Azure Stream Analytics Developer Jobs

1 job found

2d ago

Senior Data Engineer

firstPROPhiladelphia Philadelphia, PA

Philadelphia, PA

2d ago

$60 - $70/hr Contract Senior Analytics Automation

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Job Description

The contract-to-hire Senior Data Engineer focuses on real-time streaming data pipelines for connected medical devices, operating in a hybrid environment in Philadelphia. The role leverages Azure Databricks, Azure services, and ML/AI data workflows. Compensation ranges from USD 60 to 70 per hour.

Responsibilities

Design and implement batch and streaming data pipelines on Azure and Databricks, with emphasis on real-time IoT telemetry within a Medallion architecture.
Create ETL/ELT workflows to ingest, transform, and validate large volumes of structured and unstructured data.
Develop and maintain data services, APIs, and microservices for application, analytics, and ML/AI teams.
Deploy real-time streaming solutions using Azure Event Hubs, Azure Stream Analytics, and related Azure integration patterns, focusing on cost-effective throughput, proper partitioning, and downstream delivery to Databricks.
Optimize production Databricks pipelines with PySpark, Spark SQL, and Delta Lake, including tuning for performance, reliability, and cost.
Troubleshoot and resolve complex pipeline issues across Databricks, Azure, and on-premises systems, including 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 software engineering standards, documentation, testing, and CI/CD.

Requirements

Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field with 6+ years of professional experience in data engineering, analytics, or warehousing; or Master's degree in a related field with 3+ years of experience.
5+ years designing, building, and operating big data and real-time streaming pipelines across cloud and on-premises 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.
Strong hands-on experience designing and building production-grade data pipelines on Databricks.
Demonstrated experience with Spark optimization and tuning in Databricks, including performance analysis, partitioning strategies, caching, shuffle optimization, and cost-aware pipeline design.
Strong experience with Azure cloud services for data engineering and streaming workloads.
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 data pipelines.
Stand up Azure streaming ingestion for telemetry data and deliver production-ready pipelines integrated with Databricks to support API, ML, and downstream analytics consumption 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

Willingness to assist in troubleshooting and analysis during off-hours production issues as needed.
The IT team operates in a hybrid environment requiring a minimum of two days per week in the downtown Philadelphia office.

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