Data Engineer Intern

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.

We are seeking a motivated Data Engineer Intern to join our team and gain hands-on experience in building and maintaining scalable data solutions.

This internship will provide exposure to data pipelines, ETL processes, data science and ML-OPS foundational systems, cloud technologies, and big data platforms.

Please note that Digital Turbine is a hybrid work environment-only candidates local to the specified office locations will be considered.

About the role of the Data Engineer Intern:

• Assist in designing, developing, and optimizing ETL pipelines for data ingestion and transformation.
• Work with SQL and NoSQL databases to store, retrieve, and manage structured and unstructured data.
• Support data integration from multiple sources, ensuring data quality and consistency.
• Collaborate with data scientists and analysts to provide well-structured, clean datasets.
• Work with big data technologies (Hadoop, Spark, Kafka, etc.) and cloud platforms (AWS, GCP, or Azure).
• Monitor and troubleshoot data pipelines to maintain performance and reliability.
• Document processes and contribute to best practices for data engineering workflows.

Qualifications of the Data Engineer Intern:

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Understanding of SQL and database management (PostgreSQL, MySQL, etc.).
• Familiarity with Python, Java, or Scala for data processing.
• Basic knowledge of ETL processes, data modeling, and data warehousing concepts.
• Exposure to cloud services (AWS Redshift, Google BigQuery, or Azure Synapse) is a plus.
• Understanding of Apache Spark, Hadoop, Kafka, or similar technologies is a bonus.
• Strong analytical skills and ability to work with large datasets.
• Excellent problem-solving skills and eagerness to learn new technologies.

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.

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