Data Engineer

Digital Turbine Media • Durham, NC

20h • Hybrid

About The Position

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem. Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered. About the Data Engineer: Develop and implement new features for core systems leveraging our central data lake house Automate critical data workflows and manual tasks to enhance team productivity and operational efficiency Collaborate with Platform Engineering to support deployment processes and address infrastructure requirements Work closely with cross-functional technology teams to identify, understand, and fulfill infrastructure and data-related needs About you as the Data Engineer: 3 years of experience working with open source databases 3 years of experience working with ETL and related data pipeline technologies Proficient in GitLab and automating GL pipelines. Previous work with SQL and Python Java and Scala experience is a plus Demonstrable experience with cloud-based ETL tools, Spark on K8s or Databricks Ability to manage data platform with Terraform Experience with distributed data stores, with demonstrable experience using data lakes and with optimizing query performance Solid understanding of data structures and schema design Prior work with AWS or GCP ecosystems (GCP preferred) Exceptional analytical, organizational, interpersonal, and communication (both oral and written) skills Self-motivated, driven, resourceful Enjoy working in fast-paced, collaborative, Agile environments The ability to adapt and learn quickly is a fundamental necessity Bachelor’s Degree in Computer Science or related field About Digital Turbine: Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices. The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets. We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024. Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators. Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice .

Requirements

• 3 years of experience working with open source databases
• 3 years of experience working with ETL and related data pipeline technologies
• Proficient in GitLab and automating GL pipelines.
• Previous work with SQL and Python
• Demonstrable experience with cloud-based ETL tools, Spark on K8s or Databricks
• Ability to manage data platform with Terraform
• Experience with distributed data stores, with demonstrable experience using data lakes and with optimizing query performance
• Solid understanding of data structures and schema design
• Prior work with AWS or GCP ecosystems (GCP preferred)
• Exceptional analytical, organizational, interpersonal, and communication (both oral and written) skills
• Self-motivated, driven, resourceful
• Enjoy working in fast-paced, collaborative, Agile environments
• The ability to adapt and learn quickly is a fundamental necessity
• Bachelor’s Degree in Computer Science or related field

Nice To Haves

• Java and Scala experience is a plus

Responsibilities

• Develop and implement new features for core systems leveraging our central data lake house
• Automate critical data workflows and manual tasks to enhance team productivity and operational efficiency
• Collaborate with Platform Engineering to support deployment processes and address infrastructure requirements
• Work closely with cross-functional technology teams to identify, understand, and fulfill infrastructure and data-related needs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees