Sr. Data Engineer

Job Description

Toast is recruiting on behalf of this company for a Senior Data Engineer based in Scottsdale, Arizona. This hybrid role offers the opportunity to join a mission-driven team building technology to transform workforce travel for the better. The company is a growing digital platform reimagining crew travel management through data-driven, scalable solutions.

As a Senior Data Engineer, you’ll play a central role in shaping a modern, cloud-native data ecosystem that supports innovation, real-time decision-making, and self-serve access across internal and external teams. The ideal candidate is passionate about clean architecture, performance optimization, and building data as a product.

This is an excellent opportunity for a collaborative engineer who values impact, scalability, and mentorship in a supportive and inclusive team environment. This is a hybrid position with 4 days in office and 1 day remote located in Scottsdale, Arizona
 

Responsibilities

Data Architecture & Engineering

• Design and develop a scalable, microservices-aligned data platform in a cloud-native environment
• Build both real-time and batch data pipelines to power analytics and decision support tools
• Implement diverse storage strategies using SQL, NoSQL, and hybrid models

Data as a Product

• Develop secure, well-documented data APIs to enable self-service access
• Partner with product and business teams to design high-value data products
• Ensure data lineage, quality, and governance across pipelines and storage systems

Microservices Integration & Performance

• Build event-driven systems using tools like Kafka, Azure Event Hub, or Service Bus
• Design efficient ETL/ELT processes for scalable data ingestion and transformation
• Optimize data infrastructure for performance, including indexing and caching

Governance, Security & Compliance

• Apply privacy, security, and compliance standards across all data initiatives
• Implement monitoring and observability to maintain robust data operations
• Integrate with DevSecOps teams to embed security into development workflows

 

Requirements

Must-Haves

• 5+ years in data engineering, ideally with experience in Data Mesh or data product strategies
• Proficiency in building and managing data pipelines across various architectures
• Expertise in modern storage and processing: SQL, NoSQL (e.g., Cosmos DB, PostgreSQL), Azure Data Lake, Delta Lake, Apache Iceberg
• Strong knowledge of ETL tools like Kafka, Airflow, Flink, Spark, Azure Data Factory, Databricks
• Experience with event-driven architectures and containerized environments (e.g., Azure Service Bus, AWS ECS)
• Familiarity with modern data platforms such as Azure Fabric, Databricks, Snowflake, Apache Hudi
• Advanced API development using GraphQL, REST, or gRPC
• Strong programming skills in Go, Java, and/or Python
• Understanding of data governance tools (e.g., Microsoft Purview, Apache Ranger, OpenLineage)
• Experience with Infrastructure as Code using Bicep, Terraform, or CloudFormation

Nice to Have

• Exposure to ML and AI workflows using Azure Machine Learning or Databricks ML
• Familiarity with Jupyter, Synapse, or Databricks notebooks
• Knowledge of real-time streaming architectures
• Experience with federated data governance or self-serve data platforms
• Understanding of data monetization or analytics strategies

 

Benefits

 

• Competitive base salary
• Share Appreciation Rights program for salaried employees
• Paid vacation and sick leave
• 401K matching program
• Comprehensive health benefits with cost-sharing
• Hotel and travel discounts
• Charitable donation matching program
• Career growth support and development opportunities
• A values-driven, inclusive team culture committed to innovation and impact