Sr Data Engineer

Hybrid – Santa Monica, CA, USA Technology is at the heart of Disney’s past, present, and future. As part of Disney Entertainment and ESPN Product & Technology, you’ll help build and advance the technological backbone for Disney’s media business globally. About the Team The Acquisition Marketing Engineering team owns the ingestion, modeling, and activation of acquisition and lifecycle marketing data across multiple platforms. We build and maintain large‑scale data pipelines that ingest vendor data (paid media, mobile attribution, search, social, display, email, and more), land it in cloud storage, and transform it into analytics‑ready datasets powering acquisition reporting tools, dashboards, and executive insights. You will be a senior member of the engineering team driving multiple transformations end‑to‑end. Role Summary The Senior Data Engineer will design, build, and optimize data pipelines and transformation frameworks that support high‑visibility acquisition reporting and marketing analytics use cases. You will work across AWS, Databricks, Unity Catalog, Snowflake and Airflow to create reliable, scalable solutions for ingesting and modeling marketing platform data. You will collaborate closely with product, analytics, marketing operations, and stakeholder teams to ensure data accuracy, reliability, SLAs, and transparency for downstream dashboards. Key Responsibilities Architect, build, and maintain scalable ETL/ELT pipelines for acquisition reporting using Databricks, PySpark, SQL, and Unity Catalog. Lead the modernization effort to migrate existing Snowflake‑based SQL scripts and transformations into Databricks UC with best practices in governance and structured access. Implement data quality checks, monitoring, and automated remediation using Databricks, Snowflake, Airflow, and internal frameworks. Develop metadata‑driven, parameterized pipeline components to accelerate onboarding of new vendors and datasets. Partner with the Data Reliability Engineering team to integrate SLA‑based incident detection, logging, alerting, and auto‑recovery workflows. Collaborate with analytics and marketing stakeholders to understand reporting needs and ensure reliable dashboard data. Improve pipeline performance, reliability, logging, and observability. Contribute to engineering best practices, code reviews, technical design docs, and framework enhancements. Mentor junior engineers and contribute to team‑wide architectural decisions. Basic Qualifications 5+ years of experience as a Data Engineer or similar role. Strong proficiency in SQL (analytical SQL, complex joins, window functions). Hands‑on experience with PySpark and/or Spark SQL in production. Strong understanding of data modeling, ETL/ELT design patterns, and distributed data processing. Experience building pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns. Strong experience in AWS (S3, IAM, EC2, Glue, Lambda, or related services). Proficiency with Airflow or similar orchestration tools. Experience building robust ingestion pipelines and working with semi‑structured formats (JSON, Parquet, CSV). Experience with Git/GitHub, CI/CD, and modern DevOps practices. Excellent communication skills and ability to work with cross‑functional partners. Bachelor’s degree in computer science, Information Systems or related field. Preferred Qualifications Master’s degree in computer science, Information Systems or related field. Experience with marketing or customer acquisition data (Meta, Google Ads, Google CM360, TikTok, Twitter, Snapchat, Branch, AppsFlyer, Salesforce, etc.). Familiarity with data observability, SLA monitoring, incident workflows, or reliability engineering concepts. Exposure to data quality frameworks (Great Expectations, Deequ, Monte Carlo, or custom frameworks). Compensation & Benefits Hiring range: Santa Monica, CA $141,900–$190,300 per year; New York, NY $148,700–$199,400 per year; Seattle, WA $148,700–$199,400 per year. The base pay offered will consider internal equity and other factors. Bonuses and long‑term incentive units may be part of the compensation package, along with the full range of medical, financial, and other benefits. #J-18808-Ljbffr Dormont Manufacturing Co