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ETL/Data Engineer building and optimizing data pipelines with Oracle, SQL/PL/SQL, Python, and Airflow (DAGs), deployed via CI/CD on OpenShift for PKO BP bank.
As a founding data engineer, you will design and build a scalable data platform from the ground up to support mobile game analytics, LiveOps, and marketing. You will utilize technologies like Python, SQL, AWS, dbt, and Airflow to create robust data pipelines and infrastructure.
This Senior Data Engineer role involves building data-quality frameworks and high-throughput pipelines for fraud detection and AML systems within a European fintech company. The position requires deep domain expertise in transaction monitoring and strong Python skills to support automated decision engines.
Cyrantos is partnering with a leading asset management firm to find a highly experienced Senior Data Engineer to join their team. This is a remote position with a start date as soon as the candidate successfully…
Build and orchestrate production-grade data pipelines and Data Lake/DWH solutions on Google Cloud Platform using Python, SQL, BigQuery, and Airflow in a hybrid role based in Kraków.
Senior Data Engineer designing scalable backends and data pipelines within a microservices architecture, using Java, C#, Go, or Python with Airflow/ETL in cloud environments.
Data Engineer building and maintaining ELT pipelines and data warehouses using AWS (S3, Redshift), dbt, Airflow, and SQL.
The Lead Data Engineer will design and develop scalable data platforms on GCP, building batch and streaming pipelines while providing technical leadership and mentorship to the team. The role requires extensive experience with big data technologies like Spark, Hadoop, and cloud-based data architecture.
The Senior Data Engineer will design and develop scalable backend systems, microservices, and data pipelines to support business processes. The role involves building reliable integrations and optimizing data workflows using technologies like C#, Java, Go, or Python.
Reppls is looking for a Data Engineer to manage and scale data pipelines and platform infrastructure for quantitative investing workflows. The role involves collaborating with data scientists and engineers using Python, Snowflake, Airflow, dbt, and AWS.
Designs and maintains scalable data pipelines on GCP/BigQuery, collaborating with teams to transform raw data into actionable insights. Core tools: Airflow, Terraform, and CI/CD pipelines.
The Data Engineer will design and implement batch and streaming data pipelines within Google Cloud Platform. The role involves integrating systems and collaborating with data analysts and architects using tools like BigQuery, Dataflow, and Airflow.
Full-stack developer designing automated satellite data processing pipelines and high-availability STAC/REST APIs for Earth observation, using Python, JavaScript/TypeScript, React/Angular, and SQL/NoSQL databases.
Designs, operates, and optimizes Medallia’s distributed platform infrastructure (Kafka, Elasticsearch, Spark, etc.) to ensure reliability, scalability, and performance for its Experience Cloud SaaS.
Designs, operates, and optimizes Medallia’s distributed platform infrastructure (Kafka, Elasticsearch, Spark, etc.) to ensure reliability, scalability, and performance for global SaaS services.
Designs and maintains secure, scalable ML platforms for AI systems supporting national security missions.
Job Type: Full-time | Location: Childress, Texas | Department: US Operations | Reporting to: Senior Operations Manager | Work Location Type: #onsite IREN is a leading AI Cloud Service Provider, deliver large-scale GPU…
Data Engineer building and operating production ELT pipelines with Snowflake, dbt, Python, and SQL to power company-wide analytics and AI initiatives at a biotech R&D platform.
Senior Data Engineer building and scaling ML-powered data products (OCR, transaction coding, RAG/agentic systems) on a commercial banking platform, using Python, Go, Snowflake, DBT, Kubernetes, and GCP.
Senior Backend Engineer building and scaling Homebot's homeownership platform—applications, services, and APIs—using TypeScript, React, Ruby on Rails, and AI tooling in a hybrid Denver role.
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