Data Engineer III at Pearson

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

115000.0

Posted On

17 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL Pipelines, Data Modeling, Data Warehousing, BI Tools, Power BI, Tableau, SQL, PostgreSQL, Git, Version Control, Agile Development, Time Management, Analytical Thinking, Data Integrity, QA, Reporting

Industry

education

Description

The Data Services Engineer is responsible for reporting, investigating, and manipulating data in support of Navvy, a rapidly growing classroom assessment platform. They will use industry best practices while working in a team of high-performing professionals. This requisition is part of Pearson’s School Technology team, which develops innovative assessment technology platforms. Navvy is used by students and teachers in the classroom to obtain precision diagnoses of student learning needs. Navvy’s efficient, rigorous assessments fill a unique need for schools across the country, and is an important part of Pearson’s future direction. We are looking for outstanding candidates to bolster the staff of this important project. Team: The current Navvy development team comprises a small group of inspired individuals with a passion for innovation and pride in producing excellent user experiences. Our work environment is highly collaborative, casual, flexible, agile and results-driven. Because the product provides a mission-critical service to educators whose time is extremely valuable, high-quality performance is required to meet customer expectations. The Data Services Engineer will: Develop repeatable ETL pipelines to feed team dashboards, reports, and analytics Investigate underlying data to assist in production support efforts Assist platform engineering team with in-app reporting and dashboard development Work with adjacent teams to develop reliable data extracts that support their work Implement validation checks and monitoring to maintain data integrity and consistency Build tools to fabricate data sets for standing up product demos and to assist QA efforts Perform other duties as assigned Qualifications Required Education and Experience: Bachelor’s degree in Computer Science or equivalent technology discipline (equivalent job experience will also be considered) 2+ years relevant data engineering experience in a SaaS environment Knowledge of data modeling and warehousing concepts Experience with BI tools (Power BI, Tableau) Experience with building data pipelines following industry best practices Significant experience with writing complex SQL queries (PostgreSQL experience preferred but not critical) Experience with Git or similar version control tools Desired Experience: 2+ years experience working in an agile development environment Quickly learn new processes and tools, business domains and technical applications Able to think technically and analytically Must assimilate information, distill knowledge, apply experience and provide solution alternatives and recommendations Must have strong time management skills - including the ability to plan, set priorities, adapt to change, and meet established timelines without constant supervision Must be a self-starter and detail-oriented Effective written and verbal communication skills Ability to work within a team Equal Employment Opportunity Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply. Applications will be accepted through February 23, 2026. This window may be extended depending on business needs. Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows: The minimum full-time salary range is between $85 - $115,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. #LI-EB1

Responsibilities

The Data Services Engineer will be responsible for developing repeatable ETL pipelines to support team dashboards, reports, and analytics, while also investigating underlying data to assist with production support efforts. They will also assist the platform engineering team with in-app reporting and dashboard development and implement validation checks to maintain data consistency.