Offer summary

Qualifications:

At least 5 years of hands-on data engineering experience., Proficiency in building data pipelines, ETL processes, and working with data lakes., Strong knowledge of SQL, Python, Spark, and cloud technologies like AWS., Excellent communication skills and ability to work independently in a fast-paced environment..

Key responsibilities:

Develop and maintain efficient data pipelines and platforms.

Collaborate with ML/AI, backend, and product teams to create data sets.

Ensure data quality and integrate new data sources.

Work with cross-functional teams to deliver impactful data solutions.

Job description

About vidIQ

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand at www.vidiq.com.

About the Team

We're a team of 100+ people and growing quickly. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of smart, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like owners.

About the role

vidIQ is seeking a highly-motivated Senior Data Engineer with at least 5 years of hands-on data engineering experience to join our growing team. The ideal candidate will be a go-getter with the ability to work independently, be proactive and take full ownership. In this role, you will have oversight of working with data lake, events streaming, building ETL pipelines, wiring SQL, k8s.

You must be highly collaborative and a self-starter who is able to work in a fast-paced environment. Strong communication skills are essential in this role, as it will be integral in communicating to the back-end team where and how to implement data integration and persistence. Interest in AI and the potential it brings is a must.

An overview of our technology stack

AWS: S3, Glue, Athena, EKS, DynamoDB, OpenSearch, MSK

SQL, Python, Spark (on k8s), pandas, dbt, Iceberg, Airflow, Superset, Airbyte, terraform, docker, Github Actions

What you will do:

Building efficient, critical data pipelines and data platform
Collaborate closely with ML/AI Engineers, Backend Engineers and product to create the data sets that power vidIQ’s algorithms
Be an advocate for data quality, acquisition of new data sources, and data infrastructure tooling
Work closely with cross-functional teammates, including product managers, designers, backend, DevOps and ML/AI Engineers to deliver the highest impact to our users

Required profile