Data Engineering Jobs in San Francisco

112

Principal Software Engineer, Data Platform - [email protected]

Unity Technologies
San Francisco
12 hours ago
+33
Design, implement, test, and maintain Unity’s Data Platform and associated services that are capable of handling real-time and batch processing for petabytes of data over events on the order of billions daily. Work closely with customers inside and outside Unity to ensure great delivery while maintaining top-notch operations within stringent SLAs.

Business Intelligence Developer

Zeus
San Francisco
15 hours ago
Work with department heads on determining reporting and dashboard requirements and developing these into prioritized metrics for data sources. Transform existing data to create new metrics using SQL and Python that allow new insights into our data. Design and develop data sources in Looker for each department with pre-aggregated metrics by the level of granularity needed by the department. Create BI dashboards for more complicated analytical analysis. Cleanse the current data sources so that only vetted data is being used and users trust the data. Be the admin and oversee user access and privileges to Zeus’s BI platform. Make recommendations on how best to upgrade and maintain Looker.

Senior UI Engineer, Data

Ripple
San Francisco
22 hours ago
Build client-facing and internal web applications integrating with blockchain technologies and all forms of currencies (traditional as well as crypto). Participate in the full software development lifecycle, from software design and requirements gathering, to unit and integration testing. Be responsible for XRP Charts (https://xrpcharts.ripple.com) and internal systems to analyze and annotate XRP Ledger data. Build applications to support volume billing and other internal tools. Build impactful data visualizations that shall help in making strategic decisions. Work with teams across the organization, including product, design, ops, finance, sales, legal, compliance etc.

Staff Software Engineer, Data

Software Engineer, Data (New College Grad)

Grand Rounds
San Francisco
22 hours ago
Collaborate with teammates to design, build, and ship high-throughput data delivery pipelines. Improve the data science and machine learning approaches that we’ve deployed to resolve the underlying identities of patients and doctors from the raw data. Gather and document partner team requirements to ensure we’re building the right things. Model healthcare data on the FHIR standard using the power of extensions. Build with security in mind as we handle patients’ most sensitive data.

Software Engineer, Data Platform Services (New College Grad)

Lead Software Engineer, Data Infrastructure

Lead Software Engineer, Data Platform

Machine Learning Engineer

Engineering Director, Data

Backend Scala/Java Microservices Software Engineer, Services, Data Platform

Software Engineer, Data Products - Doctor Match

Senior Software Engineer, Data Platform - Insights Platform

Senior Software Engineer, Data Platform - Data Factory

Load 6 more jobs10 jobs at Grand Rounds

Senior Data Quality Lead

Komodo Health
San Francisco
1 day ago
Own the strategy and execution of data quality efforts across multiple teams.  Work with data analysts, data qa, and data engineers to implement automated quality checks.  Work with multiple teams to understand their data quality needs and help prioritize different efforts across the organization.  Work with data scientists, engineers, and clinical specialists on different teams to understand pain points around data quality and help mitigate them.  This is a new role for us, so you will help shape it! 

Senior Data Infrastructure Engineer

Data Infrastructure Engineer

Staff Data Engineer

Senior Data Engineer

Data Strategy Lead

Data Engineering Manager

Data Analyst

Load 4 more jobs8 jobs at Komodo Health

Data Engineer

Glu Mobile
San Francisco
1 day ago
The Data Engineering team at Glu builds core data infrastructure and applications in support of all areas of our business, including our studio teams, user acquisition, monetization and finance. Glu is passionate about maximizing the value that data and analytics can provide to the business and is aggressively investing in new capabilities. Our team covers a lot of ground from data ingestion through to machine learning applications.

Customer Data Architect

Scout RFP
San Francisco
1 day ago
+15
As a Scout Customer Data Architect, you will work with our customers and prospects to discover, quantify, and realize the value of Scout solutions. You will act as a liaison between customers and our product teams to tailor and fine-tune our product roadmap & customer deliverables as it relates to our API connections and integrations. Together with Scout Product and Customer Success teams, you will support and help develop the Scout product that best suits our customers. Together with our Customer Success team, you will build relationships with our customers, understand their businesses, discover potential Scout impact, as well as understand and troubleshoot their product concerns. We are a very focused and driven team that views itself as critical to growing Scout’s customer base and maintaining Scout’s customer-first values system.  

Data Engineer

Skupos
San Francisco
2 days ago
Skupos is seeking a Data Engineer to help build the foundation of our big data platform. As we pave the way for our data product offerings, you will architect, develop and deploy data solutions at scale using modern data technologies. You will have an opportunity to drive the tech stack for this platform. Come, join us and be in charge of your career trajectory and leverage coaching/mentorship opportunities with your manager to write your own success story at Skupos and beyond. 

Senior Data Reliability Engineer

Fastly
San Francisco
2 days ago
We are looking for Senior Site Reliability and Production Engineers with experience/interest in building and growing large scale data platforms. You will help the Data team improve the reliability, speed, efficiency, and security of the platform that powers our real-time logging and stats products.

Engineering Manager, Data Platform

TrueAccord
San Francisco
3 days ago
TrueAccord is looking for a Sr. Engineering Manager, Data Platform who will lead teams of data engineers and data scientists to architect, develop, and maintain data pipelines using the latest technologies as well as use that data in data science applications across our product. Ideally, you have a proven track record in managing a group of world-class data engineers and scientists with demonstrated growth in their career development, building scalable data driven systems, and applying advanced tools to enhance data-heavy products. You possess hands-on skills in designing and developing scalable solutions for data pipelines, including data infrastructure and data services. You also have experience working in a product-driven organization in collaboration with product managers, and going through product development cycles.

Data Engineer, Analytics

Mapbox
San Francisco
3 days ago
The Analytics team applies business logic to the underlying data, providing actionable insights to decision makers through easy-to-interpret visualizations, derived tables, and ad hoc analyses. As a data engineer on the Analytics team, you will build and manage underlying platforms and tools that are foundational to fostering a data-driven culture across all of Mapbox. You will create scalable data pipelines and processes to ensure operational excellence in how teams retrieve, interpret, and action on data insights internally. You will have strong autonomy designing and implementing intuitive frontend UIs and efficient backend logic.

Senior Data Engineer, Search

Senior Data Architect

Omada Health
San Francisco
4 days ago
The Senior Data Architect will drive the design and implementation of the vision for the data warehouse architecture as Omada grows across multiple product lines. The ideal candidate will be able to provide data architecture thought leadership on everything from logical data models to process best practices, SQL optimization and master data management. The candidate will be responsible for developing and leading projects to improve these areas in partnership with analytics and data science leadership.

Senior Software Engineer, Data Infrastructure

Machine Learning Platform Engineer

Primer
San Francisco
4 days ago
Primer is seeking a Staff Machine Learning Platform Engineer for our deep technology team. You will anchor and help grow a special team within this well-funded, rapidly growing artificial intelligence startup. You will create the technology that transforms all of our products, and makes entirely new ones possible.

Principal Machine Learning Engineer

Primer
San Francisco
4 days ago
As a Principal Machine Learning Engineer, you will drive significant improvements in our core machine learning algorithms, transforming the capabilities and performance of our products. As well as making core contributions yourself, you’ll work with other members of our team to guide their work through from ideation to implementation, raising the bar of what they produce and enabling them to do their best work.

Senior Data Engineering Manager

Quizlet
San Francisco
4 days ago
The Data Engineering team's mission is to scale our event data collection systems to 5B+ events/day & 2 PB analytic data, empower data products team, product engineers, data scientists with timely, high-quality data and data processing platforms. Key areas of ownership: Core telemetry and processing pipelines, data warehouse, data modeling/data products, ETL and streaming data systems, experimentation platform (A/B testing), visualization tools.

Sr. Data Science Engineer

Quid
San Francisco
4 days ago
There are three main data science functions at Quid. Our Applied Data Scientists work with clients directly to provide custom solutions, thereby gaining intel on potential applications to build. Our Core Data Scientists build the algorithms that power our platform. Our Data Science Engineers write the backend applications that leverage our core data science capabilities to address user needs. The outputs of these applications populate our visualizations and deliver insights. This role requires very strong engineering skills along with enough data science expertise to intelligently interact with and tune core data science modules.

Senior Software Engineer, Data Platform

Quantcast
San Francisco
4 days ago
Quantcast is hiring a Senior Software Engineer to work on the Core Data Pipelines team in our San Francisco headquarters. As the real-time pulse of the Internet, Quantcast uses machine learning to drive human learning. We’ve built one of the largest computing infrastructures in the world, measuring over 100 million web destinations globally. In addition to this global network, Quantcast has developed machine learning models that predict audiences and behaviors that are used by the top digital marketers around the world. We are one of the top 10 media buyers across the globe and we are looking for a product leader to define and lead our inventory product strategy.

Senior Software Engineer, Machine Learning

Senior Data Engineer, Data Warehouse

Data Engineer, Data Warehouse

Software Engineer - Data Infrastructure

Plaid
San Francisco
4 days ago
Provide self-served business insights so anyone at Plaid can explore our data quickly and safely and get the business insights they need. Build the data and ML infrastructure to enable any Plaid engineer to prototype and iterate on products and features built on top of consumer-permissioned financial data.

Data Wrangling Engineer

Trifacta
San Francisco
6 days ago
  About Trifacta: Trifacta, the pioneer in data transformation, significantly enhances the value of an enterprise’s Big Data by enabling users to easily transform raw, complex data into clean and structured inputs for analysis. Leveraging decades of innovative work in human-computer interaction, scalable data management, and machine learning, Trifacta’s unique Predictive Interaction technology creates a bidirectional partnership between user and

Machine Learning Research Engineer

Scale
San Francisco
6 days ago
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparemeter searches, then deploy without regressing on core model characteristics. Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines. Work with massive datasets to develop both generic models as well as fine tune models for specific products. Build the scalable ML platform to automate our ML services. Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization. Be able, and willing, to multi-task and learn new technologies quickly.

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