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Data Engineer
Data EngineerInteractive Resources - iR • Tempe, AZ, United States
Data Engineer

Data Engineer

Interactive Resources - iR • Tempe, AZ, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

About the Role

We are seeking a highly skilled Databricks Data Engineer with strong expertise in modern data engineering, Azure cloud technologies, and Lakehouse architectures. This role is ideal for someone who thrives in dynamic environments, enjoys solving complex data challenges, and can lead end-to-end delivery of scalable data solutions.

What We're Looking For

  • 8+ years designing and delivering scalable data pipelines in modern data platforms
  • Deep experience in data engineering, data warehousing, and enterprise-grade solution delivery
  • Ability to lead cross-functional initiatives in matrixed teams
  • Advanced skills in SQL, Python , and ETL / ELT development , including performance tuning
  • Hands-on experience with Azure , Snowflake , and Databricks , including system integrations

Key Responsibilities

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform
  • Modernize and enhance cloud-based data ecosystems on Azure , contributing to architecture, modeling, security, and CI / CD
  • Use Apache Airflow and similar tools for workflow automation and orchestration
  • Work with financial or regulated datasets while ensuring strong compliance and governance
  • Drive best practices in data quality, lineage, cataloging, and metadata management

    • Primary Technical Skills

  • Develop and optimize ETL / ELT pipelines using Python, PySpark, Spark SQL , and Databricks Notebooks
  • Design efficient Delta Lake models for reliability and performance
  • Implement and manage Unity Catalog for governance, RBAC, lineage, and secure data sharing
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources , and MDM systems
  • Automate ingestion and workflows using Python and REST APIs
  • Support downstream analytics for BI, data science, and application workloads
  • Write optimized SQL / T-SQL queries, stored procedures, and curated datasets
  • Automate DevOps workflows, testing pipelines, and workspace configurations

    • Additional Skills

  • Azure : Data Factory, Data Lake, Key Vault, Logic Apps, Functions
  • CI / CD : Azure DevOps
  • Orchestration : Apache Airflow (plus)
  • Streaming : Delta Live Tables
  • MDM : Profisee (nice-to-have)
  • Databases : SQL Server, Cosmos DB

    • Soft Skills

  • Strong analytical and problem-solving mindset
  • Excellent communication and cross-team collaboration
  • Detail-oriented with a high sense of ownership and accountability
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