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

Requirements

5+ years of Python experience
Experience working with cloud; AWS preferred
Additional experience with DynamoDB, Athena, Iceberg, S3, Glue, OpenSearch
Familiarity with Spark preferred
Hands-on experience with data workflow orchestration (Airflow)
Proven track record of working with cross-functional teams in an agile-like environment
Ability to communicate data concepts, requirements, and risks clearly to cross-functional team members, especially product analysts, data scientists, and product managers
Preferably, you have experience developing ML-based products and services

Benefits

Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.
Flexible Time Off: We support a flexible vacation policy allowing you to take time off when you need to recharge.
Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.
Global Impact: Join our diverse team that’s shaping the future of the creator economy across the globe.
Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Pythondata pipelinedata platformdata qualitydata acquisitiondata infrastructuredata workflow orchestrationML-based productsagilecloud computing

collaborationcommunicationcross-functional teamworkadvocacyproblem-solving