Data Engineer III

1 Month ago • 5 Years + • Data Analysis

Job Summary

Job Description

This Data Engineer III role at SurveyMonkey involves designing, building, and managing end-to-end data pipelines (batch and near real-time) using modern cloud technologies. Responsibilities include leading data engineering initiatives, building analytical solutions, ensuring data quality, creating data models, writing efficient code in Python and Snowflake SQL, implementing ETL best practices, translating business requirements into technical specifications, writing complex SQL jobs, documenting systems, monitoring and debugging data pipelines on Airflow, participating in code reviews, and mentoring other data engineers.
Must have:
  • 5+ years of data engineering and data warehousing experience.
  • 3+ years of experience in Snowflake/ETL or similar technologies.
  • Experience with AWS cloud services such as S3 and EC2.
  • Experience with object-oriented/function scripting languages like Python.
  • Experience with orchestrating and deploying data pipelines using Airflow.
Good to have:
  • Experience with DevOPS: Git, Github actions, CI/CD pipelines, Terraform.
  • Experience with tools such as DBT or similar technologies.
  • Experience with data modeling (Star, Snowflake and Galaxy schemas).

Job Details

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 of experience in data engineering and Data warehousing technologies
  • 3+ years of 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)

#LI-remote

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.

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About The Company

At SurveyMonkey, we believe that every voice matters, and we’re on a mission to empower individuals and organizations to share their ideas, feedback, and insights. Our tools help millions worldwide make smarter decisions and create meaningful change. Join our innovative and diverse team, where creativity meets purpose, and every day offers a new opportunity to make an impact.

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