Senior Data Engineer — Data Warehousing, ETL & Azure

KELE; Memphis (TN); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

HSA

FSA

401(k) with employer match up to 4%

Disability insurance

Life and AD&D insurance

Paid time off

Tuition reimbursement

Job summary

Kele Inc. is seeking a Sr. Data Engineer in Memphis, TN to design and deliver data solutions that power analytics, reporting, and decision making.

You will collaborate with cross-functional teams to understand data requirements, build data warehouses, and maintain data pipelines across on-prem and cloud environments. The role emphasizes governance, reliability, and scalable data infrastructure. Candidates should have strong SQL, Azure, and ETL experience, with a drive to optimize data workflows

Qualifications

• Experience designing and maintaining data architectures and warehouses.
• Strong SQL and query performance tuning skills.
• Experience with ETL/ELT pipelines and data integration.
• Familiarity with Azure SQL and Azure Data Factory.
• Ability to collaborate with analytics and IT teams.

Responsibilities

• Collaborate with Analytics and business partners to define data requirements and enable BI/reporting.
• Develop, test, and maintain data architectures, databases, and datasets for modeling.
• Create data pipelines and migrations across on-premises and cloud environments.
• Enhance performance and reliability of data sources and pipelines.
• Document work and track tasks in Jira, align with CI/CD processes.

Skills

Data modeling

ETL pipelines

Azure SQL

Azure Data Factory

SQL databases

Data governance

Tools

Jira

Job description

Kele Inc. is seeking a Sr. Data Engineer in Memphis, TN to design and deliver data solutions that power analytics, reporting, and decision making.

You will collaborate with cross-functional teams to understand data requirements, build data warehouses, and maintain data pipelines across on-prem and cloud environments. The role emphasizes governance, reliability, and scalable data infrastructure. Candidates should have strong SQL, Azure, and ETL experience, with a drive to optimize data workflows