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Ascensus

Principal Data Engineer

Posted 10 Days Ago
Remote
6 Locations
90K-180K
Senior level
Remote
6 Locations
90K-180K
Senior level
Lead the data warehouse team, managing operations, data quality, and governance while collaborating with various departments to enhance data strategies and stewardship.
The summary above was generated by AI

At Ascensus, technology is more than just a solution. It powers the business that helps millions of people save for what matters—retirement, education, and healthcare.  Our technology experts tackle exciting challenges in collaborative teams, but work in an environment where individual and career development is always valued.  Technology associates leverage their talents and passion, building new and innovative platforms, creating programs founded in automation in agile frameworks, and driving existing and new markets—all of which supports the rapid growth of a dynamic industry leader.

Section 1: Position Summary

As the leader of the data warehouse team, you will be responsible for guiding the team in managing data warehouse operations, ensuring data quality, performance, and governance. You will work closely with other departments, including Data Architecture and Data Operations, to develop strategies and improve data stewardship. This involves focusing on transactional data stores, data quality, performance, and governance. Additionally, you will oversee the integration of data from multiple sources to support business intelligence, marketing, and operational aggregation.

Section 2: Job Functions, Essential Duties and Responsibilities

Essential Job Functions: 

  • Collaborate with management teams, marketing professionals, data scientists, and analysts to understand business needs and identify areas where data can add value
  • Create processes that perform well with large data sets and are written to scale for future growth and adheres to business rules. 
  • Share knowledge and expertise and mentor team members.  
  • Team with engineering, IT and business stakeholders to support projects of varying complexity; gather reporting and data requirements, evaluate best approach, and propose solutions. 
  • Stay updated on technological trends and advances in data analysis, evaluate new technologies, tools, and methodologies, and recommend improvements

Essential Duties: 

  • Addressing Data Quality and Reliability issues 
  • Reviewing Operational performance 
  • Active involvement with Data Governance 
  • Assessing major risks 
  • Assessing major opportunities 
  • Partner effectively with cross-functional teams 
  • Implement operational improvements 

Supervision  

  • N/A

Section 3:  Experience, Skills, Knowledge Requirements

  • 2+ years of experience in data strategy development, data analysis, or related fields
  • 5+ years experience with two or more database engines. 
  • 2+ years experience Data Modeling  
  • Experience working in an Agile environment 
  • Able to develop, refine and implement processes and ‘ways of working’ 
  • High attention to detail 
  • Excellent written, visual, and oral communication skills to present insights clearly and persuasively
  • Balancing Optimism with Pragmatism 

The national average salary range for this role is  $90-180k in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis.  Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc.  For more information, please visit careers.ascensus.com/#Benefits. 

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

Top Skills

Agile
Data Modeling
Data Warehouse

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