Senior Data Engineer - Remote

Kforce Inc; Birmingham (AL); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision

HSA

FSA

401(k)

Life & Disability insurance

Paid time off

Job summary

Kforce Inc. is seeking a Remote Data Engineer to design, build, test, and support enterprise data ingestion pipelines. This senior role requires independent work, comfort with ambiguity, and ownership from source analysis through production support.

The ideal candidate has strong experience with Kafka, AWS (including Lambda), Python, and Snowflake, and can collaborate with both technical and non-technical stakeholders to deliver scalable data solutions.

Qualifications

• Strong software development and data engineering fundamentals.
• Experience designing and developing data ingestion pipelines.
• Experience with AWS Lambda and Snowflake.
• Kafka experience is required.
• Knowledge of data modeling, schemas and source-to-target mappings.
• Ability to work independently with minimal supervision and handle ambiguity.
• Strong communication with technical and business stakeholders.

Responsibilities

• Design, develop, test, and maintain data ingestion pipelines from multiple sources.
• Analyze source systems, schemas, and DDL to map source-to-target data.
• Build ingestion solutions for Kafka, relational databases, mainframe, and flat files.
• Implement data pipelines in AWS and Snowflake environments.
• Perform QA/QC, including data validation and testing across the lifecycle.
• Develop data integration processes using enterprise ETL/replication tools.
• Collaborate with business users, technical teams, and leadership to gather requirements.
• Follow Git, CI/CD, and collaborative development practices.
• Support data initiatives related to AI and analytics; troubleshoot pipelines.

Skills

Kafka

AWS (Lambda)

Python

Snowflake

Data pipelines

Git

CI/CD

Data modeling

Stakeholder collaboration

Tools

Qlik Replicate

Snowflake

Job description

Responsibilities

Kforce's client is seeking a Remote Data Engineer to design, build, test, and support enterprise data ingestion pipelines. This is a senior-level opportunity for someone who can work independently, operate comfortably with some ambiguity, and take ownership of data engineering work from source analysis through production support. The ideal candidate will have strong experience with data ingestion, enterprise ETL/data integration, Kafka, AWS, Python, and Snowflake, along with the ability to collaborate effectively with both technical and non-technical stakeholders.

• Design, develop, test, and maintain data ingestion pipelines from a variety of source systems
• Analyze source systems, schemas, and DDL to develop accurate and scalable source-to-target mappings
• Build ingestion solutions for technologies including Kafka, relational databases, mainframe systems, and flat files
• Implement data pipelines that replicate and integrate data into AWS and Snowflake environments
• Perform QA/QC throughout the development lifecycle, including source-to-target data validation and testing
• Develop and maintain data integration processes using enterprise ETL and replication tools
• Work with business users, technical teams, and leadership to gather requirements and translate them into effective data solutions
• Follow established Git, CI/CD, and collaborative development practices
• Support data initiatives that contribute to downstream AI, analytics, and strategic data projects
• Troubleshoot and support data pipelines while ensuring data quality, reliability, and integrity

Requirements

• Strong software development and data engineering fundamentals
• Experience designing and developing data ingestion pipelines
• Strong understanding of data integration and enterprise ETL tools
• Kafka experience is required
• Hands-on experience with AWS, particularly AWS Lambda
• Strong Python development experience, including Python frameworks used for data engineering
• Experience with Snowflake, including stored procedures and user-defined functions
• Experience with Qlik Replicate or a comparable data replication/integration platform
• Experience with Git and CI/CD pipelines
• Strong understanding of data modeling, schemas, DDL, and source-to-target mappings
• Ability to work independently with minimal supervision and navigate ambiguous requirements
• Strong communication skills and the ability to work effectively with technical teams, business users, and leadership

Preferred Qualifications

• Additional experience with AWS services such as S3
• Experience working with data from mainframe systems and flat files
• Experience supporting data engineering initiatives related to AI and advanced analytics
• Experience in large, complex enterprise environments

Technical Environment

• AWS: Lambda, S3
• Data Platform: Snowflake
• Data Integration: Qlik Replicate or comparable enterprise ETL/replication tools
• Development: Python, Git, CI/CD
• Data Sources: Kafka, relational databases, mainframe flat files

What We're Looking For:

The ideal candidate is a hands-on senior data engineer who understands how to build and test ingestion pipelines end to end. Qlik Replicate is required, although strong experience with a comparable ETL or data replication tool may be considered, as the manager believes transferable experience can translate quickly to the Qlik platform.

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.

• medical/dental/vision insurance
• HSA
• FSA
• 401(k)
• 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.