SurveyMonkey is the world’s most popular platform for surveys and forms, designed for business and loved by users.
The company combines powerful capabilities with intuitive design, serving various use cases from customer experience to employee engagement.
SurveyMonkey is trusted by millions, including startups and Fortune 500 companies, to gather insights that drive business growth.
The company is seeking a seasoned data engineer to join a team of skilled data engineers and architects to build and manage end-to-end data pipelines using modern cloud technologies.
This role is part of the central data organization at SurveyMonkey, providing actionable insights into key business functions.
As a Data Engineer, the individual will lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
The position reports to the Senior Manager, Data Engineering.
Responsibilities include designing and building data pipelines, ensuring data quality, creating new data models, writing performant transformations in Snowflake, and implementing ETL best practices.
The role also involves translating business requirements into technical specifications, writing complex SQL jobs, documenting systems, monitoring data pipelines, participating in code reviews, and mentoring other data engineers.
Requirements:
Candidates must have 5+ years of experience in data engineering and data warehousing technologies.
A minimum of 3+ years of experience in Snowflake/ETL or similar technologies like Redshift is required.
Experience with AWS cloud services such as S3, EC2, RDS, Spark, and EMR is necessary.
Proficiency in object-oriented or functional scripting languages, particularly Python, is preferred, along with experience in Java or Scala.
Candidates should have experience in orchestrating, automating, and deploying production data pipelines using tools like Airflow or Luigi.
Familiarity with DevOps practices, including Git, GitHub actions, CI/CD pipelines, and Terraform, is essential.
Experience with tools such as DBT or similar technologies is required.
Candidates should have experience in transforming and developing data structures, metadata, and workflows to support analytics functions.
In-depth knowledge of data lakes, EDW concepts, and data modeling (Star, Snowflake, and Galaxy schemas) is necessary.
Benefits:
SurveyMonkey offers an inclusive workplace where employees from diverse backgrounds can excel.
The company emphasizes employee feedback and core values in its benefits policies and programs.
Employees enjoy an annual holiday refresh and a week of service.
Learning and development opportunities are provided, including events like Curiosity Week.
The C.H.O.I.C.E Fund offers employees flexibility in their benefits.
SurveyMonkey is committed to providing a workplace free from harassment and discrimination, celebrating the unique differences of its employees.