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Build and maintain data pipelines for a B2B e-commerce platform, using Python, SQL, PySpark/Scala, and cloud services to process and transform retail data.
The Data Pipeline & Analytics Engineer will design, build, and optimize scalable ETL/ELT pipelines and analytics-ready data models. The role involves using tools like Airflow, dbt, and Spark to ensure data quality and enable data-driven decision-making through dashboards.
Data Engineer building cloud data platforms on Azure using Spark, PySpark, Python, SQL, Airflow, Databricks, Git, and CI/CD.
Build and maintain the data infrastructure platform at a fintech company, deploying tools like Airflow and Flink and managing AWS storage services such as DynamoDB and RDS.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business…
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
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…
Job: 3048320 Job Description: Data Engineer Location: Clayton, Missouri (Partial Remote) Role Overview We are seeking a Data Engineer for a role in the financial services industry. The position involves authoring,…
The Staff Application Database Architect will design and optimize OLTP database schemas and query performance for HeartFlow's clinical and operational platforms. This hands-on role involves working within Python/Django services on AWS to ensure high-performance data access while maintaining compliance with healthcare regulatory standards.
Build and maintain data pipelines, models, and integrations on SAP HANA, SAP Datasphere, AWS, and Snowflake to support regulated payments and e-money reporting for a travel platform.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Build and scale a global data platform to power Delivery Hero’s incentive strategies across 70+ countries using GCP, BigQuery, Python, and real-time data pipelines.
Senior Data Engineer on the GIS team at PedidosYa (Delivery Hero), building and scaling data solutions and incentive platforms for millions of users using Airflow, GCP, BigQuery, and Python.
Builds and maintains a bioinformatics platform’s web UI, REST APIs, and data pipelines using Node.js, React, and PostgreSQL to help researchers analyze RNA-sequencing data.
Senior Data Scientist on Plaid's Network Value (Credit) team, performing product analytics, experimentation, and data modeling using SQL, Python, Redshift, Databricks, dbt, and Airflow to shape Credit product strategy and grow the consumer financial network.
As a Senior Data Engineer, you will build and maintain the company's data lake and BI platform on Databricks and AWS. You will manage Airflow pipelines and optimize Postgres and time-series databases to provide clean, reliable data for the entire organization.
Data Analyst builds and maintains BigQuery datasets and Python pipelines to automate inventory, demand, and forecasting analytics for an e-commerce company.
Solutions Engineer at a DataOps startup, owning the technical win in sales cycles—leading demos, running POCs, mapping architectures with the Modern Data Stack—and providing hands-on technical onboarding and front-line support post-sale.
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