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Build and deploy AI-powered applications and agents using LLMs for engineers and operators in a rocket factory and launch platform, shipping reliable software in Python, Go, React, and TypeScript.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Senior Data Engineer leading data pipeline and ML data infrastructure design for Amazon's worldwide pricing algorithms, using AWS services, SQL, and Python/Java/Scala/NodeJS to process large-scale pricing data.
Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Hevo () is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven…
Building and scaling data pipelines, ETL/ELT processes, and data architecture for a Spanish second-hand marketplace startup using SQL, Python, MongoDB, and cloud data warehouses.
Build and maintain ETL/ELT data pipelines on AWS (S3, Redshift, QuickSight) using Python, PySpark, SQL, and tools like Talend, Power BI, Pentaho, SSIS, and Azure Data Factory.
Data Engineer building data warehouse and data management systems using SQL, major public clouds (AWS, GCP, Azure), and their data warehouses (Redshift, Synapse, BigQuery, Snowflake) along with orchestration tools like Airflow/Dagster.
4-month contract Data Engineer working in an Azure/Databricks environment to support a sales data project, using Python and SQL to map products and analyze subscription growth.
Remote Cloud Database Administrator responsible for designing, administering, and optimizing AWS Redshift Serverless, Snowflake, and Databricks environments supporting US government healthcare data systems at CMS.
Senior Data Test Engineer validating analytics and data pipelines end-to-end for Pluto TV's streaming platform, using SQL, Java/Spring-based automation, BigQuery, and AI-assisted tools.
The Senior Software Engineer in Data will collaborate with international and local teams to build mission-critical data products. The role involves working with cloud data platforms, ETL pipelines, and machine learning technologies to solve complex technical challenges.
The Analytics Engineer will design and maintain dbt models on BigQuery to transform raw data into trusted datasets for analytics and ML. This role involves ensuring data quality, collaborating with stakeholders, and optimizing data pipelines within a fintech environment.
The Staff Data Engineer will lead the design and scaling of data infrastructure, overseeing complex ETL pipelines and mentoring engineering teams. The role requires deep expertise in Python, distributed systems like Kafka and Airflow, and cloud data warehouses such as BigQuery.
Senior Data Engineer on Grab's Lending Data Engineering team, designing and managing scalable batch, real-time, and event-driven ETL pipelines on AWS (Glue, Redshift, Athena, S3, EMR, Kinesis, MSK) using Flink, Airflow, Spark, Kafka, and Trino—onsite in Jakarta.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and cloud-based data infrastructure. The role involves developing data models, implementing BI dashboards, and ensuring data governance using tools like Python, SQL, Airflow, and various cloud platforms.
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