tvScientific Logo

tvScientific

Sr. Software Engineer, Big Data, tvScientific

Reposted 16 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA
124K-255K Annually
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA
124K-255K Annually
Senior level
Design and implement scalable data infrastructure and pipelines on AWS using Spark and Scala. Build fault-tolerant batch and streaming workflows, optimize storage formats and engines, enforce automated data quality checks, and collaborate with Data Science and Product teams to deliver reliable data assets and APIs.
The summary above was generated by AI

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.


As a Senior 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. 


What you'll do:

  • 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
  • Collaborate with our cross-functional teams to design data solutions that meet business needs
  • Built out fault-tolerant batch and streaming pipelines
  • Leverage and optimize AWS resources while designing for scale
  • Collaborate closely with our Data Science and Product teams
  • How we'll define success:
    • Successful implementation of scalable and efficient data infrastructure
    • Timely delivery and optimization of data assets and APIs
    • High attention to detail in implementation of automated data quality checks
    • Effective collaboration with cross-functional teams


What we're looking for:

  • Production data engineering experience
  • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  • 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

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$123,696$254,667 USD

Similar Jobs

14 Days Ago
Remote
USA
158K-176K Annually
Senior level
158K-176K Annually
Senior level
Healthtech • Software
The Senior Software Engineer will develop and maintain big data applications, focusing on distributed computing, automation, and collaboration with teams to enhance healthcare solutions.
Top Skills: Apache HudiSparkAWSAzureBig DataDatabricksDockerGitHadoopHdfsJavaKubernetesMap ReduceMicrosoft Sql ServerMySQLPythonRestful ApiS3Trino
25 Minutes Ago
Remote
United States
139K-160K Annually
Senior level
139K-160K Annually
Senior level
Artificial Intelligence • Fintech • Software • Financial Services • Generative AI • Big Data Analytics • Automation
Own full enterprise sales cycles for Advisor360°'s WealthTech SaaS, building C-suite relationships, aligning platform solutions to client needs, collaborating with Sales Engineering/Product/Marketing, influencing pricing and deal structure, and consistently achieving quarterly and annual revenue targets.
35 Minutes Ago
Remote or Hybrid
United States
129K-174K Annually
Senior level
129K-174K Annually
Senior level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Lead and execute SEO strategy to grow organic visibility across web, AI search, and emerging discovery platforms. Own technical and content SEO roadmaps, partner with Product, Engineering, and Content to optimize indexing, performance, structured data, and site architecture. Measure and report visibility, traffic, engagement, and conversion; influence cross-functional stakeholders to scale SEO impact.
Top Skills: AhrefsBi ToolsGoogle AnalyticsGoogle Search ConsoleLookerProfoundPromptwatchPythonScreaming FrogSemrushSQLTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account