Staff Data Engineer

tvScientific

8d • Remote

About The Position

As the Staff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. Your expertise in Spark and Scala (5 years minimum) will be critical for success.

Requirements

• Minimum of 8 years of full-time experience in data engineering
• Proven experience building data infrastructure using Spark with Scala for at least 5 years
• Experience in delivering significant technical initiatives and building reliable, large scale services
• Experience in delivering APIs backed by relationship-heavy datasets
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Expertise in SQL for data manipulation and extraction
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science or a related field

Nice To Haves

• Experience in adtech
• Experience implementing data governance practices, including data quality, metadata management, and access controls
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
• Familiarity with data table formats like Apache Iceberg, Delta
• Previous experience building out a Data Engineering function
• Proven experience working closely with Data Science teams on machine learning pipelines

Responsibilities

• Design and implement robust data infrastructure in AWS, using Spark with Scala
• Evolve our core data pipelines to efficiently scale for our massive growth
• Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
• Leverage and optimize AWS resources while designing for scale
• Collaborate closely with our Data Science and Product teams

Benefits

• Full health, dental, and vision insurance - up to 95% funded by the company for employees
• Employee stock option program
• Company-sponsored retirement plan with a matching contribution program
• 12 annual paid holidays (including 2 flexible days)
• Generous PTO policy (get your work done and take the time you need)
• A remote-first environment that allows employees flexibility to work from most places in the US

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees