Senior Data Engineer

KeLe

Data Engineer responsible for developing and modifying data solutions at Kele Inc. Collaborating with teams to enhance data-driven decision-making throughout the organization.

Posted 7/28/2026full-timeRemote • Tennessee • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data architectures, databases, and datasets while ensuring data quality and dependability. Proficient in collaborating with analytics teams and managing data infrastructure to enhance performance and facilitate data migrations.

Highest-signal resume keywords

Data Architecture DevelopmentDatabase ManagementData Quality ImprovementAzure SQLAzure Data Factory

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureDatabase DevelopmentData IntegrationData MigrationStored Procedures EnhancementData Transfer TroubleshootingData Warehouse MaintenanceData GovernanceData Dependability StrategiesPerformance Optimization

Soft Skills

CollaborationCommunicationStakeholder Engagement

Tools & Technologies

JiraAzure SQLAzure Data Factory

Industry Keywords

Data InfrastructureData QualityData EfficiencyData Governance Processes

Tech Stack

Tools & technologies

AzureSQL

About the role

Key responsibilities & impact

Collaborate with the Analytics team and business partners to understand and define data requirements
Develop, construct, test, and maintain data architectures, databases, and datasets
Facilitate a communication channel between stakeholders and internal resources
Create databases by integrating various data sources
Enhance performance and stability of existing data sources
Identify strategies for improving data dependability and quality
Manage data infrastructure with IT team
Troubleshoot and enhance data transfer mechanics
Maintain data warehouse environments
Enable and run data migrations
Enhance stored procedures and related tasks

Requirements

What you’ll need

Collaborate with the Analytics team and business partners to understand and define data requirements
Develop, construct, test, and maintain data architectures, databases, and datasets
Facilitate a communication channel between stakeholders and internal resources
Create databases by integrating various data sources
Enhance performance and stability of existing data sources
Identify strategies to improve data dependability, efficiency, quality, and governance processes
Work with the IT team to manage data infrastructure
Troubleshoot, maintain, and enhance data transfer mechanics
Maintain data warehouse environments
Enable and run data migrations across different databases and servers
Enhance stored procedures, replication, and nightly jobs
Document and track work in Jira
Utilize Azure SQL and Azure Data Factory solutions to develop pipelines

Benefits

Comp & perks

Medical, vision, and dental insurance
HSA FSA (medical and dependent care)
401(k) with employer match up to 4% with immediate vesting
Employer-paid short- and long-term disability coverage
Employer-paid basic life and AD&D insurance; supplemental life for employees and dependents available
Paid time off and paid holidays
Tuition reimbursement