What we're looking for

We are looking for a senior data engineer to join a team of experienced 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 Momentive that provides actionable insights to all key business functions of the organization. In this role, you will report to the Director of Data Engineering

You will

• 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

You have

• 7+ 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)

Who we are and what we do

Momentive (NASDAQ: MNTV), maker of SurveyMonkey, is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Our vision is to improve human experiences by amplifying individual voices. Learn more at Momentive.ai.

What we offer our employees

The base pay provided for this position ranges from $126,560 - $237,240 / year depending on geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses, commissions, and/or equity may also be offered as part of the total compensation package, in addition to a great benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

In addition, we've won multiple Culture and Employee awards, including Comparably's Best Workplace for Women and Diversity and Best Company for Perks and Benefits and Work-Life Balance, and received recognition for our forward-looking benefits policies, including best workplace for parents, vendor benefits standards, and our annual holiday refresh.

Our commitment to an inclusive workplace

Momentive is an equal opportunity employer and is 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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