Remote Data Engineer III

at SurveyMonkey

Posted 16 hours ago 0 applied

Description:

  • 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.