Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Leads backend architecture for a cybersecurity detection/response engine, processing billions of events/sec in real-time with AI to reduce false positives and stop critical threats.
Lead Data Engineer builds and optimizes scalable data pipelines, AI/ML solutions, and cloud-native architectures to unify ASCO’s enterprise data for AI, analytics, and operations, ensuring high performance, cost efficiency, and operational reliability.
Builds secure, automated pipelines for threat detection and response using Python and DevOps tools to protect Verizon’s global network and infrastructure.
Maintains accurate marketing data by monitoring GA4/GTM implementations, resolving tracking issues, and ensuring reliable reporting for PwC’s adtech analytics ecosystem.
Designs and executes data projects to solve business problems, leveraging SQL, BigQuery, Python, and visualization tools like Tableau/Looker to analyze complex datasets and drive actionable insights for Equifax’s fintech operations.
Lead a software engineering team at a global fintech company, overseeing SDLC, cloud-native Java/SpringBoot microservices on GCP/AWS/Azure, and CI/CD pipelines while driving quality, reliability, and team growth.
Designs, optimizes, and secures MuleSoft-based integration systems for General Mills, leading platform efforts, mentoring teams, and ensuring scalability, security, and cost efficiency in enterprise integration solutions.
This role is a senior engineering position within Deutsche Bank's eDiscovery and Archiving Technology group, responsible for designing and operating secure, scalable GCP data platforms. The engineer will build data pipelines, manage infrastructure as code, and ensure compliance with regulatory standards using technologies like BigQuery, GKE, and Terraform.
The Senior Data Engineer will design and maintain scalable data pipelines and warehousing solutions on Google Cloud Platform to support analytics and machine learning initiatives. This role requires strong Python and SQL skills and involves cross-functional collaboration to ensure data quality and governance within a commercial real estate environment.
The Senior IT Product Owner will define product vision, strategy, and roadmaps while collaborating with cross-functional teams to deliver tech solutions. The role involves gathering requirements, conducting market research, and managing backlogs using Agile and Waterfall methodologies.
Maintains accurate marketing data by implementing and optimizing GA4 and GTM tracking, ensuring reliable reporting and compliance with consent tools like OneTrust.
Solutions Engineer acting as a trusted technical advisor across the sales cycle, helping customers integrate ICIS commodities market data into their analytics, reporting, and AI ecosystems using SQL, Python, APIs, and cloud data platforms.
The Principal Engineer will lead end-to-end technology solution delivery for commercial lending products, utilizing Java, Spring Boot, Angular, and AI technologies. This role involves architectural decision-making, code reviews, and collaborating with agile teams to ensure platform stability and innovation.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
The Senior Data Scientist will build and deploy commercial machine learning models, such as churn prediction and propensity modeling, to drive revenue and customer retention. The role involves end-to-end model lifecycle management using Python, SQL, and AWS within a hybrid work environment.
Lead the marketing and customer analytics strategy for Lieferando in Germany, using SQL, Python, and Tableau to analyze campaigns and optimize multi-million euro budgets while mentoring a team of data professionals.
Lead the end-to-end data analytics lifecycle at an NBFC lender—building executive dashboards in Tableau/Power BI, writing advanced SQL across cloud warehouses (Snowflake/BigQuery/Redshift), and performing statistical analysis with Python/R to drive decisions across Risk, Finance, and Operations.
EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL…
Develops and maintains a government Investment Data Warehouse platform with AI/ML and GenBI capabilities, focusing on data modeling, ETL pipelines, and analytics dashboards using Snowflake, AWS, and React.
We couldn't check your fit for this role — add a CV to your profile to see it next time.