
Job Overview
Location
Indiana, USA
Job Type
Full-time
Category
Data Engineer
Date Posted
February 12, 2026
Full Job Description
📋 Description
- • Join Adthena, an award-winning leader in paid search intelligence, and play a pivotal role in shaping the future of our sophisticated data systems. Powered by patented AI technology, Adthena provides unparalleled insights into the paid search market, helping global brands like Citibank, L'Oréal, and Volvo optimize their spend and ROI. We are a scaling tech organization with the stability of an established company, offering a dynamic environment where your contributions have a significant impact.
- • As a Senior Data Engineer, you will be instrumental in designing, building, and maintaining the core data infrastructure that powers our cutting-edge solutions. This role offers a unique opportunity to work across the entire technology stack, collaborating closely with Web and Data Science teams to deliver user-centric solutions. You will leverage modern tools, including Generative AI assistants, to accelerate development cycles, enhance code quality, and amplify team velocity.
- • This position is ideal for a passionate coder who thrives on solving complex problems, stays ahead of emerging technologies, and is committed to driving engineering excellence. You will be part of a friendly, passionate team of engineers with published authors and award-winning data scientists who contribute to major machine learning and distributed data technologies like Apache Spark. Our data team handles hundreds of millions of data points daily, managing vast distributed computations and real-time streaming data.
- • Your responsibilities will encompass understanding and implementing best practices for distributed technologies. You will build and maintain robust services, features, and libraries that serve as definitive examples for new engineers joining the team. A key aspect of this role involves designing and writing effective, complex Spark jobs for data processing, aggregations, and pipeline construction.
- • You will also be responsible for designing and implementing complex asynchronous, highly parallel, low-latency APIs and processes. Embracing innovation, you will utilize Gen AI tools, such as code assistants and AI documentation tools, to significantly boost development speed, improve overall quality, and enhance team efficiency. This is a chance to be at the forefront of integrating AI into the engineering workflow.
- • Working within an Agile team, you will maintain, improve, and monitor Adthena's critical data collection processes, primarily using Scala and Java. Adherence to industry best practices like Test-Driven Development (TDD) and SOLID principles, alongside Adthena's specific Engineering Practices, will be essential.
- • A strong grasp of data structures and algorithms is crucial for building efficient solutions, and you will apply this knowledge to Adthena's data architecture, utilizing appropriate design patterns. You will design and implement databases for both relational and non-relational storage technologies, ensuring scalability and performance.
- • Furthermore, you will provide essential support to our Data Science team, enabling them to seamlessly deploy their machine learning models into production environments. Empathy towards team members and customers will be a cornerstone of your collaborative approach, fostering a positive and productive team dynamic.
- • This role offers the chance to explore and innovate with new technologies, mentor junior engineers, and lead significant technology initiatives. If you are driven by a love for coding, a desire to learn cutting-edge technologies, a passion for problem-solving, and a commitment to team success, you will find this role incredibly rewarding. You will contribute to an environment that values knowledge sharing, coaching, and collective growth, making a tangible impact on our product and our clients' success.
- • Adthena is committed to fostering an inclusive environment. We encourage individuals to apply even if they don't meet every single requirement listed. We believe diverse perspectives strengthen our team and are eager to explore how your unique skills and experiences can contribute to our mission. Reach out to us; we'd love to discuss your potential fit.
🎯 Requirements
- • Commercial experience developing complex Spark Jobs using Scala.
- • Proficiency in Java and Scala, with Python experience being a valuable asset.
- • Hands-on experience with data processing in both traditional and distributed systems (e.g., Hadoop, Spark, AWS S3).
- • Proven experience in designing data models and data warehouses, and a strong understanding of SQL and NoSQL database management systems (e.g., PostgreSQL, Cassandra).
- • Practical experience applying Gen AI tools to accelerate coding, debugging, or system design.
🏖️ Benefits
- • Trust-Based Vacation: Take as much time off as you need, when you need it.
- • Remote-First Culture: Enjoy the flexibility of working remotely, with options for hybrid work at our global hubs.
- • Career Growth: Access bespoke training and career development through 'Sherpa plans' designed to guide your professional journey.
- • Stock Options: Share in the company's success through equity options as we grow.
- • Private Medical Insurance: Fully covered healthcare for your well-being.
Skills & Technologies
About Adthena Limited
Adthena is a leading global intelligence platform that helps businesses understand and navigate the competitive digital advertising landscape. Leveraging advanced AI and machine learning, Adthena provides actionable insights into market trends, competitor strategies, and audience behavior. Their platform offers comprehensive market intelligence, including search, display, and social advertising data, enabling clients to optimize their advertising spend, identify new opportunities, and gain a significant competitive advantage. Adthena serves a wide range of industries, empowering brands, agencies, and publishers to make data-driven decisions and achieve superior campaign performance in the complex digital ecosystem.
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