Data Engineer III

McDonald's Corporation • Chicago, IL

1d • $138,207 - $172,758

About The Position

McDonald’s is seeking a hands-on Data Engineer III for the mCDP mParticle engineering team. The role designs, develops, and maintains customer data pipelines, audience-building capabilities, activation feeds, and platform integrations that support customer engagement across digital and restaurant channels. The engineer independently owns initiatives from requirements through production deployment, partnering with Product, MarTech, Analytics, and Engineering teams to turn business requirements into scalable, reliable, high-quality, maintainable technical solutions.

The position focuses on customer data ingestion, transformation, enrichment, distribution, audience segmentation, customer traits, profile enrichment, activation use cases, and real-time processing. It also supports new data source onboarding, downstream integrations, event-driven systems, data quality, documentation, and operational excellence. The engineer is expected to deliver complex work with minimal supervision and contribute to design, testing, deployment, code reviews, and engineering practices.

Requirements

• 5–8+ years of professional Data Engineering experience.
• 3+ years working with cloud-native data platforms on GCP, AWS, or Azure.
• Expert-level SQL, including complex joins, window functions, optimization, and large-scale data analysis.
• Strong experience designing and developing ETL/ELT pipelines.
• Strong knowledge of programming languages such as Python, SQL, JavaScript, or Node.js.
• Experience with DevOps and reliability practices, including CI/CD pipelines and Git-based development workflows.
• Experience with streaming and data processing technologies such as Kafka, Spark/PySpark, Flink, Dataflow, or Apache Beam.
• Experience supporting customer data platforms such as mParticle, Segment, Adobe RTCDP, Braze, Tealium, or similar platforms.
• Experience implementing customer attributes, audience segmentation, identity resolution, traits, and activation feeds.

Nice To Haves

• Experience with GCP, including BigQuery, Pub/Sub, Dataflow, Cloud Run, or Cloud Storage.

Responsibilities

• Design, develop, test, and support customer data pipelines that ingest, transform, enrich, and distribute data across the mParticle ecosystem.
• Support onboarding of data sources, attributes, customer events, and downstream activation integrations.
• Build and maintain pipelines for audience segmentation, customer traits, profile enrichment, and activation use cases.
• Implement audience qualification and refresh logic for batch and real-time use cases.
• Configure and support activation feeds to downstream marketing and personalization platforms, ensuring data accuracy and timeliness.
• Partner with Product and MarTech teams to implement audience strategies for onboarding, re-engagement, loyalty, churn mitigation, and personalization.
• Build scalable solutions using distributed processing technologies such as Kafka, Spark Structured Streaming, Flink, or Dataflow.
• Support event-driven integration patterns for low-latency customer activation and personalization.
• Assist with implementation and maintenance of eventing platforms such as Kafka, Confluent, or managed messaging services.
• Implement automated validation, reconciliation, and quality checks across customer data pipelines.
• Maintain documentation for data flows, mappings, business logic, and operational procedures.
• Independently manage and deliver complex engineering work items with minimal supervision.
• Collaborate on sprint planning, solution design, testing, and deployment activities.
• Perform code reviews and contribute to engineering best practices.

Benefits

• Comprehensive health insurance, including medical, prescription drug, mental health, dental, and vision coverage.
• Life insurance.
• Bonus eligibility based on individual and company performance.
• Eligibility for stock or other equity grants under McDonald’s long-term incentive plan.
• Sabbatical program.
• Tuition assistance.
• Flexible work arrangements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed