Data Engineering Jobs in San Francisco

110

Senior Software Engineer, Knowledge Platform (ML I…

Square
San Francisco
17 hours ago
Make machine learning at Square easy. Square has over 100 engineers and data scientists building machine learning solutions; our team’ supports these efforts. We build model development tools, feature computation infrastructure, and high scale serving systems to ensure that those trying to use machine learning can spend less time on infrastructure and more time delivering value. Provide ecosystem expertise to all of Square's products. We provide systems and models that help teams transform their idiosyncratic data into reusable knowledge, so that each new ML system starts with access to a large set of observations and features.

Data Engineer

Wish
San Francisco
18 hours ago
Design and implement efficient and scalable data engineering framework that powers the company's key data applications such as experimentation and metrics reporting. Design and drive data architecture for future data storage, processing, and applications. Develop and maintain critical data pipelines.

Senior Software Engineer, Data Platform

Wish
San Francisco
20 hours ago
We’re looking for engineers to work on our massive semi-structured datasets. You'll develop software to process, transform and analyze the data to identify signals from billions of events we collect every day. You'll provide insights that improve the experience of hundreds of millions of users worldwide. You should be results-driven, highly motivated, and have a track record of using data analytics to drive the understanding, growth, and the success of a product.

Senior Machine Learning Engineer, Relevance

Wish
San Francisco
21 hours ago
Improve the core relevancy of Wish which serves impressions created billions GMV per year. Use big data platform to analyze massive semi-structured dataset and get data insights. Develop data models based on new data insights. Write highly efficient code to serve and a/b testing new models. Monitor, analyze and iterate on data models. Share gained knowledge with teammates and brain storm new ideas.

Software Engineer, Data Platform

Wish
San Francisco
20 hours ago
We’re looking for engineers to work on our massive semi-structured datasets. You'll develop software to process, transform and analyze the data to identify signals from billions of events we collect every day. You'll provide insights that improve the experience of hundreds of millions of users worldwide. You should be results-driven, highly motivated, and have a track record of using data analytics to drive the understanding, growth, and the success of a product.

Senior Manager - Data Infrastructure

Collective Health
San Francisco
22 hours ago
At Collective Health, we care about creating a culture of diversity, openness, and transparency, while engaging our intellectual curiosity, and problem solving skills. We’re looking for an experienced engineering leader to be a collaborative partner in building healthcare’s new infrastructure. In this role, you will lead teams building the core data infrastructure foundational to products that our clients, partners, and members use to interact with greater accuracy, efficiency, and effectiveness. Healthcare systems today consist of arcane file formats, legacy mainframe systems, and other antiquated technologies. We’re building the next generation healthcare platform, and we’re proud to be on the leading edge of this important mission. If you want to make a difference in the healthcare of those around you, join us. 

Senior Data Engineer

Glu Mobile
San Francisco
1 day ago
The Sr 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.

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.

Associate 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.

Data Engineer

Avenue Code, LLC
San Francisco
1 day ago
Partner in building the infrastructure required for optimal extraction, transformation, visualization, and loading of data from a wide variety of data sources using SQL and big data technologies; Improve our Machine Learning systems by contributing to all phases of algorithm development including ideation, prototyping, design and production; Scale our data processing pipelines to handle and maintain complex processes in an efficient and reliable way that are available, scalable, and fault tolerant'; Build scalable production systems for data collection, data transformation, feature extraction, model training, and scoring, using distributed software tools; Work with data science to define data ingestion standards and assist with data-related technical issues; Partner with product development team to understand various opportunities and use cases; Maintain specifications and metadata; create and maintain documentation; Build Communities-of-Practice in key data technologies.

Senior Staff Data Engineer

Komodo Health
San Francisco
2 days ago
The Data Engineering (DE) team is looking for Staff Data Engineers to help us lead projects that will further our tech stack related to data, helping us develop data processing that is scalable, reliable and automated. This is an opportunity to join a growing company, and be a part of a team of folks accomplished in diverse Engineering disciplines; focused on using the best of what lies at the forefront of technology and skills to address complex, real-world problems in the Healthcare and Life Science space. Some of the tools we use are: Python, Spark, AWS, Kubernetes, Docker, Postgres, Git, Airflow and Flask.

Senior Data Quality Lead

Data Engineering Manager

Senior Data Engineer

Senior/Principal Data Engineer (Data Insights)

Rally Health
San Francisco
2 days ago
As an integral member of Data Engineering team, the Data Engineer, BI would be responsible for the design, development, implementation, and support of critical enterprise E2E Data ETL solutions in Hadoop and/or Databricks, sourcing data from HDFS, Amazon Redshift, MongoDB, Postgres or Kafka based push pipelines and utilizing Python, Spark, and Hive. These data solutions would assist internal and external stakeholders with their tactical and strategic decisions. 

Data Architect

Principal Software Engineer, Big Data Platform

Senior Software Engineer, Big Data

Cisco Meraki
San Francisco
2 days ago
+53
We are looking for a Senior Big Data Engineer to join our Strategy & Data Science team in San Francisco. The Strategy & Data Science department is a growing group that works closely with executives and leaders across the company to support the development of and alignment on our business strategy. As part of this team, you will develop cross-functional relationships and work closely with multiple engineering and product teams to drive near- and longer-term initiatives to improve our product, and customer experience. This would be an outstanding fit for a hand-on technical professional who is a self-starter, has the ability to work autonomously, can drive technical collaborations and mentor other team members on Big Data technology stack.

Senior ML Engineer- Data Platform

Lead Data Engineer

Architect, AI Infrastructure

Senior Software Engineer, Platform - Database Engi…

Recurly
San Francisco
2 days ago
+43
As a Database Engineer at Recurly, your focus is on reliability, security, and scale. You’re passionate about systems management, championing best-in-class data practices, and eager to help other technology teams across the organization. With strengths and disciplines in automation, stability, and performance, you make a critical impact to our company and culture.

Senior Data Engineer

Fivestars
San Francisco
2 days ago
+23
Build and maintain data infrastructure (Redshift/Presto/Kinesis/Glue/EC2/S3/etc.). Create data pipelines to/from external partners using Python and other tools. Use NLP to clean and consolidate data. Establish and use workflow-management tools to orchestrate solutions. Monitor and improve pipeline and data-warehouse performance.

Senior Data Engineer, ETL & Quality Assurance

Ellation
San Francisco
3 days ago
We’re looking for a Data Engineer to join our team in San Francisco. What does this role entail? It involves working with our world class data team to define, design and implement complex data pipelines and integrations that enable analytics, power our recommendations engine and automate marketing automation solutions. This role has an emphasis on data quality and governance, and will initially focus on implementing a robust data quality framework that includes monitoring, alerting and forecasting within our pipeline. 

Senior Data Engineer

Strava
San Francisco
3 days ago
Every day, Strava collects massive amounts of information from athletes all over the world. Both our core business strategies and product vision are fueled by this data. We are looking for a data engineer to help us unlock the potential of our dataset and scale our analytics capabilities to support both internal customers and our athletes. You will be responsible for building and maintaining infrastructure and custom tooling to enable the next generation of features and analysis at Strava.

Senior Software Engineer, Data

Ripple
San Francisco
3 days ago
Build real-time data pipelines and tools to keep pace with the growth of our data and its consumers. Build foundational systems and services that allow users to focus on business and application logic via higher-level programming models. Design and implement systems for scalability, availability and graceful degradation. Identify and automate manual processes to optimize data delivery. Develop frameworks to ensure the delivery of high-quality data and analysis to stakeholders. Integrate with other Ripple products/applications for data needs. Collaborate with internal and external partners in designing cross-functional products.

Staff Software Engineer, Data

Senior Business Intelligence Data Engineer

Fastly
San Francisco
3 days ago
The Business Intelligence team is building a modern data stack to drive data-driven decision-making across the company as we grow. We are looking for a Senior BI Data Engineer to join our Business Intelligence Team who is excited to work in a collaborative and fast-paced environment, is proactive, and is passionate about the ever-evolving data space. This role will provide the opportunity to work closely with business partners and to implement data solutions that empower data-driven culture across the company. This role reports to the Senior Manager, Business Intelligence, and will be based in San Francisco, CA.

Software Engineer, Data

Gusto
San Francisco
4 days ago
+30
Be an owner as you architect, build, and refine our data infrastructure technologies, using our development workflow — the outcome of your work will drive decisions that affect billions of dollars of transactions. Build and refine a fault-tolerant data ingestion pipeline into our data warehouse, while helping guide the decisions about the future of our data infrastructure. Thoroughly evaluate edge cases, ambiguities, and architectural scalability. Write complex and efficient queries to transform raw data sources into easily accessible models for our teams (e.g., Product, Growth, Finance, Risk). Work with data scientists to productize and develop predictive modeling pipelines. Care deeply about helping millions of small business owners focus on what they love. Be surrounded by people who are doing the best work of their lives and loving every moment of it.

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