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Senior engineer on HOOPP's Investment Data Operations team, owning the reliability of the investment data warehouse, pipelines, and enterprise data model (Snowflake, Python, SAP HANA, PowerShell, AWS Glue), driving incidents to root-cause closure, and building AI-assisted automation with proper validation and governance.
Overview Most data engineering jobs are maintenance. This one is construction. You would be standing up ETL on Databricks and Spark for a National Guard analytics platform that is still being built, designing the…
We are an employee-centric company that truly values our team members and the contributions they make to our customers and the missions they support. We pride ourselves on being forward-leaning thinkers and on building…
Team Lead, Scientific Discovery Platforms Lead a team of scientific experts responsible for ensuring the quality, discoverability, and customer relevance of search and API experiences across Reaxys, Embase, and future…
Job Posting End Date: October 02 When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable…
Position Summary This role owns agent reliability, observability, and trust controls. Monitors system health, trace logs, response quality, and hallucination signals; establishes detection thresholds and alerts. Works…
Job Description Summary Addressing the climate crisis is an urgent global priority, and at GE Vernova, we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the…
Required Skills and Experience: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 3+ years of experience in data science, building…
Data Scientist serving Multiplica's client Gentera (financial services/microfinance), owning the full ML model lifecycle: identifying and validating data, training classification/regression/clustering models, monitoring performance and drift, and migrating models to a GCP analytics platform. Hybrid role in Mexico City using Python, SQL, and cloud ML tools.
Quik Hire Staffing is assisting a client in hiring a Data Scientist (ML) to design, train, and deploy machine learning models for predictive analytics in a fully remote, full-time role. You will preprocess large…
Junior Data Engineer at Unordinary Company in Milan (hybrid), developing and maintaining data pipelines with Python, SQL, and Spark while prototyping in Jupyter Notebook. The role offers mentoring, training, and professional growth in a data and AI environment.
Junior data engineer (no experience needed) hired in Milan on a hybrid basis to build and maintain data pipelines. Day-to-day work involves Python development, SQL, Jupyter Notebook exploration, and Spark/PySpark processing, with training and mentoring provided.
Senior engineer who runs and improves enterprise data platforms on Kubernetes (on-prem and AWS/GCP, similar to Data on EKS), keeping production workloads like Spark, Airflow, and Jupyter reliable and secure. Day to day: GitOps deployments, monitoring/observability, incident response in 24/7 rotations, troubleshooting, and mentoring junior engineers.
Data engineer consulting role at French IT services firm Synanto, placed with a major social-protection client in Lyon to run and evolve a Data Lake / Cloudera Hadoop platform. Day to day: building SQL/Python/Shell data pipelines, optimizing performance, reverse-engineering the existing architecture, providing L2 support and documentation.
Quik Hire Staffing is seeking a Data Scientist (ML) to work remotely on a full-time basis, developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with…
Design and maintain scalable data pipelines and warehouses using AWS (S3, Glue, Redshift, Lambda). You will integrate third-party data via APIs and webhooks, develop ETL processes with Python and SQL, and ensure data integrity for a personal care product company.
Wikimedia Foundation is hiring a senior iOS engineer for a 3-month full-time contract on its App Growth team to build and improve the Wikipedia iOS app for a global, multilingual audience. Day-to-day work is fully remote and centers on Swift, SwiftUI, and UIKit feature delivery, system design, testing/observability, and cross-functional collaboration.
A hybrid Data Scientist/ETL Engineer role supporting the IRS Compliance Data Warehouse: the hire designs, builds, and refactors ETL pipelines (Unix/Linux shell, SQL, Python) loading data into Sybase IQ and Postgres, and applies statistical/ML techniques (Pandas, NumPy, scikit-learn) to produce predictive models and insights.
A night-shift (10 PM IST start) technical support role on Snowflake's Support team, troubleshooting customer issues with Snowflake Cortex and ML workloads across Python, ML libraries, LLMs, cloud platforms, Kubernetes, and DevOps. The engineer handles cases via email/web/phone, meets SLAs, escalates to engineering, and documents knowledge base articles.
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