Staff Data Engineer

ZipRecruiter; Los Angeles (CA); Remote; USD 185,000 - 200,000; Full time

Job summary

An innovative company is seeking a Staff Data Engineer to play a pivotal role in shaping the data infrastructure for a data-driven organization. This position offers the opportunity to collaborate with talented teams to design and implement scalable data solutions, optimize ETL processes, and support machine learning initiatives. With a focus on leveraging cutting-edge technologies like Spark and AWS, this role promises a dynamic work environment where your expertise will drive impactful results. Join a forward-thinking team that values transparency, performance, and a healthy work-life balance, making a significant contribution to the future of data engineering.

Benefits

Full health, dental, and vision insurance

Employee stock option program

Company-sponsored retirement plan

12 annual paid holidays

Generous PTO policy

Remote-first environment

Qualifications

• 8+ years of experience in data engineering.
• Proven experience building data infrastructure using Spark with Scala.
• Strong proficiency in AWS services.

Responsibilities

• Design and implement robust data infrastructure using Spark with Scala.
• Build out core data pipelines and feed machine learning models.
• Collaborate with cross-functional teams to design data solutions.

Skills

Data Engineering

Spark

Scala

AWS

SQL

ETL Processes

Data Lakes

Cloud Warehouses

Communication Skills

Education

Bachelor's degree in Computer Science

Tools

AWS

Elastic Map Reduce (EMR)

Job description

Job DescriptionJob Description

Job Title: Staff Data Engineer
Location: Remote, US
Department: Engineering
Type: Full-Time, Exempt
Experience: 8+ years of experience
Salary Range: $185,000 - $200,000 (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 Staff 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.

How We'll Define Success

• 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.

You'll Be Successful in This Role if You Have/Are

• 8+ 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.

You May Also Have

• 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.

Culture and Benefits

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.

As tvScientists We Are...

• 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.

tvScientific is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. tvScientific is an Equal Opportunity Employer and does not discriminate on the basis of , , , , or expression, , , , protected veteran status, , or any other status protected by applicable , federal, state, or local law.