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DISQO

Staff Data Engineer

Los Angeles, CA $210K–$230K Posted 2026-05-05
Salary
$210K–$230K
Type
Full-time
Experience
8+ yr
Source
Lever
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.

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.
 
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
·Catered lunch and fully stocked kitchen
·Paid Maternity/Paternity leave
·Disability Insurance
·Travel Assistance Program
·24/7 Counseling Services offered to Employees
 
Note: The benefits noted above are for full time US based employees only.
 
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.

• 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.
• 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.
• 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.
• 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.
ScalaSparkPythonAWSAirflowSnowflake
DISQO is hiring for the staff data engineer role. NewJob aggregates active openings directly from DISQO's applicant tracking system, so this listing is current. More jobs at DISQO →
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