SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips.
Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com.
What we’re looking for
We are looking for a seasoned data engineer to join a team of highly skilled data engineers and data architects to build and manage the end-to-end data pipelines (batch and near real-time) using modern cloud technologies. This is a role in the central data organization at SurveyMonkey that provides actionable insights into all key business functions of the organization. As a Data Engineer, you will lead data engineering initiatives and build end-to-end Analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You will be reporting to the Senior Manager, Data Engineering.
What you’ll be working on
- 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 Snowflake SQL
- Hands-on experience implementing ETL (or ELT) best practices
- Translate business requirements, to technical specifications, form project scope, and deliver deployable code.
- Write complex data engineering Snowflake - SQL jobs that perform sophisticated queries on the entirety of our datasets
- Document our systems for internal and external stakeholders
- Monitor and debug data pipelines running on Airflow
- Participate in code reviews
- Mentor data engineers on best practices and coding standards
We’d love to hear from people with
- 5+ years experience in data engineering and Data warehousing technologies
- 3+ years experience in Snowflake/ETL or similar technologies like Redshift
- Experience with AWS cloud services: S3, EC2, RDS, Spark, EMR etc
- Experience with object-oriented/object function scripting languages: Python (preferred), Java, Scala, etc.
- Experience in orchestrating, automating and deploying production data pipelines using Airflow/Luigi, etc
- Experience with DevOPS: Git, Github actions, CI/CD pipelines, Terraform etc
- Experience with tools such as DBT or other similar technologies
- Experience with transforming, developing data structures, metadata, dependency and data workflows to support an Analytics function
- In depth knowledge of Data lakes, EDW concepts, data modeling (Star, Snowflake and Galaxy schemas)
SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day per week.
#LI - Hybrid
Why SurveyMonkey? We’re glad you asked
SurveyMonkey is a place where the curious come to grow. We’re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback and our core values into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including our annual holiday refresh, our annual week of service, learning and development opportunities like Curiosity Week, and our C.H.O.I.C.E Fund.
Our commitment to an inclusive workplace
SurveyMonkey is an equal opportunity employer 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.
