Senior Data Engineer

About ETS

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

The Senior Data Engineer leads on data collection, cleaning, organizing, and preparing data. Also conducts complex data analysis and reporting on results. Also builds algorithms and prototypes. Where developing new algorithms, disseminates work externally. Works closely with the Data Scientists on the deployment of prototypes.

Responsibilities

• Lead on the evaluation and understanding of business/team needs and objectives and interpret them into data collection and analysis efforts
• Lead on the development of instruments and protocols for data collection efforts specific to research questions
• Lead on building instruments and protocols in appropriate forms (e.g. Qualtrics, Survey Gizmo, Word Documents)
• Lead data collection efforts to ensure teams receive the amount of data required to answer research questions
• Leads on the organization (e.g. creation of required variables) and preparation for analysis for prescriptive and predictive models
• Identify information from various sources to create a comprehensive database
• Lead on the development of algorithms and prototypes aligned to project or initiative needs
• Conduct very complex data analyses to answer research questions
• Act as lead collaborator with teams to interpret findings and create insights that are applicable to business objectives
• Demonstrate excellent communication and collaboration skills
• Work effectively within the agile framework
• Lead on building the data engineering practice and community, determining best practices and guidelines, mentoring and training junior data engineers, identifying development opportunities.
  
  

Master’s degree (or Bachelors and eight years of experience with data engineering) in Computer Science, Applied Mathematics, Engineering, Linguistics or a related field is required

Data engineering certification required

At least six years of experience as a data engineer or similar role

Expertise in data collection, cleaning, and organization

Experience building complex databases

Technical experience with building data models and data mining

Experience with Python and/or R

Great organizational and analytic skills

ETS is mission driven and action oriented

• We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.
• We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. Â In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!
• As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. Â At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!
  
  

ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.