Data Engineer – Azure / Databricks

generis Tek • Bellevue, WA

14h • Hybrid

About The Position

We have a Contract role for a Data Engineer specializing in Azure and Databricks, located in Bellevue, WA. This is a hybrid role with a duration of 12 months, offering a contract-to-hire opportunity. The position involves designing and developing enterprise-scale data engineering solutions, working with Databricks and Apache Spark for large-scale data processing, and leveraging Microsoft Azure data platforms and services. The role also requires experience with Delta Lake architectures, MS Fabric, strong SQL skills, and designing/supporting ETL/ELT pipelines. Understanding of modern data architecture, data modeling, data quality, and data integration patterns is essential. Experience supporting analytical and reporting solutions, including Power BI, and the ability to translate business objectives into technical requirements are key aspects of this position.

Requirements

• Strong hands-on experience designing and developing enterprise-scale data engineering solutions
• Hands-on experience with Databricks and Apache Spark for large-scale data processing
• Strong experience with MS Azure data platforms and services
• Hands-on experience designing and working with Delta Lake architectures
• Hands-on experience with MS Fabric and/or modern MS analytics environments
• Strong SQL skills
• Hands-on experience designing and supporting ETL/ELT pipelines across multiple enterprise data sources
• Experience working with structured, semi-structured, and distributed datasets
• Understanding of modern data architecture, data modeling, data quality, and data integration patterns
• Experience supporting analytical and reporting solutions, including Power BI
• Ability to evaluate technical alternatives and make recommendations based on business requirements, scalability, maintainability, performance, and cost
• Demonstrated ability to translate business objectives into technical requirements and implementation plans
• Strong interpersonal skills and demonstrated ability to work effectively as part of a collaborative team
• Enterprise-scale data engineering solutions
• Databricks
• Apache Spark

Responsibilities

• Designing and developing enterprise-scale data engineering solutions
• Working with Databricks and Apache Spark for large-scale data processing
• Utilizing Microsoft Azure data platforms and services
• Designing and working with Delta Lake architectures
• Working with MS Fabric and/or modern MS analytics environments
• Designing and supporting ETL/ELT pipelines across multiple enterprise data sources
• Supporting analytical and reporting solutions, including Power BI
• Evaluating technical alternatives and making recommendations based on business requirements, scalability, maintainability, performance, and cost
• Translating business objectives into technical requirements and implementation plans

What This Job Offers

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