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Build and maintain scalable data models and ETL/ELT pipelines, monitor data platforms, and ensure data quality for analysts and data scientists in a banking environment.
Designs and maintains BI reports/dashboards in Tableau and SSRS, writes complex SQL, and partners with teams to turn energy-market data into actionable insights for Tenaska’s commercial operations.
Design and optimize SQL Server databases and Python-based ETL pipelines for a large bank, troubleshooting production issues and ensuring compliance with security and AML standards.
Build AI-ready data pipelines and dimensional models for a logistics unicorn, enabling ML and GenAI features while partnering with product and data science teams.
Senior BI Engineer Location: EMEA Department: Pleased Product About the role We are looking for a Senior BI Engineer to design, build and maintain our business intelligence platform. You will be responsible for…
Senior Data Engineer to migrate a retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Senior Data Engineer maintains and optimizes Oracle databases, builds scalable data pipelines, and ensures high availability and performance for analytics and applications.
Build and own Snowflake-based data pipelines and platform primitives for a SaaS edtech company, setting engineering standards and making data AI-ready.
Build and maintain scalable data infrastructure, pipelines, and AI-powered analytics for a media company’s audience, product, and commercial systems using SQL, Spark, Python/Scala.
Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to…
Lead the design and build of SimplePractice’s data infrastructure—pipelines, warehousing, and semantic layers—to power analytics, reporting, and AI across the company and for clinicians.
Build and optimize data pipelines, warehouses, and feature stores to power AI-driven CRM products, using SQL, Python, Spark, and Airflow at Salesforce scale.
Build and maintain the core data models and metrics for Polymarket’s prediction trading platform, turning raw on-chain and off-chain data into trusted, self-serve insights for growth, finance, and operations.
Build and maintain AWS-based ETL pipelines (Glue/PySpark, Iceberg, Step Functions) and create Amazon QuickSight dashboards to deliver healthcare analytics for operational and strategic decisions.
Build and maintain Tableau and Amazon QuickSight dashboards that turn healthcare data into clear, actionable insights for internal stakeholders, using SQL and AWS-based analytics.
Build and ship predictive models and experiments to improve customer acquisition, retention, and financial advice at a fintech app that helps everyday Americans invest and build wealth.
Designs and implements enterprise-scale data models, warehouses, and cloud pipelines to support analytics and business intelligence, using SQL, Azure, and ETL tools.
Build and maintain QlikView dashboards and reports for fund accounting, integrating SQL data sources and optimizing complex data models to support financial decision-making.
Build and maintain QlikView dashboards and reports for fund accounting, integrating SQL data sources to enable data-driven decisions in a private equity fund administration context.
Owns data-centric product requirements for a healthcare tech platform, turning business needs into SQL-backed specs, acceptance criteria, and delivery plans while collaborating with engineering, QA, and stakeholders.
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