Azure Stream Analytics Engineer Jobs

1 job found

7d ago

Senior Data Engineer

firstPROPhiladelphia Philadelphia, PA

Philadelphia, PA

7d ago

$60 - $70/hr Contract Senior Analytics Automation

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Job Description

firstPROPhiladelphia offers a hybrid contract-to-hire Senior Data Engineer role in Philadelphia. You will focus on real-time streaming data pipelines for connected medical devices, leveraging Azure Databricks, Azure services, and ML/AI data workflows. The position is commissioned at USD 60 to 70 per hour, with a path toward permanent placement through a contract-to-hire arrangement and opportunities to collaborate across data, software, and analytics teams.

Responsibilities

Design, build, and operate batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry within a Medallion architecture.
Develop ETL and ELT workflows to ingest, transform, and validate large volumes of structured and unstructured data.
Build and maintain data services, APIs, and microservices for application, analytics, and ML/AI teams.
Implement real-time streaming solutions using Azure Event Hubs, Azure Stream Analytics, and related Azure integration patterns, prioritizing cost-effective throughput, thoughtful partitioning, and reliable downstream delivery to Databricks.
Optimize production Databricks pipelines with PySpark, Spark SQL, and Delta Lake, including performance tuning, reliability improvements, and cost awareness.
Troubleshoot and resolve complex pipeline issues across Databricks, Azure, and on premise systems, conducting root cause analysis and corrective actions.
Collaborate with data analysts, software engineers, ML engineers, and business stakeholders to translate requirements into technical designs and delivery priorities.
Apply data quality, validation, and privacy-first practices, delivering reliable pipelines through established software engineering standards, documentation, testing, and CI/CD.

Requirements

Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field plus 6+ years of professional data engineering, analytics, or warehousing experience; or Master’s degree with 3+ years of relevant experience.
5+ years designing, building, and operating big data and real-time streaming pipelines across cloud and on-prem environments.
5+ years applying DevOps and CI/CD practices to data and analytics workloads.
Production experience building data services, APIs, or microservices for downstream data consumption.
Hands-on expertise designing and delivering production-grade data pipelines on Databricks.
Proven experience with Spark optimization and tuning in Databricks, including performance analysis, partitioning, caching, shuffle optimization, and cost-aware design.
Strong experience with Azure cloud services for data engineering and streaming workloads.
Experience ensuring data quality, validation, and privacy-aware handling for regulated or sensitive data.

Technologies

Databricks, Spark, PySpark, Spark SQL, Delta Lake
Azure, Azure Event Hubs, Azure Stream Analytics
Azure Databricks, Medallion architecture

Outcomes

Onboard to the Azure Databricks environment and contribute to troubleshooting, stabilization, and optimization of existing batch and streaming pipelines.
Stand up Azure streaming ingestion for telemetry data and deliver production-ready pipelines integrated with Databricks to support API, ML, and downstream analytics within the Medallion architecture.
Design and deliver data services or consumption patterns that enable business and ML teams to access near real-time telemetry data reliably, securely, and at scale.

Work hours and travel requirements

The role requires openness to assisting in off-hours production troubleshooting as needed. The IT team operates in a hybrid environment, with a minimum of two days per week in the downtown Philadelphia office.

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