DISQO is a leading provider of advertising intelligence, measuring brand and performance outcomes across every media channel to power data-driven marketing decisions. Trusted by 500+ of the world’s largest brands and 150+ agency and media partners, and recognized by Inc., Deloitte, Ad Age, Digiday, Forbes, and Cynopsis, DISQO is redefining the power of measurement in advertising.
Joining DISQO Nation means being part of a team that moves fast, thinks boldly, and is passionate about solving meaningful problems. Innovation isn't just something we talk about, it's how we operate. We challenge assumptions, embrace new ideas, and continuously push ourselves to build better solutions for our customers and each other.
Our values guide how we work and win together. We believe in winning as one team, fostering a culture of collaboration, trust, and shared accountability. We pursue outsized impact by focusing on opportunities that drive meaningful results for our customers and our business. We champion the customer by putting their needs at the center of every decision and delivering solutions that create real value. And we are relentlessly all in, bringing energy, passion, and commitment to every challenge, every day.
If you're energized by high-growth environments, motivated by innovation, and excited by the opportunity to do impactful work alongside talented, driven teammates, you'll feel right at home at DISQO.
What you will do:
Architect and Lead: Design, build, and maintain highly scalable, fault-tolerant data pipelines using expert-level Scala and Apache Spark.
Gen AI Integration: Pioneer the use of Generative AI within our data ecosystem—incorporating LLMs to enrich datasets, extract value from unstructured data, automate metadata generation, and build intelligent data products.
Cross-Functional Strategy: Partner with Product and Engineering leadership to translate complex business requirements into forward-looking data and AI-augmented architectures.
Optimize Systems: Architect and aggressively optimize large-scale ETL/ELT workflows. Dive deep into Spark internals to resolve complex performance bottlenecks, memory issues, and data skew.
Modern AI Tooling: Implement and manage infrastructure to support AI integration, including vector databases, embeddings pipelines, and Retrieval-Augmented Generation (RAG) architectures.
Set the Standard: Write clean, highly optimized, and maintainable code, while establishing standards for code quality, testing, and system architecture across the organization.
Ensure Operational Excellence: Champion data quality, observability, and system health to consistently meet enterprise SLAs and customer commitments.
Mentorship: Actively mentor engineers, lead technical design reviews, and foster a culture of continuous learning and technical rigor.
What we're looking for:
8+ years of experience building, architecting, and supporting complex production data pipelines, distributed systems, and backend infrastructure.
Expert-Level Scala & Spark: Deep, hands-on expertise in Scala and Apache Spark. You must understand Spark internals, query plans, memory management, and advanced performance tuning for massive-scale batch processing.
Applied Generative AI Experience: Proven experience integrating Gen AI / LLMs (e.g., OpenAI APIs, Anthropic, Bedrock) into data products or data engineering workflows. Hands on experience developing with AI dev tools such as Claude code, etc
Strong Python Skills: Proficiency in Python specifically to interface with modern AI ecosystems, data APIs, and orchestration tools.
Cloud Mastery: Extensive architectural experience within the AWS ecosystem (EMR, Glue, Athena, S3, Bedrock, etc.).
Core Data Foundations: Deep understanding of advanced ETL/ELT concepts, complex data modeling, and performance-tuning SQL.
Orchestration: Expert-level experience with workflow orchestration tools such as Airflow.
Leadership: Proven track record of leading technical initiatives, making architectural decisions, and mentoring teams in an agile, fast-moving environment.
Nice to have:
Experience with Snowflake or other modern cloud data warehouses.
Deep exposure to streaming or real-time event processing (Kafka, Flink, Kinesis, etc.).
Experience utilizing AI for automated data observability, anomaly detection, or data quality tooling.
Background in ad tech, measurement, attribution modeling, or specialized analytics platforms.
Why DISQO?
Lead the architecture of intelligent data products that directly influence how the world's top brands measure advertising impact.
Work with bleeding-edge data and Gen AI infrastructure at a highly meaningful scale.
Shape the technical culture and elevate a talented engineering organization while owning massive-scale production systems.
Skills Required
- 8+ years of experience building and supporting complex production data pipelines
- Expert-Level Scala & Spark expertise
- Proven experience integrating Generative AI / LLMs into data products
- Proficiency in Python
- Cloud architectural experience within the AWS ecosystem
- Deep understanding of advanced ETL/ELT concepts and SQL
- Expert-level experience with workflow orchestration tools such as Airflow
What the Team is Saying
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.
