Senior Azure Data Engineer

3 days ago

Scottsdale, AZ, United States Motion Recruitment Full time

A fast-growing and innovative workforce travel technology company based in Scottsdale, Arizona is seeking a highly skilled Senior Data Engineer to join our expanding Data Platform & Engineering team.
This hybrid role includes regular in-office collaboration with up to 20% flexibility to work from home.
We're looking for an experienced data engineer with a passion for building scalable, real-time data solutions that support product innovation and data-driven decision-making across the organization. Qualifications:

  • Hold a bachelor's degree in computer science, Information Systems, or a related field.
  • Bring 5+ years of hands-on experience in data engineering or a closely related role.
  • Experienced in designing and maintaining real-time and batch data pipelines using modern ETL/ELT frameworks.
  • Deep knowledge of SQL, NoSQL, and hybrid data storage solutions, including PostgreSQL, Cosmos DB, and Data Lakes (e.g., Azure Data Lake, Delta Lake, Iceberg).
  • Strong proficiency in Python, Java, and/or Go for data pipeline and API development.
  • Skilled in working with event-driven architectures, including Azure Event Hub, Service Bus, and Kafka.
  • Experience with API development (REST, GraphQL, gRPC) to support Data-as-a-Product initiatives.
  • Comfortable working with Azure and Apache data platforms (e.g., Databricks, Azure Fabric, Snowflake, Apache Hudi).
  • Understanding of data governance, lineage, and compliance using tools like Microsoft Purview, OpenLineage, or Apache Ranger.
  • Familiarity with Infrastructure as Code (IaC) practices using Bicep, Terraform, or CloudFormation.
Nice to Have:
  • Experience supporting machine learning workflows with Azure ML, Databricks ML, or MLflow.
  • Hands-on experience with real-time data streaming and notebooks (e.g., Jupyter, Synapse).
  • Knowledge of data monetization and self-serve data platforms.
  • Exposure to federated data governance models.
Daily Duties:
  • Design and build scalable, cloud-native data infrastructure that integrates with microservices.
  • Develop and optimize real-time and batch data pipelines for ingestion, transformation, and delivery.
  • Implement data storage strategies across SQL, NoSQL, and Data Lake technologies.
  • Build and manage secure, documented data APIs that enable self-service access for internal and external users.
  • Collaborate with product and business teams to define and deliver reliable data products.
  • Implement event-driven architectures using Kafka or Azure messaging services.
  • Ensure data quality, security, lineage, and observability across all pipelines.
  • Work with DevSecOps teams to integrate security and compliance into CI/CD workflows.


Posted by: Carter Smith

Specialization :
  • Data Engineering

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