À propos
You’ll own well‑defined components and projects end‑to‑end, from development through production support, while receiving guidance and technical mentorship from senior engineers. Over time, you’ll deepen your expertise across distributed data systems, cloud infrastructure, data modeling, containerized workloads, and modern development workflows, including effective use of AI tools to accelerate development and debugging.
What you get to do:
Design, build, and maintain scalable, reliable data pipelines using modern big data technologies
Contribute to core ad measurement data products, including exposure processing, aggregation, and analytics‑ready datasets
Collaborate with Product, Analytics, and Engineering partners to translate business requirements into robust data solutions
Implement and optimize ETL/ELT workflows with a focus on data correctness, performance, and cost efficiency
Develop, deploy, and operate data workloads running on Kubernetes, including Amazon EKS
Write clean, well‑structured, and well‑tested production code in Scala
Leverage AI‑assisted development tools (for example code generation, refactoring, test creation, and debugging support) responsibly to improve productivity and code quality
Implement data quality checks, monitoring, and alerting to support operational excellence and meet SLAs
Participate actively in code reviews, design discussions, and agile ceremonies
Maintain clear documentation to support data governance, onboarding, and long‑term maintainability
What you bring to the role:
3 to 5+ years of experience building and supporting production data pipelines or backend data systems
Strong proficiency in Scala for data‑intensive applications
Hands‑on experience with Apache Spark for batch and streaming data processing
Experience working in the AWS data ecosystem (for example S3, EMR, Glue, Athena)
Working knowledge of Kubernetes concepts and experience deploying or operating workloads on Amazon EKS
Solid understanding of ETL/ELT concepts, data modeling, and advanced SQL
Experience with workflow orchestration tools such as Airflow or similar
Familiarity with distributed systems and working with large‑scale datasets
Comfortable working in a Linux‑based environment
Strong collaboration and communication skills in an agile, fast‑moving team
Demonstrated ability to learn new tools and technologies, including AI‑powered developer tools for coding and testing
Nice to have:
Experience with containerization and Docker‑based development workflows
Experience with Snowflake or other cloud data warehouses
Exposure to streaming or near‑real‑time systems (Kafka, Kinesis, etc.)
Experience with data quality, observability, or monitoring tooling
Familiarity with CI/CD pipelines for data platforms
Experience in AdTech or digital advertising platforms
Why DISQO:
Build data products that directly influence how brands measure advertising impact
Work with modern cloud‑based data infrastructure at meaningful scale
Learn from experienced engineers while owning real production systems
A culture that values engineering excellence, pragmatism, and continuous learning
Perks & Benefits:
100% covered Medical/Dental/Vision for employee, competitive dependent coverage
Stock options
401K
Generous PTO policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen
Paid Maternity/Paternity leave
Disability Insurance
Travel Assistance Program
24/7 Counseling Services offered to Employees
#LI-MV1
At DISQO, we pride ourselves on having a positive, performance‑oriented workplace that includes a flexible hybrid approach, competitive medical benefits, and an amazing vacation policy. Read more about our culture on Glassdoor.
You can learn more about what’s happening at DISQO by visiting the DISQO Company Blog.
DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm.
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Compétences linguistiques
- English
Avis aux utilisateurs
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