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.
Data Scientist II at UW-Madison's School of Medicine and Public Health, designing data pipelines, dashboards, and geospatial visualizations using SQL, Python, Power BI, and GIS tools to support research and decision-making.
AWS Cloud & Platform Engineer designing and maintaining secure cloud infrastructure, CI/CD pipelines, and big data platforms using AWS, Terraform, and data tools—requires active SC clearance with 1 day/month onsite in Leeds.
Data Engineering Architect at Disney Streaming, defining data architecture strategy, cloud migration, and governance platforms using AWS, Snowflake, Redshift, Spark, Kafka, and other distributed data systems.
Technical Data Product Owner leading the strategy, roadmap, and Agile delivery of a pharmacy/healthcare data hub, collaborating with data engineering, compliance, and business teams on cloud-based data platforms in a HIPAA-regulated pharmaceutical environment.
The Senior Associate, R&D Business Analysis, supports workforce transformation and enterprise analytics through financial modeling, data analysis, and business case development. The role involves collaborating with global teams to provide insights for resource optimization and strategic planning using tools like Excel, BI platforms, and cloud-based data systems.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
Data Scientist II building predictive models for Amazon's Risk and Compliance team, using AWS services (Redshift, SageMaker, Lambda, QuickSight) and GenAI to score which risks and control weaknesses convert to breaches in financial crime compliance.
.Experience implementing container orchestration using Kubernetes / EKS. · Knowledge of cost optimization, FinOps practices, and cloud governance. · Exposure to multi-account AWS setups using Control Tower,…
Middle Data Analyst in iGaming who owns end-to-end analytical workflows in Amazon Redshift, builds BI dashboards, runs A/B tests, and tracks gambling KPIs (GGR, NGR, player LTV, churn) while integrating AI tools into daily analysis.
Technical lead for ETL/data warehouse build projects and run support at Synchrony, architecting and operating data platforms that process credit card transactions using Ab Initio, SQL, and Unix Scripting.
Designs and builds Databricks/Delta Lake data pipelines, Python/SQL transformations, and data models to support IT demand management and reporting, ensuring scalable lakehouse patterns for ingestion, harmonization, and downstream consumption. Collaborates with cross-functional teams to translate business needs into technical solutions and maintain production data quality.
Hands-on Staff Data Engineer (50%+ coding) at Early Warning (Zelle), architecting and building scalable data platforms, lakehouses, and ML pipelines using Snowflake, Databricks, Python/PySpark on AWS.
Who we are looking for We are seeking an experienced AWS professional to join our Customer Experience team, working closely and collaboratively with application development teams and platform engineering teams to…
Brand new Permanent Opportunity for a Lead/Principal Data Architect with an Emerging National Security Consultancy in Cheltenham Must hold Active Enhanced DV (West) Clearance to start Up to £105k DoE Cheltenham…
Scope Akkodis is launching a new technical delivery team to drive a UK national program in collaboration with key partners, designed to transform and future-proof the central government’s workforce. By leveraging…
Lead a team to design and maintain ALO’s data platform, building scalable pipelines for real-time analytics, marketing automation, and inventory intelligence using AWS, dbt, and modern data warehouses.
Leads a team of data engineers to build and maintain scalable data pipelines and platforms in AWS, translating business needs into reliable, governed data solutions for analytics and AI/ML.
Designs and builds scalable data platforms and ML solutions on AWS for clients, focusing on ETL/ELT pipelines, analytics, and automation.
Lead the design and build of a new data platform from scratch, hiring and managing a team to turn raw data into business insights for marketing, sales, academics, and finance using Snowflake, dbt, and BI tools.
Design and build scalable AWS-based data pipelines and storage systems using Python, PySpark, and AWS services to support automation and cloud migration for Fortune 500 clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
