> Markdown version of [/jobs/ext/4670319-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/4670319-data-engineer-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer III - **Company:** Expedia Inc. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $146,000 - $233,500 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Databases, Extract Transform Load (ETL), Data Systems, Database Design, Amazon DynamoDB, Google Analytics, Marketing Information Systems, Performance Tuning, Standard Sql, SQL Databases, Systems Architecture, Web Analytics, Datadog, Data Processing, Apache Spark, Marketo, Cassandra, Performance Monitor, Apache Kafka, Video Streaming, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Stream Processing, Data Pipelines, Api Management - **Published:** November 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=52bae2bb1fdad97e ## About the Role * Bachelor's degree, or equivalent related professional experience, with 5+ years of experience; or a Master's degree with 3+ years of experience * 5+ years of development experience, particularly in using marketing acquisition technologies to deliver automation of multiple channels and drive operational efficiencies * 4+ years' experience with Java, Scala, or Python stack * Experience building data pipelines from multiple sources including APIs, CSV, event streams, NoSQL, etc. using distributed data frameworks * Experience integrating with advertising platform APIs (for example Google Ads, Microsoft Advertising or Meta Marketing API), including authentication, pagination, rate limits, schema changes and backfills * Familiarity with paid media concepts and metrics (spend, impressions, clicks, CTR, CPC, conversions, ROAS) and with the difference between platform-reported and web analytics (such as GA4) data * Experience with different aspects of data systems including database design, data modeling, performance optimization, SQL etc * Demonstrable history creating on and leveraging AWS * Experience in batch and/or stream processing (using Spark) and streaming systems/queues such as Kafka or SQS * Daily practice of agile methods including use of sprints, backlog, user stories * AWS: EC2, S3, Lambda, DynamoDB, Cassandra, SQL * Spark, Kafka/SQS, Airflow, Iceberg, or other modern big data and streaming technologies Understand, Analyze, design, develop, as well as implement RESTful services and APIs *, * Hands-on experience with paid media reporting across channels (search, social, video, display, programmatic) and cross-LOB performance reporting, including ad spend tracking and campaign performance signals, is a strong plus * Experience with marketing attribution and measurement (multi-touch attribution, marketing mix modeling, incrementality), or with data quality and observability tooling for marketing data, is a plus * Hands-on experience with marketing technology (MarTech) platforms such as Marketo or Salesforce Marketing Cloud (SFMC) is a strong plus, including familiarity with campaign data models, audience segmentation, and marketing API integrations ## Description Digital Operations Supply Marketing (DigOps Engineering) sits at the intersection of supply marketing and engineering, organized into three streams: Data Engineering, Software Engineering, and Innovation. This role sits on Data Engineering, which owns the ETL pipelines moving data to/from Marketo, SFMC, paid media and advertising platforms, and other marketing platforms across our business verticals (Hotels, VR, B2B/Connectivity, OCF), including the paid media reporting pipelines that bring ad spend and performance data into our Partner Marketing Data Store. Software Engineering builds the self-service utilities that let marketers and designers move faster, and Innovation drives new capabilities for the team., Are you a data engineer looking to join a leading technology company? Are you passionate about data and everything it powers? Are you ready to help people travel, go from anywhere to somewhere, by all means possible? If this sounds like you, keep reading!, This role will act as a key technical contributor on the team supporting the continuous improvement of our data pipelines and systems, to empower our marketing team to deliver best in class marketing campaigns. You will focus on paid media data: ingesting, modeling and monitoring ad platform spend, performance and attribution data so marketers can measure and optimize paid campaigns across our business verticals.