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About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Designs and builds secure, scalable data pipelines and analytics platforms for federal clients using AWS, Python, Spark, and modern data tools while ensuring compliance with FedRAMP and NIST controls.
Designs and builds scalable data pipelines and cloud-native analytics platforms for federal clients using Python, Spark, AWS services, and modern data formats, while ensuring compliance with FedRAMP and NIST security controls.
Designs and scales high-throughput, secure data platforms for defense/intel use cases, using Spark, Kafka, Kubernetes, and multi-cloud IaC while ensuring compliance and mentoring teams.
Builds and maintains data pipelines, migrating systems to a new framework while ensuring data quality, integrity, and reliability using Python, Java, Kafka, Airflow, and cloud storage solutions.
Senior Data Engineer building big data pipelines and a Data Lakehouse using Python, PySpark, Apache Airflow, and cloud platforms to support marketing analytics, campaign execution, and AI applications.
Position - BI / Data Architect Experience - 12 Years Location - Remote Type - Full Time Job Description Must Have Technical/Functional Skills Apache Iceberg, Spark, Flink, Kafka, dbt, Trino, Snowflake, Databricks AWS,…
Senior Business Analyst at Coupang’s Rocket Growth Finance team, analyzing ecommerce logistics KPIs, building data pipelines, and advising business leaders using SQL, BI tools, and Python.
Senior Business Analyst at Coupang’s Rocket Growth team, driving ecommerce logistics growth by analyzing sales, profitability, and operational KPIs using SQL, BI tools, and automation to inform executive decisions.
Разрабатывает и оптимизирует ETL-процессы для передачи данных между системами на базе Hadoop, GreenPlum, PostgreSQL и Kafka, а также участвует в доработке сервиса, включая требования к UI и AI-системе.
Leads data platform reliability and performance as an SRE for a sovereign wealth fund, focusing on automation, monitoring, and secure DevSecOps practices for enterprise data infrastructure.
This role involves developing high-quality backend components and distributed filesystems for Salesforce's cloud platform. The engineer will work with Java, Python, and various cloud infrastructure technologies to build scalable, multi-tenant SaaS solutions.
The Data Engineer will design, develop, and maintain scalable data pipelines to support Financial Crime Risk and Corporate Tech platforms. The role involves working with AWS cloud services, Python, and SQL to ensure high-quality data ingestion and operational stability.
Builds cloud-native data platforms and analytical applications for genomic data at petabyte scale, turning statistical genetics methods into scalable, high-performance commercial products. Bridges bioinformatics scientists, cloud engineers, and product teams to deliver APIs, UIs, and interactive query interfaces for population-scale health research.
This role involves architecting and building high-performance data pipelines and intelligent APIs to process massive-scale market risk analytics. The developer will work with Apache Spark, OLAP engines, and NLP to provide actionable insights for senior stakeholders in the financial sector.
Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there…
Owns and develops Python-based banking applications for risk/control data, ensuring compliance, security, and performance while bridging business and technical teams.
The Application Owner/Python Developer will manage the lifecycle of business-critical banking applications, bridging the gap between stakeholders and technical teams. The role involves designing and maintaining Python-based applications using Django, Linux, and enterprise database technologies.
Lead Data Engineer designing, building, and scaling data pipelines, APIs, and AI-ready data solutions for Fitch Group’s financial services platform. Focuses on cloud (AWS), data governance, and AI/ML tooling (LLMs, RAG, vector databases) to empower business decisions.
Build and scale Stripe’s core data pipelines and warehouses that power payments, risk, and product analytics using distributed systems like Spark, Flink, and Kafka.
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