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Lead AI and data engineering programs for financial clients, designing scalable GenAI and ML solutions on cloud platforms while managing delivery, governance, and cross-functional teams.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Singulier is seeking a Data Analytics Intern to support strategy and due diligence projects by performing market analysis, data cleaning, and building benchmarks. The role involves using Python, SQL, and Databricks to deliver actionable insights for clients in a fast-paced consulting environment.
Builds and maintains ML-driven bidding systems for Meta/SEM advertising at Expedia Group, focusing on data pipelines, model serving, and production-grade software for travel marketing.
Lead Data Engineer designs and maintains scalable enterprise data platforms, ETL/ELT pipelines, and data warehouses using Databricks, SQL, and Python to enable analytics, automation, and AI-driven insights for global operations.
The Senior Data Engineer will design and maintain master data management processes and build scalable data pipelines using Azure Data Factory, Python, and SQL. The role focuses on data profiling, integration, and ensuring high data quality across various structured and unstructured sources.
Leads Python-based software engineering for JPMorgan’s Credit Data Pond team, designing scalable cloud data platforms (AWS/Databricks/Terraform) to enhance credit risk technology. Focuses on AI-assisted development, secure CI/CD pipelines, and operational stability in fintech.
Build and optimize Power BI reports for hospitality and commercial data, using DAX and semantic modelling to deliver clean, performant dashboards.
Lead the design and delivery of GM Financial’s cloud data analytics platform, building scalable Azure/Databricks pipelines, APIs, and AI-ready data layers to power analytics, ML, and reporting across global markets.
Build and maintain data pipelines and ELT workflows using Airflow, PySpark, Trino, and Snowflake to move and transform data reliably.
Build and optimize scalable backend systems and integrations for Vanguard’s investment platform using Python, AWS, and modern full-stack tools.
Build and optimize AWS-based data pipelines and products using Python, PySpark, and Scala to power CommBank’s Business Banking analytics and AI-driven solutions.
Leads data engineering initiatives for an insurance company, designing and building scalable pipelines on AWS, Databricks, and Snowflake to support AI/ML, analytics, and business intelligence.
Build and maintain ELT pipelines and data models on Databricks to power analytics and reporting for a cloud-based clinical system used by clinicians across the UK and France.
Builds and optimizes scalable data pipelines in PySpark and Databricks to power advanced analytics and AI initiatives for a global consulting firm.
Senior Data Analyst at Mastercard builds and maintains data pipelines, models, and dashboards to drive business insights for global fintech products. Uses SQL, Python, BI tools, and big data platforms to analyze transactional and operational data for revenue optimization, risk assessment, and strategic decision-making.
Build and maintain climate risk data pipelines and models for a major bank, integrating ESG data to support regulatory disclosures and risk metrics.
Develops and maintains financial applications for Citi, analyzing business needs, designing systems, and implementing solutions using Ab Initio and Spark/PySpark to handle high-volume data processing in compliance with regulatory standards.
Builds and maintains data pipelines, integrates financial/operational data, and applies analytics (SQL/Python/Databricks) to support DHS decision-making in financial management and IT programs.
Build and maintain scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to transform raw data into insights for analytics and AI workloads.
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