• Salesforce integration experience (data sync, APIs, or migrations with Salesforce as source or target)
• Experience supporting ML feature pipelines or model product ionization
• Background in consumer goods or retail data, such as POS, syndicated or third-party datasets

What Success Looks Like

• New data sources reach the silver layer on a repeatable, documented process
• Join match rates and data quality are measured, and gaps are resolved or escalated
• Data Science teams can trust and reuse the data without rework

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.