Senior Data Engineer, Agentic AI

Light & Wonder • Austin, TX

4d • Onsite

About The Position

We are building a tight-knit, senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation at Light & Wonder. Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business. We will operate like a high-functioning startup within the enterprise: we favor shipping over process, rigorous evaluation over opinions, and strategic platform investments that make every subsequent deployment faster. We are leaning heavily into the modern Microsoft ecosystem, anchoring our architecture on the newly GA Microsoft Agent Framework (.NET), Azure OpenAI, and an advanced data backend powered by Snowflake, Databricks, and Microsoft Fabric. If you want to build resilient, multi-agent systems at enterprise scale, this is the team.

Data engineering for Agentic AI requires a fundamental shift in mindset: your primary consumers are no longer human analysts reading dashboards, but autonomous agents making real-time decisions. As a Senior Data Engineer, you will design and build the robust, high-performance data surfaces, including APIs, semantic layers, and strongly typed contracts, that our multi-agent workflows rely on. Leveraging Snowflake, Databricks, and Microsoft Fabric, you will go beyond standard ingestion and transformation. You will treat data quality, strict access scoping, and latency as critical production signals. You are responsible for ensuring that the foundation of our AI systems is fresh, secure, and structurally sound, preventing silent failures and enabling true, scalable enterprise automation.

Requirements

• 6+ years of data engineering experience, including at least 2 years on a cloud lakehouse or warehouse (Snowflake, Databricks, BigQuery, Redshift).
• Advanced SQL and strong Python (or Scala); comfortable writing production-grade ETL/ELT.
• Experience processing and transforming unstructured data (documents, text, logs) for AI consumption, including an understanding of chunking strategies and embedding models.
• Experience with orchestration (Airflow, dbt, Dagster, ADF) and batch + streaming patterns.
• Strong grasp of data modeling - dimensional, Data Vault, or entity-centric - and when each applies.
• Experience exposing data to downstream consumers via APIs or semantic layers.

Nice To Haves

• Hands-on experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence).
• Experience building vector stores, retrieval systems, or RAG pipelines in production.
• Familiarity with data contracts, data quality tooling (Great Expectations, Soda, Monte Carlo), and data catalogs (Purview, Collibra, Unity).
• Prior work in regulated environments (gaming, finance, healthcare) with PII and access-control requirements.
• Experience with change-data-capture and streaming ingestion (Event Hubs, Kafka, Debezium).

Responsibilities

• Design and construct ingestion, transformation, and serving layers utilizing Snowflake, Databricks, and Microsoft Fabric.
• Model and expose strictly contracted, agent-consumable data surfaces, including APIs and semantic layers.
• Instrument data quality as a first-class production signal to dynamically monitor freshness, completeness, and drift.
• Partner closely with workflow engineers to optimize data abstractions and ensure highly efficient agent consumption.
• Manage lineage and documentation to guarantee published data products are highly discoverable and safe to consume.
• Collaborate with Security and Data Governance on data classification, masking, and Data Loss Prevention (DLP) strategies.
• Build shared platform components, including scalable connectors, transformation libraries, and testing harnesses.

Benefits

• The company creates immersive content that forges lasting connections with players, wherever they choose to engage.
• The Company is committed to the highest standards of integrity, from promoting player responsibility to implementing sustainable practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree