Pay
In line with similar jobs
$125K–$182K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Greenwood Village, Colorado, United States
Actively hiring, first seen by us 7 days agoBase Salary Range $125,400.00 - $181,875.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.Read the full posting
***Applicants must be authorized to work for any employer in the US We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***
Design and build data pipelines and ingestion frameworks in SQL and Python
Troubleshoot SAS Viya and SQL production workflows to root cause
Design Snowflake transformations and dimensional models
Lead code reviews and enforce engineering standards and CI/CD practices
Validate migrations through reconciliation, parallel runs, and rollback planning
Lead the design and implementation of advanced data pipelines and ingestion frameworks.
Trace job failures and data discrepancies to root cause, implement safe corrections
Help design Snowflake transformations, dimensional models, and shared analytics-ready data structures.
Lead code reviews and ensure adherence to engineering standards.
Validate migrations through reconciliation, parallel runs, and rollback planning before retiring established workflows.
What you will bring: • 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.
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$125K–$182K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Day 7
Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
What you will do: • 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; assess which processes to retain, migrate, redesign, or retire.
• 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.
The Lead Data Engineer provides hands-on technical leadership in the design, development, and optimization of scalable data pipelines, ingestion frameworks, and data platforms. This role leads complex initiatives, ensures alignment with architectural standards, and drives delivery of high-quality, secure, reliable and properly governed data solutions and data platforms aligned with enterprise standards. Operating with significant independence, the Lead Data Engineer guides technical decision-making, mentors engineers, and ensures consistent implementation of best practices across teams. Serves as an escalation point for complex data engineering challenges. The team currently uses SAS Viya and Amazon Redshift for data processing, automation, and reporting and is transitioning toward Snowflake. This role combines direct coding, troubleshooting, and support of existing workflows with participation in Snowflake engineering and design alongside enterprise engineering teams. Production ownership and new development remain core responsibilities as the future environment evolves. What you will do:
• Guide technical execution of complex data initiatives across teams. Balance current production commitments with incremental modernization; 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 highly complex business requirements into scalable data solutions. Work with subject-matter experts to clarify business definitions and reconcile outputs into consistent, reusable datasets.
• Deep understanding of data modeling, ETL/ELT processes, and data warehousing. Experience with dimensional modeling and reusable business-facing datasets. • 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. • Demonstrated hands-on production support, persistence in resolving issues, and experience making safe changes to unfamiliar or complex existing code.
• 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. Experience with dimensional modeling and reusable business-facing datasets.
• Translate highly 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. Consider Snowflake query performance and compute cost. • Enforce data governance, security, and quality standards.
• 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.
• Experience working in Agile environments. • PySpark experience is preferred. Experience preparing governed data for advanced analytics or machine learning is a plus. Work Environment & Disclaimer
Complete your application on jobs.empower.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.
The Lead Data Engineer provides hands-on technical leadership in the design, development, and optimization of scalable data pipelines, ingestion frameworks, and data platforms. This role leads complex initiatives, ensures alignment with architectural standards, and drives delivery of high-quality, secure, reliable and properly governed data solutions and data platforms aligned with enterprise standards. Operating with significant independence, the Lead Data Engineer guides technical decision-making, mentors engineers, and ensures consistent implementation of best practices across teams. Serves as an escalation point for complex data engineering challenges.
The team currently uses SAS Viya and Amazon Redshift for data processing, automation, and reporting and is transitioning toward Snowflake. This role combines direct coding, troubleshooting, and support of existing workflows with participation in Snowflake engineering and design alongside enterprise engineering teams. Production ownership and new development remain core responsibilities as the future environment evolves.
• 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; 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 highly 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. Consider 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. 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.
• 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, 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. Experience with dimensional modeling and reusable business-facing datasets.
• 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.
• 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.
• Strong problem-solving and communication skills. Ability to explain complex technical matters clearly, listen to business users, and collaborate constructively across teams.
• Experience working in Agile environments.
• PySpark experience is preferred. Experience preparing governed data for advanced analytics or machine learning is a plus.
Work Environment & DisclaimerThis job operates in a professional office environment.
This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.
***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***
What we offer you
We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
Base Salary Range
$125,400.00 - $181,875.00The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Equal opportunity employer • Drug-free workplace
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***
Job Posting End Date at 12:01 am on:
11-20-2026Want the latest money news and views shaping how we live, work and play? Stay in the know with The Currency and sign up for Empower’s free newsletter.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Base Salary Range $125,400.00 - $181,875.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Greenwood Village, Colorado, United States
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on:
This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** What we offer you