What you will do:
- Leverage your data engineering and infrastructure skills to impact our business by taking ownership of key projects requiring environment build and data pipelines
- Collaborate with product managers, software engineers and data engineers to design, implement, and deliver successful data solutions.
- Identify, design and implement internal process improvements including re-designing Data/Observability infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Design, build and optimize performant databases, data models, integrations and ETL pipelines in RDBMS and NoSQL environments
- Play a critical role in designing and evolving our data infrastructure on AWS, orchestrating Spark-based pipelines in Kubernetes (EKS), and enabling our data engineering and analytics teams to deliver insights with confidence and speed.
- Proven expertise in Spark and managing Spark workloads on Kubernetes (EKS).
- Use your Big Data skills to help optimize poor performing SQLs for the business
- Maintain detailed documentation of your work and changes to support data quality and governance.
- Participate in an on-call rotation to provide operational support for critical data platform services and data pipeline jobs.
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
- Be an engaged participant and advocate of agile/scrum practices to ensure health and process improvements for your team
- Define best practices around making our systems and services measurable and work with our various teams to get those best practices applied
- Collaborate with other Engineering teams to ensure our Jobs are emitting the right metrics
- Collect, aggregate and visualize the collected metrics to provide actionable insight
What you bring to the role:
- At least 5+ years of experience in Data Platform owning and enabling capabilities within an enterprise data ecosystem including best Data Management practices.
- At least 3+ years of experience as SRE, DevOps or equivalent engineering roles
- At least 3+ years of production experience with AWS
- Strong hands on experience managing infrastructure and configuration of Data Platforms in the Cloud - Data Lake, Data Warehouse, Data Mart, Graph Database, Time Series Database, Object Store, etc.
- Strong experience and deep knowledge in the Hadoop ecosystem including performance tuning and operational efficiency.
- Strong experience in Spark with Python or Scala
- Strong hands-on experience in Infrastructure-as-Code and Configuration management tools and technologies: Terraform, Helm, Strimzi, AWS CloudFormation, Packer, Chef, Puppet, Ansible, etc.
- Strong experience in CI/CD tools like Jenkins
- Hands-on experience with observability systems like New Relic, Prometheus/Grafana
- Deep knowledge in various ETL/ELT tools and concepts, data modeling, SQL, query performance optimization
- Experience with building real-time processing applications using Spark Stream and Kinesis/Kafka
- Experience with workflow management tools (Airflow, Oozie, Azkaban, Luigi, etc.)
- Comfortable working in Linux environment
- Ability to thrive in an agile, entrepreneurial start-up environment
What We Do
DISQO’s mission is to build the world’s most trusted ad measurement platform that fuels brand growth. The world’s largest brands, agencies, and media companies trust DISQO for expert insight and AI-driven intelligence about their advertising performance across all platforms. We capture people’s sentiments and journeys, connecting them with the brands they value and the media they consume. With this identity-based approach, brands gain more accurate and authentic insight so they can create more meaningful interactions.
Founded in 2015 and headquartered in Los Angeles, DISQO is recognized as a hyper-growth tech startup and one of the best places to work in the US, with more than 270 team members globally. Follow @DISQO on LinkedIn and Twitter/X.
Why Work With Us
At DISQO, we don’t just hire talent—we champion it. We unlock potential, fuel growth, and raise the bar. Our culture thrives on curiosity, creativity, and courage. Respect is non-negotiable, collaboration is instinctive, and impact is expected. Here, you grow, lead, and redefine what’s possible.
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DISQO Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In 2023, we implemented a structured hybrid model for employees who live within 50 miles of any of our physical offices (Glendale, CA/New York, NY/Yerevan, Armenia). All other employees are encouraged to visit offices.











