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Build the attribution systems that connect ad interactions with real customer outcomes — processing more than 50 billion events per day to produce the measurements that power experiences across all of Amazon Ads and…
We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast,…
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure,…
Job DescriptionJob Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign…
Senior Data Engineer at Appnovation who prepares enterprise domain data for AI agents: building domain-grounded data agents over governed Databricks and Snowflake datasets, performing lakehouse migrations to open formats like Apache Iceberg, and onboarding new data domains while ensuring data quality and governance.
Leads data engineering work at PT Tempo Scan Pacific: building and maintaining pipelines into the data warehouse, automating testing/monitoring for data governance, and improving data infrastructure. Core stack includes Snowflake, Databricks, Apache Spark, and Apache Iceberg; requires 5+ years as a data engineer.
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…
Altimetrik is hiring a Senior Data Engineer (10+ years) to architect, build, and operate enterprise data platforms on Databricks, Snowflake, and AWS. Day to day means designing batch/streaming pipelines with PySpark/Scala and Delta Lake, Snowflake data modeling, plus data quality, observability, and governance frameworks while mentoring other engineers.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking…
Data Engineer at Arbeit Infotech, an IT consulting firm serving telecom clients in Indonesia. Day to day: designing and maintaining scalable ETL/ELT pipelines into data lakes/warehouses using Python, SQL, Spark, Kafka and Airflow on AWS, plus query optimization, data governance, and partnering with BI and data science teams.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London location_on London, Greater London, England, United Kingdom The Opportunity Join a team building the data foundations that…
Senior Data Engineer on Jane's Data Performance and Tooling team, owning end-to-end data infrastructure: production-grade pipelines, a secure centralized data lake, and streaming/CDC systems. Core stack includes AWS (MSK, Glue), Terraform, Apache Iceberg, Snowflake, and Kafka-family tools, working closely with analytics and product teams.
Senior hands-on data engineering architect at healthtech firm Evinova in Barcelona, designing and optimizing an AWS lakehouse (Glue, Athena, Iceberg, Kinesis) with CDK-defined infrastructure, pipelines, and governance, while mentoring engineers. In-office at least three days per week.
Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global.…
A data engineer builds reusable data products on a large Federal Government data platform, transforming and integrating raw datasets using Apache Spark, Python, Apache NiFi, Apache Iceberg and Azure DevOps. Requires an NV1+ security clearance and on-site work 3-5 days per week, Melbourne preferred.
A hands-on data engineer builds and maintains data acquisition and ingestion pipelines, moving data from enterprise source systems into a central data platform for a Federal Government environment. Core stack is Azure Data Factory, Apache NiFi, and Microsoft SQL Server, with an NV1 clearance and 3–5 days on-site required.
Data engineer building reusable data products on a Federal Government central data platform in Melbourne (on-site 3-5 days/week). Day to day involves conforming and integrating raw datasets and writing transformation logic with Apache Spark, Python, Apache NiFi, Apache Iceberg and Azure DevOps; NV1 security clearance required.
The Data Engineer will serve as a vital resource within the Enterprise Data Group to design, build, and maintain the full analytics delivery stack. This role involves transforming raw data into actionable insights by…
Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and…
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