Data Engineer

Who we are and what we do

Momentive (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower ​decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company’s vision is to raise the bar for human experiences by amplifying individual voices. Learn more at momentive.ai.

What we're looking for

You will report directly to our Director of Data Engineering for Momentive, and you will be a part of our Global data team which is the centralized data team for the Enterprise and is the source of Data for all departments like Finance, and Marketing. We are looking for a data engineer to join a team of experienced data engineers and data architects to build and manage the end-to-end data pipelines (batch and streaming) using modern cloud technologies. This is a role in the central data organization at Momentive that provides applicable insights.

You will

• Design, architect and build data pipelines to support existing data models
• Data quality: build quality checks in the end-to-end data pipelines
• Build new Data models (Fact vs Dimension). Write performant/idempotent transformations in Snowflake
• Build data pipeline using Python scripting (in a modular/loop context) Write well-tested, production ready code in Python and/or Snowflake SQL
• Experience implementing ETL (or ELT) best practices
• Translate requirements, to technical specifications, form project scope, and achieve deployable code.
• Write complex data engineering Snowflake - SQL jobs that perform queries on the entirety of our datasets

You have

• 5+ years experience in data engineering and Data warehousing technologies
• 3+ years experience in Snowflake/ETL
• Experience with data pipeline and workflow management tools using Airflow, Luigi
• Experience with AWS cloud services: S3, EC2, RDS
• Experience with object-oriented/object function scripting languages: Python, Java, Scala
• Experience scheduling, automating and deploying production data pipelines using Airflow/Luigi
• Experience with tools such as DBT, Matillion or Talend other similar technologies
• Experience transforming, developing data structures, metadata, dependency and data workflows to support an Analytics function
• Deep knowledge of Data lakes, EDW concepts, data modeling (Star, Snowflake and Galaxy schemas)

What we offer our employees

Momentive is a place where the curious come to grow and shape what’s next. By embedding inclusion into our processes, policies, and culture for our 1,400+ employees across North America, Europe, and APAC, we’re building a workplace where people of every background can excel. We’ve won multiple awards and received recognition for our forward-looking policies, including extended parental and bereavement leave, vendor benefits standards, and Take 4 sabbaticals.

Momentive is featured as a Glassdoor 2021 Best Place to Work and National Capital Region's Top Employer in Canada (2021). In 2020, Momentive was recognized as a top place to work by Glassdoor Best Places to Work, Fortune Best Places to Work in the Bay Area, Parity.org’s Best Companies for Women to Advance, and National Capital Region’s Top Employers in Canada. Momentive has consistently been recognized by Great Place to Work® and Fortune as a top workplace since 2018, and we have also won numerous awards as a leader in global survey software, including being named among the G2 Best Software Companies, CNBC's Disruptor 50, and the Forbes Cloud 100. 

Our commitment to an inclusive workplace

Momentive is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

Learn more about our diversity, equity, and inclusion efforts here. 

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