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Data Engineer III

SurveyMonkey

Ottawa

Hybrid

CAD 90,000 - 130,000

Full time

11 days ago

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Job summary

SurveyMonkey is seeking a seasoned data engineer to join their central data organization in Ottawa. The role involves leading initiatives to build and manage data pipelines, ensuring data quality, and collaborating with fellow engineers to deliver innovative data solutions. A strong background in data engineering, particularly with modern cloud technologies and data modeling, is essential for success in this position.

Benefits

Flexible working hours
Learning and development opportunities
Inclusive workplace culture
Remote work options

Qualifications

  • 5+ years of experience in data engineering and data warehousing technologies.
  • 3+ years of Snowflake/ETL or similar technologies experience.
  • Experience with Python and AWS cloud services.

Responsibilities

  • Design and build data pipelines for various business functions.
  • Implement data quality processes and monitoring.
  • Translate business requirements into technical specifications.

Skills

Data engineering
AWS services
Python
Data modeling
ETL processes
Data quality checks
Airflow
DevOps practices

Tools

Snowflake
DBT
Redshift

Job description

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

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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