Lead Engineer, Data

Empower

. Lead the design and implementation of advanced data pipelines and ingestion frameworks .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $125,400 - $181,875 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in SQL and Python for developing and maintaining data pipelines, with a strong focus on data governance, quality standards, and performance optimization in enterprise-scale environments. Capable of leading technical initiatives, mentoring engineers, and translating complex business requirements into scalable data solutions.

Highest-signal resume keywords

Advanced SQL ProficiencyPython Development SkillsSnowflake Engineering ExperienceData Modeling ExpertiseTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLData WarehousingDimensional ModelingData GovernanceData Quality StandardsSAS ViyaPySparkAWS

Soft Skills

Problem-SolvingCommunicationMentoringCollaborationAgile Experience

Tools & Technologies

SnowflakeSASCI/CD PracticesAutomated TestingData Platforms

Industry Keywords

Data EngineeringData PipelinesData Ingestion FrameworksProduction SupportComplex Data Initiatives

Tech Stack

Tools & technologies

AWSETLPySparkPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead the design and implementation of advanced data pipelines and ingestion frameworks
Personally develop, test, and maintain SQL, Python, and ETL code
Guide technical execution of complex data initiatives across teams
Assess processes for retention, migration, redesign, or retirement
Support and troubleshoot SAS Viya and SQL-based production workflows
Trace job failures and data discrepancies to root cause, implement corrections, validate outputs, and improve monitoring and recovery
Translate complex business requirements into scalable data solutions
Clarify business definitions and reconcile outputs into consistent, reusable datasets
Optimize data platforms for performance, scalability, and reliability, including Snowflake query performance and compute cost
Enforce data governance, security, and quality standards
Mentor engineers and provide technical leadership
Lead code reviews and ensure engineering standards, version control, automated testing, and CI/CD practices
Collaborate with architects and stakeholders on enterprise-aligned solutions
Drive improvements in automation, efficiency, and platform capabilities
Contribute to Snowflake transformations, dimensional models, and shared analytics-ready data structures
Validate migrations through reconciliation, parallel runs, and rollback planning
Serve as an escalation point for complex data engineering challenges
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
6–8+ years of data engineering experience with enterprise scale platforms
Advanced proficiency in SQL, including query optimization and complex transformations
Strong hands-on Python skills
Strong experience with AWS and modern data platforms
Hands-on Snowflake engineering experience required
Deep understanding of data modeling, ETL/ELT processes, and data warehousing
Experience with dimensional modeling and reusable business-facing datasets
SAS/SAS Viya experience strongly preferred; willingness and ability to learn and support SAS-based workflows
Demonstrated hands-on production support and experience making safe changes to unfamiliar or complex existing code
Experience leading technical initiatives and mentoring engineers
Strong problem-solving and communication skills
Experience working in Agile environments
PySpark experience preferred
Experience preparing governed data for advanced analytics or machine learning is a plus
Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT

Benefits

Comp & perks

Medical, dental, vision and life insurance
401(k) plan with generous company matching contributions (up to 6%)
Financial advisory services
Potential company discretionary contribution
Broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment with the option to wear jeans
Generous paid time off upon hire
Ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Paid parental leave
Paid short- and long-term disability
Family and Medical Leave (FMLA)
Business Resource Groups (BRGs)
Flexible work environment
Other necessary computer equipment provided
Remote/hybrid home-work support with reliable high-speed internet requirements