Engineer Sr., Data

Job Summary

We are looking for a Senior Data Engineer who combines deep technical expertise with strong architectural judgment and leadership influence. This person will design and optimize large-scale data platforms, guide engineering best practices, mentor other data engineers, and help shape the future-state data architecture for analytics, marketing technology, and AI-driven use cases.
The ideal candidate brings hands-on experience with Databricks, Apache Spark, Python, and modern orchestration/ETL tools such as Azure Data Factory (ADF) or Airflow. The ideal candidate should be comfortable working with high-volume, complex datasets, improving performance and cost efficiency, and collaborating across product, analytics, and engineering teams to translate business needs into scalable technical solutions.
Experience supporting or enabling agentic AI workflows is highly valued, and familiarity with the MarTech ecosystem (such as customer activation, audience platforms, personalization, campaign systems, or downstream marketing integrations) is a strong plus.

Job Description

Preferred Qualifications

• Experience building or supporting agentic AI or AI/ML-enabled data workflows.
• Familiarity with LLM-enablement patterns, vector-ready data preparation, prompt/input data orchestration, or event-driven data support for AI agents.
• Experience in the MarTech ecosystem, including customer data platforms, campaign systems, personalization platforms, audience activation, customer behavior data, or marketing analytics pipelines.
• Experience with cloud-native platform services in Azure and enterprise data governance capabilities.
• Experience with streaming/event-based architectures and APIs.
• Familiarity with DevOps/DataOps practices including CI/CD, automated testing, infrastructure-as-code, and monitoring.
• Exposure to privacy-sensitive data domains and secure processing patterns for regulated or customer-related data.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field (or equivalent practical experience).
• 7+ years of experience in data engineering, software engineering, or related technical roles.
• Strong hands-on experience with Databricks in a production environment.
• Strong proficiency in Python and Apache Spark for large-scale data processing.
• Experience with enterprise ETL/orchestration tools such as Azure Data Factory (ADF), Airflow, or similar workflow orchestration platforms.
• Proven experience building and supporting data pipelines for large, complex, high-volume datasets.
• Experience in data optimization, including query tuning, Spark performance tuning, partitioning strategies, job design, cost optimization, and efficient data storage patterns.
• Strong knowledge of modern data architecture concepts including lakehouse/data lake/warehouse patterns, ELT/ETL frameworks, and scalable data platform design.
• Experience with SQL, relational and analytical data modeling, and schema design for downstream consumption.
• Ability to influence technical direction and make sound architecture recommendations across teams.
• Strong communication skills with the ability to explain technical tradeoffs to both engineering and business stakeholders.
• Demonstrated experience mentoring or guiding other engineers in a senior or lead capacity.
• nd PII data sets.

About Us

At Giant Eagle, we believe in nourishing life’s moments, big and small, because they matter. We strive to lead the way in quality, service, and everyday value. Most importantly, the compassion, care, and respect our Team Members show to each other and in our communities is what truly sets us apart. Here, you’ll find a place to win, grow, and be better together. If you want to make a real impact, belong to a supportive community, and build a meaningful career, we invite you to grow your future with us — because you matter.

The hiring range for this position is $1916200.00– $2326825.00 per hour/year. This range represents the anticipated base pay for this role. Actual compensation will be determined based on factors such as experience, skills, education, and location. Eligible employees may be offered health, vision, and dental insurance, personal/sick paid time, 401(k) retirement savings plan, bonus potential, paid bereavement, vacation and paid holidays.