What are the responsibilities and job description for the Senior Data Engineer position at tvScientific?
Job Title: Senior Data Engineer
Location: Remote, US
Department: Engineering
Type: Full-Time, Exempt
Experience: 7 years of experience
Salary Range: $160,000 - $182,000 (based on experience)
Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST
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.
Role Summary
As a Senior Data Engineer at tvScientific, you will be a key player in designing and implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models.
This is an individual contributor role with the potential to lead, where you will work closely with our VP of Technology to define and implement a strategic vision for data engineering within the organization. Your expertise in Spark and Scala will be critical for success.
What You'll Do
At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs.
Location: Remote, US
Department: Engineering
Type: Full-Time, Exempt
Experience: 7 years of experience
Salary Range: $160,000 - $182,000 (based on experience)
Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST
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.
Role Summary
As a Senior Data Engineer at tvScientific, you will be a key player in designing and implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models.
This is an individual contributor role with the potential to lead, where you will work closely with our VP of Technology to define and implement a strategic vision for data engineering within the organization. Your expertise in Spark and Scala will be critical for success.
What You'll Do
- Design and implement robust data infrastructure using Spark with Scala.
- Collaborate with our cross-functional teams to design data solutions that meet business needs.
- Build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models.
- Leverage and optimize AWS resources.
- Collaborate closely with the Data Science team.
- Successful design and implementation of scalable and efficient data infrastructure.
- Timely delivery and optimization of ETL processes.
- Effective collaboration with cross-functional teams.
- Seamless integration with Data Science for machine learning pipelines.
- 7 years of experience in data engineering.
- Proven experience building data infrastructure using Spark with 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.
- Experience in adtech.
- Familiarity with Elastic Map Reduce (EMR).
- Previous experience leading and/or building out a Data Engineering function.
- Proven experience working closely with Data Science teams on machine learning pipelines.
At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs.
- 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.
- Big Thinkers: We believe in setting audacious goals and envisioning transformative change.
- Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability.
- Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves.
- Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success.
- Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises.
- Forever Students: Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees.
Salary : $160,000 - $182,000
