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Data Engineer (Cloud Lakehouse / ETL)
Location: Remote or Memphis, TN (Hybrid)
Overview
We are seeking a hands-on Data Engineer to support enterprise data transformation, data movement, and operational data processing initiatives within a modern cloud-based data platform environment.
This role focuses on building, enhancing, and supporting large-scale ETL and data integration processes while ensuring enterprise data remains accurate, highly available, and optimized for performance. The ideal candidate will have strong experience with SQL, ETL/data pipelines, cloud technologies, and production troubleshooting within enterprise environments.
This position supports critical overnight data processing operations and requires flexibility to work an afternoon/evening schedule with occasional extended support hours as needed.
Key Responsibilities
- Support and enhance enterprise ETL and nightly data load processes
- Develop, maintain, and optimize scalable data pipelines and integration workflows
- Ensure enterprise data quality, reliability, availability, and performance
- Contribute to the optimization and operational support of a cloud-based data platform environment
- Troubleshoot and resolve production data processing and pipeline issues
- Work across internal and external systems to extract, transform, and load enterprise data
- Collaborate with business analysts, technical teams, and stakeholders to support data initiatives and enhancements
- Participate in Agile/Scrum ceremonies and collaborate within cross-functional engineering teams
- Contribute to automated testing and continuous improvement initiatives
- Analyze existing systems and recommend improvements related to scalability, maintainability, and performance
- Design, develop, test, debug, document, and support data integration and application solutions
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related technical field
- 3+ years of experience in Data Engineering, ETL Development, or related software engineering roles
- Strong SQL development and query optimization experience
- Hands-on experience with ETL/data integration solutions
- Experience supporting enterprise-scale data processing environments
- Experience troubleshooting production data pipeline and load issues
- Experience working in Agile/Scrum or similar collaborative development environments
- Strong analytical, debugging, and problem-solving skills
- Ability to work independently in a fast-paced operational environment
Preferred Qualifications
- Experience with cloud-based data platforms or Lakehouse architectures
- Experience with technologies such as AWS, Redshift, S3, Lambda, DBT, or related cloud data tools
- Enterprise data warehouse experience
- Experience with SSIS or SSDT
- Experience with data pipeline optimization and performance tuning
- Exposure to CI/CD practices and automated testing
- Experience supporting operational or overnight data processing environments
How to Apply
Qualified candidates are encouraged to submit an updated resume for confidential consideration. We welcome candidates with strong hands-on Data Engineering, ETL, SQL, and cloud data platform experience who are interested in supporting large-scale enterprise data operations.