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Senior Analyst builds and maintains healthcare claims data products using SQL, Python, and Spark to deliver insights for pricing, compliance, and pharmacy savings in a fully remote role.
Design and deploy scalable data and analytics products for Unilever's Customer Operations, bridging business strategy with enterprise data platforms and AI/ML capabilities using SQL, Python, PySpark, Azure, and visualization tools like Power BI and Tableau.
Designs and validates data models and pipelines for a large Canadian bank, translating business needs into technical specs and ensuring data integrity across Azure-based systems.
Early-career Data Engineer building scientific data products and scalable data pipelines using Databricks, SQL, Python, and AWS to support AI/ML and analytics across pharmaceutical product development in Hyderabad.
Lead Software Engineer responsible for designing, implementing, and supporting Oracle Essbase-based enterprise financial forecasting and planning solutions, with ETL work using Python and PySpark.
Senior Data Scientist at Barclays applying statistical analysis, machine learning, and AI on large datasets using Python, SQL, and Pyspark to generate strategic business insights and build predictive models.
Build and deploy ML, graph, and deep-learning models to solve complex banking problems, turning data into actionable strategies for BBVA’s global operations.
Design and deliver Power BI analytics solutions using Databricks SQL, partnering with business teams at Cineplex to build dashboards, optimize reporting, and drive data-informed decision-making.
Hands-on lead engineer building scalable data and cloud solutions for regulatory model applications using PySpark/Python, Databricks, and AWS on cross-functional teams at JPMorgan Chase.
Lead quality engineer for data warehouse testing and automation within PNC's Enterprise Data Analytics team, focused on SQL/HQL, Python, AWS, and ETL validation in Pittsburgh or Cleveland.
The Senior Data Engineer will design and build data pipelines and data models to measure marketing campaign performance and spend. The role involves collaborating with cross-functional teams to implement ETL strategies and data quality checks using technologies like Python, SQL, Databricks, and AWS.
The Senior CE Data Engineer builds and maintains secure, scalable data pipelines on Databricks within a healthcare-regulated environment. The role focuses on implementing medallion architectures, data contracts, and PHI isolation controls to support AI-ready data products.
Design, develop, deploy, and maintain AI/ML models on AWS GovCloud using SageMaker, Databricks, PySpark, and Delta Lake for federal government programs, ensuring compliance with NIST AI RMF, EO 14110, and FedRAMP standards.
The Quality Engineer Lead will develop and execute test strategies for enterprise data warehouse and decision-support systems. The role involves managing data quality, ETL testing, and collaborating with stakeholders using technologies like SQL, HQL, Python, AWS, and Hadoop.
About Us: Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer…
Le Big Data est aujourd’hui au cœur de la transformation digitale des entreprises. Chez nous, il ne s’agit pas seulement de technologie, mais d’un véritable levier de création de valeur pour nos clients. Vous êtes…
Designs and maintains scalable data pipelines, ETL/ELT processes, and analytics solutions using Databricks, Spark, dbt, and Power BI to support business intelligence and stakeholder collaboration.
Azure Data Engineer on a 6+ month contract designing, building, and optimizing ETL/ELT data pipelines and analytics solutions using Databricks, dbt, Apache Spark, Python, Azure Data Factory, SQL Server, and Power BI.
Hands-on Data Engineer designing and building modern data platforms using Databricks, Microsoft Fabric, and Azure, developing data pipelines and models with Python, SQL, and Spark/PySpark across multiple client environments.
Senior ML Engineer leads end-to-end production ML systems for Amperity’s AI-first customer data platform, focusing on identity resolution, segmentation, and predictive modeling at scale. Owns architecture, deployment pipelines, and MLOps tooling while collaborating with cross-functional teams to deliver measurable business impact.
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