Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll be responsible for:As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.

Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.

Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Sr. Manager, Data Platform – Advanced Analytics. Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery.

Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena.

The Federal Reserve Bank of San Francisco is looking for a Sr Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data engineering, advanced analytics products, and solutions.

Proactive and enjoys the data discovery process, digging deep and getting hands-on with data. Conduct in-depth data investigations across the ConcertAI data pipeline to maintain a high level of data quality, completeness, and usability of ConcertAI data products.

We value passionate, down to earth, "can do" people who enjoy fine-tuning small details, without losing sight of the big picture. Own data engineering infrastructure to drive and enable statistical, optimization, AI/ML models and usage.

Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.

As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.

The Cyber Security Specialist (Data Security) continuously identifies, tracks, shares, and supports operational IT security requirements across the Ninth Circuit, with an emphasis on data security and analysis.

Collaborate with technical teams to leverage technology solutions for knowledge management within data center construction projects, including document management systems, collaboration platforms, and data analytics tools.

As a Senior Software Engineer, you will: Design and implement big data, distributed, blockchain, and machine learning systems using modern tech stacks in Golang and Python. Experience with real-time and batch big data sets and platforms, ideally 10-100+ TB.

The Community Practice Clinical Data Coordinator at Trial Library will play an integral part in expanding access to cancer clinical trials by pioneering pre-screening efforts in community oncology settings.

As a Data Analyst on the Banking Cash Flow team, you will partner with cross-functional stakeholders in Product, Marketing, Engineering, and Design to gain deep insights into our customers, drive data-informed product and marketing decisions, and deliver a remarkable and cohesive cash flow home experience.

You don't really need a product manager because you're basically one yourself. Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.