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The Opportunity Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that…
Tackling complex technical challenges focused on scalability, reliability, and speed Maintaining a high-performance infrastructure that processes millions of events with low latency Collaborating with Data Scientists…
As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Digital Native sectors. You will…
Sr. Staff Data Platform Engineer Position Summary As a Sr. Staff Data Platform Engineer , you will be the primary architect and visionary for the core data infrastructure that powers the entire enterprise. This is a…
At Macquarie, our Data Services Team drives innovation by delivering a diverse suite of data products that empower data-driven decision-making and enhance operational efficiency. With a strong focus on engineering,…
ROLE SUMMARY Clinical development & Operation is a critical domain where scientific innovation is translated into evidence that supports new medicines and improves outcomes for patients and trial participants…
At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless…
Job Family : Data Science & Analysis Travel Required : Up to 10% Clearance Required : Ability to Obtain Public Trust What You Will Do: Partner with stakeholders to define and deliver AI, machine learning, and…
Data Engineer II at Jack Henry designs, builds, and supports batch and streaming data pipelines and enterprise data integrations powering banking, payments, analytics, and ML. Core stack: SQL, C#, Python, PowerShell, Kafka/CDC, SSIS modernization, CI/CD, and Docker. Remote within ~70 miles of seven US office hubs.
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering…
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Senior data engineer building the source-to-Silver ingestion layer of a data and AI platform transformation for a regulated financial institution. Day to day: designing and owning 30+ Python-based source connectors (file, SQL, API) on an AWS medallion architecture with Iceberg Bronze/Silver layers, bad-record quarantine, and pipeline monitoring.
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Mid-level data engineer who owns data pipelines end to end on AWS — ingestion, CDC, transformation, orchestration, monitoring, and on-call support — writing production Python and advanced SQL. Builds curated, well-modeled datasets in S3 data lakes and Redshift for analytics and AI consumers. On-site in Mandaluyong, Philippines.
Builds pipelines and tooling to onboard raw datasets into Acrisure's enterprise data platform, which is migrating to Palantir Foundry from a Google/Microsoft hybrid cloud stack. Day-to-day is hands-on data engineering with SQL, Python/Scala/Java, Spark, dbt, and Airflow, onsite in Austin 4 days a week.
Build resilient data pipelines and self-serve tooling for a crypto market maker, ingesting market, trading, and portfolio data to power desks, risk, finance, and AI agents.
Staff Product Manager who owns the multi-year strategy, roadmap, and go-to-market for DigitalOcean's Data and AI platform — managed databases, vector databases, knowledge bases, and Apache Iceberg data lakes. Day to day: market and pricing analysis, cross-functional delivery with Engineering and Infrastructure, and tracking utilization and reliability metrics.
Staff engineer leading Reddit's Ingestion Platform: designing and operating distributed data-movement services for streaming and batch workloads (Kafka, BigQuery, S3/GCS, Apache Iceberg, Flink) on Kubernetes, building self-service APIs and connectors, and migrating legacy ingestion systems.
Software engineer on Reddit's Data Movement team who builds and maintains the large-scale data ingestion platform powering batch and streaming ML/BI workloads (100B+ events/day). Core stack includes Spark, Flink, Airflow, Kubernetes, and cloud-based infrastructure.
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