Lead Data Engineer

Empower

Lead Data Engineer providing technical leadership in design and optimization of data pipelines. Collaborating across teams to ensure secure, reliable, and optimized data platforms.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $125,400 - $181,875 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing advanced data pipelines and ingestion frameworks, with a strong focus on data governance, security, and quality standards. Proven ability to mentor engineers and lead technical initiatives while optimizing data platforms for performance and scalability.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced Proficiency In PythonStrong Experience With AWSData Modeling And ETL/ELT ProcessesTechnical Leadership And Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkSQLData ModelingETL ProcessesELT ProcessesData WarehousingData GovernancePerformance OptimizationScalability

Soft Skills

MentoringCollaborationTechnical Leadership

Tools & Technologies

AWSData Platforms

Certifications & Qualifications

Bachelor’s Degree In Computer Science

Industry Keywords

Data PipelinesData Ingestion FrameworksData Quality StandardsAutomationEnterprise Scale Platforms

Tech Stack

Tools & technologies

AWSETLPySparkPythonSQL

About the role

Key responsibilities & impact

Lead the design and implementation of advanced data pipelines and ingestion frameworks.
Guide technical execution of complex data initiatives across teams.
Translate highly complex business requirements into scalable data solutions.
Ensure data platforms are optimized for performance, scalability, and reliability.
Enforce data governance, security, and quality standards.
Mentor engineers and provide technical leadership on projects.
Lead code reviews and ensure adherence to engineering standards.
Collaborate with architects and stakeholders to align solutions with enterprise direction.
Drive improvements in automation, efficiency, and platform capabilities.
Support architectural discussions and contribute to design decisions.
Complete other duties as assigned.

Requirements

What you’ll need

Bachelor’s degree in Computer Science or related field, or equivalent combination of training and experience.
6 to 8+ years of data engineering experience with enterprise scale platforms.
Advanced proficiency in Python, PySpark, and SQL.
Strong experience with AWS and modern data platforms.
Deep understanding of data modeling, ETL/ELT processes, and data warehousing.
Experience leading technical initiatives and mentoring engineers.

Benefits

Comp & perks

Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.