Senior Data Engineer, Linear

VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole selves to work every day.  We believe that accomplishing something great requires a special group of people who work hard, drive results, and have a blast while doing it - people who challenge the status quo and embody our values.  People who say, “I’ll find a way,” instead of saying, “it can’t be done.”

Our engineers are passionate about creating quality, trusted solutions as part of a collaborative and dynamic organization. The successful candidate will be a detail-oriented self-starter with a passion for growth and a high standard for their work.

At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected, and linear TV advertising. 

Responsibilities and Qualifications

United States, Remote

• 5+ years of experience in Data Engineering

• Fluency in working with SQL and analyzing and modeling complex data

• Experience developing production-grade software in Python is required.

• Experience building ETL/ELT stream/batch pipelines on big data platforms such as Snowflake, BigQuery, Redshift, Databricks (Spark), or others. Deep Snowflake experience is a strong plus.

• Experience orchestrating data engineering pipelines with Airflow

• Fluency with modern software development environments and tooling, e.g., Git, Jira, CircleCI (or similar CI/CD), Bazel 

• Collaborate with peers across the entire range of development activities that include distilling engineering designs from product requirements and data science methodologies, development of work plans, implementation, testing, productization, monitoring, and maintenance.

• Strong problem-solving skills in optimizing solutions for improved performance, scalability, and reduced infrastructure and/or support costs

• An understanding of media-measurement-tech terms and methodologies is a strong plus.

• Experience with data privacy and secure architectures preferred. Experience with data cleanrooms is a plus.

• Support the team and data environment by periodically being on call.

• B.S. or equivalent in computer science, math, or a similar technical field is preferred. An advanced degree is a plus.

Technologies We Use

• Snowflake

• AWS

• Kubernetes

• Databricks

• Airflow

• Spark

• Postgres

• Go

• Python

• gRPC

• Bazel

What We Offer

Minimum base salary of $131,000 - $170,000 + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.

• • Discretionary and flexible paid time off
  • In addition to standard US holidays off, VideoAmp employees also partake in week long Summer and Winter Breaks
  • Comprehensive medical, dental, and vision benefits for you and your dependents - including multiple options fully covered by VideoAmp
  • Unlimited financial wellness sessions with Origin financial advisors
  • 401k Plan
  • HSA & FSA
  • Commuter Benefits
  • Cell Phone Reimbursement
  • Paid Maternity and Parental Leave for All Family Additions

We are on a collective mission to bring equity and transparency into media measurement, and that begins with an honest, inclusive culture. At VideoAmp, we empower our team to thrive through collaboration, mentorship, and innovation. If you're passionate about all things data and tech, and have extensive knowledge and curiosity around the digital media space, we’d love to hear from you.

Above all, if you're eager to influence and support the revolutionary goals of a dynamic, cross-functional team -  join us and make an impact!

#LI-Remote