Build, optimize, and maintain complex ETL/ELT pipelines across cloud and on-prem environments
Develop and maintain data models supporting analytics, operational reporting, and machine learning workflows
Lead root-cause investigations and implement long-term solutions
Implement data quality monitoring, observability practices, and lineage standards
Lead solution design and architecture within your assigned engineering area
Work with other Team Leads to define and maintain engineering standards and best practices
Review technical designs and perform code reviews to ensure high-quality engineering output
Mentor, coach, and develop Data Engineers across various skill levels
Contribute to sprint planning, backlog refinement, and workstream coordination alongside other Team Leads
Serve as a technical escalation point for engineering challenges
Ensure consistent delivery of scalable, well-documented, production-ready pipelines and data products
Coordinate engineering direction with other Team Leads to maintain a unified strategy
Collaborate with Data Analytics, Data Science, BI, Product, and business stakeholders to define requirements and solution approaches
Communicate timelines, risks, technical challenges, and architectural decisions clearly
Participate in long-term data platform and infrastructure planning

Requirements

Bachelor’s degree in Computer Science, Data Engineering, or related field.
7-10 years of hands-on data engineering experience building complex data systems
Demonstrated success in technical leadership or team leadership roles
Proven ability to deliver production-grade, enterprise-scale data systems
Strong SQL and performance optimization skills for complex queries and scalable solutions.
Ability to select and implement technologies that ensure long-term scalability and reliability.
Clear communication skills to explain technical concepts and align priorities across diverse stakeholders.
Strategic problem-solving to translate ambiguous requirements into actionable engineering plans.
Advanced troubleshooting and diagnostic capabilities for system reliability and performance.
Influence and collaboration across multiple workstreams to drive engineering direction and alignment.

Benefits

Competitive and Transparent Compensation
Visibility into all Associate-level pay ranges within your department
Opportunity for performance-based and profit sharing bonuses
Paid Vacation & Sick Time
Paid Parental leave
Opportunity for Flexible Work Environment and Schedule (varies by department and role)
Community involvement and volunteer opportunities
Health Benefits
Free virtual healthcare services (for Associates enrolled in our medical plans)
Medical options include Employer-funded HSA options
Vision to support your eye health and well-being
100% Employer-paid Dental option available to all Associate
Employee Assistance Program (EAP)
Life & Disability Insurance
100% employer-sponsored options
Voluntary Insurance (Accident, Hospital, Critical Care, etc.)
Retirement Benefits
401(k) - once enrolled, Associates are 100% vested with discretionary Company Match
Roth 401K Option
Financial Wellness webinars
Growth Opportunities
90% Promote from Within
Access to various training for professional development
Individual Development Plan (IDP) (varies by department)
Associate Purchase Discount Program

Applicant Tracking System Keywords

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

Hard Skills & Tools

ETLELTdata modelingSQLperformance optimizationdata quality monitoringobservability practicesdata lineagemachine learning workflowsproduction-grade data systems

Soft Skills

technical leadershipteam leadershipclear communicationstrategic problem-solvinginfluencecollaborationmentoringcoachingroot-cause investigationworkstream coordination

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data Engineering