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Designs and delivers large-scale data and ML platforms on Azure Databricks and Azure ML for media workflows, focusing on scalable analytics, audience engagement models, and secure, responsible AI solutions.
Build and migrate scalable data pipelines in Microsoft Fabric and Azure, refactoring pandas logic to PySpark and optimizing Synapse workloads for analytics and reporting.
Build and maintain RethinkFirst’s Microsoft Fabric Lakehouse and Azure Synapse warehouse, designing scalable pipelines, dimensional models, and ETL/ELT workflows using SQL, Python, and C# to deliver reliable, secure data for analytics and BI.
Designs and builds secure, cloud-native data platforms for real-time and batch analytics, using Azure/AWS services, Kafka, Spark, and lakehouse patterns to support national security missions.
Lead a team to design, scale, and optimize a large data platform while keeping it AI/ML-ready; 60% hands-on architecture and 40% strategy and people management.
Build and maintain scalable Azure data pipelines and Lakehouse architectures to ingest, process, and model structured and unstructured data for analytics and mission-driven projects.
Build and maintain Power BI dashboards and data models to deliver business insights, using DAX, Power Query, and SQL against enterprise data sources.
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of…
Design and maintain enterprise-scale data pipelines using Azure Data Factory, Databricks, and DBT to ingest and transform structured and unstructured data for analytics and business intelligence at PepsiCo.
Designs and maintains Azure cloud infrastructure for a beauty company’s enterprise systems, provides frontline IT support in the New York office, and ensures secure, scalable cloud operations.
Build and maintain cloud-based data pipelines and warehouses for a quality intelligence platform, using Redshift, dbt, Airflow, and AWS S3/IAM.
Principal Software Engineer leads a team building Microsoft’s next-gen data integration service (Azure Data Factory, Power Query) that moves large volumes of data with low latency while mentoring engineers and shaping product vision.
Designs and maintains cloud-based data pipelines and lakes on Databricks/Azure, building scalable ETL/ELT workflows and governance for enterprise analytics and AI solutions.
Sell Microsoft’s data, analytics, and AI solutions to enterprises, building pipelines by consulting with CIOs/CDOs and closing complex consulting deals.
Build and maintain Greystar’s Databricks-native data platform on Azure, administering Unity Catalog, optimizing Spark jobs, and enforcing medallion architecture standards for reliable, cost-efficient enterprise analytics.
Lead data warehouse migrations and reporting platform transitions for a mortgage lender, coordinating between business stakeholders and technical teams to deliver cloud-based solutions on time and within compliance.
Designs, builds, and maintains data pipelines and ETL processes on Microsoft Azure and Databricks to move, transform, and ensure quality of large datasets for analytics and reporting.
Senior Analytics Engineer builds and optimizes a cloud-based data platform using Azure, SQL, ETL/ELT pipelines, and Power BI to deliver scalable analytics solutions.
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Delta Lake, while coaching a global data engineering team to enable AI and analytics at enterprise scale.
Lead the design and governance of real-time and event-driven data architectures using Kafka and Azure services, partnering with engineering teams to build scalable, secure financial data solutions.
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