Associate Data Engineer

Associate Data Engineer

Hybrid Role

Compensation: $32-$35 per hour

Our client is seeking a Data Engineer to design, implement, and support analytics solutions that drive actionable business insights and informed decision-making. In this role, you will work closely with source data application teams and product owners to deliver robust data migration and engineering solutions leveraging Microsoft Azure products and services—including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, and Azure Databricks—as well as traditional data warehouse tools.

You will be responsible for the full development lifecycle, from design and cloud engineering (infrastructure, network, security, and administration) to data ingestion, modeling, testing, CICD pipelines, performance tuning, deployment, BI, alerting, and production support. The ideal candidate is a strong technical problem-solver who thrives in both collaborative and independent settings, adheres to coding standards and security guidelines, and is comfortable working in agile and Dev Ops environments.

This is an excellent opportunity to be part of a multi-functional team that fully owns and supports its products.

• Work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide actionable business insights
• Implement data migration and engineering solutions using Microsoft Azure products and services (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks) and traditional data warehouse tools
• Manage all aspects of the development lifecycle, including design, cloud engineering (infrastructure, network, security, administration), data ingestion, preparation, modeling, testing, CICD pipelines, performance tuning, deployment, BI, alerting, and production support
• Develop technical solutions and collaborate within a team environment, while also demonstrating the ability to work independently
• Participate as a member of a Dev Ops team with full product ownership and support responsibilities
• Follow coding standards, best practices, and privacy and security guidelines to ensure high-quality, compliant solutions
• Contribute as part of a multi-functional team with diverse technical and domain expertise

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Engineering, or a related technical discipline, or equivalent experience/training
• 1+ years of experience building data solutions using agile and Dev Ops practices
• 1+ years of data analytics experience using SQL
• 1+ years of experience with cloud technologies, especially Microsoft Azure
• Experience implementing data migration and engineering solutions with Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, or similar tools
• Proficiency in SQL, Python, and Spark
• Experience with software solution development using agile and Dev Ops practices
• Expertise with cloud-based technology stacks for data management, ingestion, curation, and consumption layers
• Ability to work collaboratively within a team and independently
• Familiarity with coding standards, best practices, and privacy/security guidelines
• Azure Databricks Certification (preferred)
• 2+ years of software solution development using agile and Dev Ops practices (preferred)
• 2+ years of data analytics experience using SQL (preferred)
• 2+ years of experience with SQL, Python, and Spark (preferred)