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Empower

Personalized financial guidance, savings, investing platform

Lead Data Engineer

Data EngineeringUpdated on Nov 9
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field, or an 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, and strong hands-on Python skills.
  • Strong experience with AWS and modern data platforms; hands-on Snowflake engineering experience is required.
  • Deep understanding of data modeling, ETL/ELT processes, and data warehousing, including dimensional modeling and reusable business-facing datasets.
  • Demonstrated hands-on production support, persistence in resolving issues, and experience making safe changes to unfamiliar or complex existing code.
  • Experience leading technical initiatives and mentoring engineers.
  • Experience working in Agile environments.
  • Applicants must be authorized to work for any employer in the U.S.

Responsibilities

  • Lead the design and implementation of advanced data pipelines and ingestion frameworks; personally develop, test, and maintain the underlying SQL, Python, and ETL code.
  • Guide technical execution of complex data initiatives across teams, balance current production commitments with incremental modernization, and assess which processes to retain, migrate, redesign, or retire.
  • Support and troubleshoot SAS Viya and SQL-based production workflows; trace job failures and data discrepancies to root cause, implement safe corrections, validate outputs, and improve monitoring and recovery.
  • Translate complex business requirements into scalable data solutions; work with subject-matter experts to clarify business definitions and reconcile outputs into consistent, reusable datasets.
  • Ensure data platforms are optimized for performance, scalability, and reliability, including consideration of Snowflake query performance and compute cost.
  • Enforce data governance, security, and quality standards.
  • Mentor engineers and provide technical leadership on projects; share knowledge, document processes, and build backup ownership across the team.
  • Lead code reviews and ensure adherence to engineering standards; use version control, automated testing, and CI/CD practices to support safe releases.
  • Collaborate with architects and stakeholders to align solutions with enterprise direction, and communicate technical decisions and production issues clearly to technical and nontechnical partners in a matrixed environment.
  • Drive improvements in automation, efficiency, and platform capabilities.
  • Support architectural discussions and contribute to design decisions; help design Snowflake transformations, dimensional models, and shared analytics-ready data structures.
  • Validate migrations through reconciliation, parallel runs, and rollback planning before retiring established workflows.
  • Complete other duties as assigned.

Desired Qualifications

  • SAS/SAS Viya experience is strongly preferred. Candidates with strong SQL, procedural programming, and enterprise ETL experience must be willing and able to learn and support SAS-based workflows.
  • PySpark experience is preferred.
  • Experience preparing governed data for advanced analytics or machine learning is a plus.
  • Strong problem-solving and communication skills, including the ability to explain complex technical matters clearly, listen to business users, and collaborate constructively across teams.

About the Company

Empower

Personalized financial guidance, savings, investing platform

Empower is a financial services provider focused on helping people save, invest and receive advice. It serves both organizations and individuals, offering tools, guidance and support to reach financial goals. Its products work by giving users access to personalized financial advice and resources, combining advisory support with digital tools to manage accounts and investments. The company differentiates itself through its large, diverse client base (over 71,000 organizations and 17 million individuals) and its emphasis on trust, integrity and personalized guidance, aiming to deliver financial well-being at scale. Its goal is to empower financial freedom for all by delivering clear advice, tailored guidance and essential support throughout the financial journey.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Flower Mound, TX
Founded
2014

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