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We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
Who We Are: We’re a high-growth software company with a big mission : empowering K-12 district teams to do more with less. At LINQ, we get K12. That’s why we help districts transform K-12 school operations with…
Wage: $18-$20+/hour, depending on performance (with commissions and incentives included). Schedule: Average 20 hours/week. Must be flexible to work assigned schedule Monday through Saturday, between 7 am - 9pm, and…
Builds and maintains the AI and data platform that powers Afresh's grocery-focused products, focusing on retrieval, agent systems, and evaluation infrastructure for LLMs.
Senior engineer builds and operates the AI platform that turns raw grocery data into reliable context for LLMs and agent systems, including retrieval layers, evaluation harnesses, and production serving infrastructure.
This role involves designing and maintaining CI/CD pipelines and infrastructure as code for the Databricks platform. The engineer will focus on automating deployments, implementing governance, and promoting software engineering best practices across data squads.
Technical Data Steward managing data quality, profiling, and SQL queries using Azure Databricks notebooks, based on-site in Barcelona or Madrid.
REQ P-1075 This role is remote-friendly, candidates from any remote U.S. location are welcome to apply. As a University Recruiter (Contract), you will be an integral part of the early career hiring process. You will…
Builds and maintains data pipelines/ETL workflows using Ab Initio, Python, and Java, with AWS integration; mentors junior engineers and provides Level 3+ support for data solutions in Sydney.
A senior engineer who resolves complex Spark/ML/AI issues for Databricks’ largest customers, trains teams, and collaborates cross-functionally to deliver technical solutions aligned with business goals.
Lead Data Engineer on a major Federal Government program designing and building enterprise-scale data pipelines and Lakehouse architectures using Databricks, Microsoft Fabric, and Azure cloud technologies.
Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to…
Designs and builds the end-to-end BI and analytics stack—from data ingestion to Power BI reports and conversational AI—so business users can ask natural-language questions and get trustworthy answers.
We're looking for a technology leader who knows data platforms deeply, has an opinion about the broader data platform landscape, and can turn that conviction into real engagements, real revenue, and stellar…
Maintain and extend Unity’s Web runtime, embedding real-time 3D in browsers via C++, C#, and JavaScript while optimizing load times and performance.
The Senior Data Engineer will migrate legacy Python/Spark ETL pipelines to dbt Core models within the Databricks ecosystem. This role focuses on reverse-engineering logic, ensuring data quality through rigorous testing, and collaborating within an engineering pod to modernize reporting infrastructure.
Senior Python Engineer builds secure, scalable microservices and data pipelines for a bank using FastAPI, PySpark, Azure Databricks, Docker, Kubernetes, Redis, and Kafka.
Senior Azure Data Engineer at Wipro in Toronto focusing on Databricks and Unity Catalog to manage cloud data solutions, execute data migrations, and build Power BI dashboards.
Design and implement scalable data platforms using Databricks Lakehouse, lead ETL modernization from Informatica to Databricks, and architect batch and real-time pipelines on cloud platforms using Spark, PySpark, SQL, and Delta Lake.
As a Data Platform Engineer Working Student, you will assist in designing and building Databricks-native Lakehouse architectures, implementing data governance, and automating CI/CD pipelines. You will work with Python, SQL, and cloud platforms to support internal projects and client data infrastructure.
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