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Senior Data Engineer
Build and operate high-reliability data pipelines that ingest cardiac device data into a MedTech platform, using Python/TypeScript on AWS with Temporal and Kubernetes.
Working Student Data Engineering (m/f/d)
Build and maintain scalable data pipelines and architectures using Snowflake, dbt, AWS Glue, and Kubernetes to support data-driven marketing campaigns and KPI tracking.
Associate Engineer (Data Science)
Designs and implements AI/ML algorithms for ad decisioning, bid auctioning, and creative optimization in digital advertising, using Python, TensorFlow, and real-time data pipelines.
Software Engineer | Bankrate
Build and maintain scalable, reliable software systems for Bankrate’s financial comparison platforms using a TypeScript-based stack, cloud infrastructure, and CI/CD pipelines.
Senior Data Engineer (Contract - 3 days per week)
Build and maintain scalable data pipelines and platform components using Microsoft Fabric, focusing on ingestion, transformation, and CI/CD for a marketing/advertising agency.
Sr Manager, Salesforce Platform Engineering
Manages a team of Salesforce engineers to build secure, scalable data solutions, including Salesforce-to-Salesforce integrations and migrations, while applying AI technologies to engineering workflows.
Data Engineer
Build and maintain dbt data models in Snowflake to power analytics and AI across government ERP products, owning pipelines from ingestion to CI/CD deployment.
Associate Director, Principal Data Engineer
Lead AI-powered data engineering for a biopharma company, building scalable cloud platforms and LLM-driven workflows to accelerate drug discovery and clinical research.
Data Engineer- Data Modeling (Snowflake, dbt) - barcelona
The Data Engineer will work on data ingestion and modeling projects for an automotive client using Snowflake, dbt, and Airflow. The role involves building data pipelines and key performance indicators within a cloud environment.
Senior Backend Spark Developer (Remote from Spain)
Build and optimize large-scale Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and SQL to process and model data for enterprise clients.
Analyst II, Full Stack (Revenue Analytics)
Builds and maintains scalable data products, dashboards, and semantic layers for Affirm’s revenue analytics, using dbt, SQL, and cloud tools to power decision-making and AI integration.
Senior Cloud Engineer Analytics & AI Platform
Designs and manages Azure cloud services for Bayer’s global analytics & AI platform, collaborating with data/data science teams to implement scalable solutions using IaC, CI/CD, and Azure’s data/AI tools.
Analytics Engineer
The Analytics Engineer will own data modeling for client accounts and maintain shared metric models using dbt and SQL. This role focuses on building production data layers to support contact center analytics and requires collaboration with analysts to ensure data quality and consistency.
Staff Software Engineer-Backend
Lead backend architecture for Cameo’s platform, designing scalable Node.js services, event-driven systems, and AI-powered features to connect fans with talent.
AI Builder
Job Type: Contract Location: Austin, TX (Hybrid) — This role requires an initial 3-month commitment to the Austin area, with a strong likelihood of an extended or permanent presence. About InMarket Since 2010, InMarket…
Data Engineering Manager (Databricks)
Designs and maintains semantic data layers and KPI models using Databricks to enable governed executive dashboards and AI-driven analytics, collaborating with business teams to define and implement data-driven metrics and pipelines.
Data Engineering Manager (Databricks)
Designs and maintains semantic data layers and KPI models using Databricks to enable governed executive dashboards and AI-driven analytics, integrating multi-source enterprise data while ensuring quality, security, and governance.
Data Engineering Manager (Databricks)
Lead a team to design and maintain Databricks-based semantic layers and KPI models that power AI-driven analytics and executive scorecards, collaborating with business teams to translate requirements into governed data assets.