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Staff Data Engineer
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Junior DevSecOps Engineer
Build and operate secure, self-service Kubernetes platforms in Azure using Terraform and GitOps, enforcing zero-trust and supply-chain integrity while enabling AI workloads.
Data Analytics & Management, SrAssc
Build and maintain scalable data pipelines and analytical datasets for financial reference data using Snowflake, Databricks, Spark, and Iceberg, ensuring trusted, production-grade data products.
AWS Data Engineer
Builds and maintains AWS-based data pipelines for financial data using PySpark, AWS Glue, and serverless tools, while ensuring governance and performance.
AWS Data Engineer
Design and build an AWS-based data lake and lakehouse, including ingestion pipelines, transformations, and governance, using Glue, Redshift, Lambda, and Lake Formation.
Płatne praktyki | Data Engineer / Data Analyst
Internship role assisting with cloud data projects, ETL pipelines, SQL queries, and ML/AI solutions using Databricks, Snowflake, and MS Fabric.
Senior Data Architect
Design and evolve cloud-scale data platforms for industrial IoT, building high-volume systems that ingest and serve telematics data from energy assets like generators and microgrids.
SSM Global COE – Mexico Reporting Hub Senior Data Engineer
Build and maintain GM’s global sales reporting hub on Databricks, unifying vehicle sales data into interactive dashboards and AI-driven insights to track the funnel from customer traffic to delivery.
TECH LEAD - DATA & AI ARCHITECT
Lead the design and evolution of enterprise-scale data and AI architectures for large corporations, guiding cloud-based analytics and generative AI solutions across Azure, AWS, and GCP.
Data Engineering Manager
Lead a team of data engineers to build and maintain Sidley’s enterprise Databricks Lakehouse platform, setting technical standards and ensuring scalable, governed data solutions using PySpark, Delta Lake, and Azure Databricks.
Enterprise Data Architect Consultant
Design and build a scalable enterprise data Lakehouse, integrating systems and setting data governance standards to drive analytics and business decisions.
Senior Data Engineer
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
Enterprise Data Architect
Designs and governs Masco’s enterprise data model and master data foundations for POS and retail analytics, setting standards for modeling, attribution, and data quality to build an AI-ready foundation.
Enterprise Data Architect
Designs and implements enterprise data architecture for a large healthcare system, ensuring secure, interoperable data pipelines and models that support analytics, reporting, and AI-driven patient care improvements.
Solution Architect
Designs and implements scalable Azure and Databricks data platforms for enterprise analytics, integrating batch, streaming, and real-time workloads with PySpark, Delta Lake, and Azure-native services.
Manager
Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists. Job…
Staff Data Engineer
Design and scale cloud-based data pipelines on Databricks and Snowflake, building medallion-architecture datasets for analytics and AI/ML that power Illumina’s genomics and healthcare products.
Lead Business Data Analyst
Lead a federal data modernization effort, bridging business needs with cloud-based analytics, AI/ML, and reporting for the US court system.
Lead Data Engineer
Lead a team building secure, cloud-based data pipelines and platforms for a federal judiciary modernization program, using SQL, Python, and AWS services to support analytics and AI/ML workloads.
Business Data Analyst
Bridge between federal stakeholders and technical teams to define, document, and govern data requirements for a cloud-based case management system serving 204+ U.S. federal courts, including analytics and AI/ML capabilities.