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Job Description: At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending…
We are looking for a Senior Software Engineer (Python) to build and connect in-house and SaaS solutions used by business teams at scale. You will take features from early analysis through release, operating secure,…
We are searching for a Senior Software Engineer (Python) to deliver Python services and integrations for internal platforms and SaaS products that support business teams. You will estimate, implement, deploy on AWS,…
We are seeking a Senior Software Engineer (Python) to create secure Python services that integrate internal systems with SaaS tools for business teams. You will plan, build, deploy, and support cloud workloads on AWS…
The Cloud Data Engineer / AWS DevOps will design and maintain data pipelines, ETL processes, and cloud infrastructure for international industrial projects. The role balances 60% data engineering tasks using Snowflake and AWS services with 40% DevOps responsibilities including Terraform, CI/CD, and containerization.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves working closely with data, DevOps, and architecture teams to ensure high-performance data ingestion and processing.
Lead data platform design and development on AWS/Databricks (Spark, Airflow) for petabyte-scale vehicle validation time-series data, while mentoring a data engineering team.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with Data, DevOps, and Security teams to ensure high-quality data ingestion and processing.
Seniority: Senior (6+ years enterprise + industrial integration; OT/IT convergence essential) Team fit: Owns the integration layer and data model that feed the twin; the highest-risk workstream in the program. About…
Backend Engineer on the AI Platform team designing, building, and operating scalable distributed backend services, APIs, and event-driven integrations for a mortgage loan-servicing company, using modern backend languages, major cloud platforms (AWS/GCP/Azure), SQL, and CI/CD practices.
Senior Software Engineer designing, delivering, and maintaining high-quality, scalable core payment systems for Maya's payment solutions; uses Java, Kotlin, Spring Boot, and related technologies.
The Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
Senior Data Engineer designing and optimizing large-scale batch and real-time data pipelines in the cloud using PySpark, Kafka, and AWS services within an agile data cell.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Grain is seeking a Senior Data Engineer to build their cloud-based data platform from the ground up using AWS, Python, SQL, and Airflow. The role involves designing end-to-end data pipelines, managing streaming and batch processing, and ensuring data quality for financial and product stakeholders.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using distributed systems, Apache Airflow, Kafka, Spark, and Databricks. The role involves designing scalable data pipelines and supporting data scientists in deploying ML models on cloud and on-premises infrastructure.
The Data Engineer will design, build, and maintain reliable data ingestion and transformation pipelines using AWS and Databricks. The role involves developing data processing layers, ensuring data quality, and collaborating with cross-functional teams to deliver production-ready data solutions.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using open-source technologies like Apache Airflow, Kafka, and Spark. The role involves designing scalable data pipelines on Databricks and supporting data scientists in deploying machine learning models at scale.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
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