Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Data Engineer
Job
Robert Half
Greer, SC (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Description We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.
Responsibilities:
- Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.
- Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.
- Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.
- Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.
- Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.
- Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.
- Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.
- Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities. Requirements
- Hands-on experience building and supporting data pipelines in Snowflake.
- Working knowledge of Apache Kafka for event-driven or streaming data ingestion.
- Experience in data engineering within a cloud-first environment.
- Familiarity with Azure Databricks and its role in broader data platforms.
- Ability to follow engineering best practices across development, testing, and deployment workflows.
- Understanding of data quality, monitoring, and observability concepts in production data systems.
- Comfortable working in an environment with a mix of modern and legacy data processes.
- Exposure to AI-assisted development tools such as Claude or similar coding and documentation assistants.