As a Software Engineer at in Mozilla's Data Engineering team, you’ll be taking a lead role in a cross-functional team to ensure the quality of data and insights, from product instrumentation through to the applications we use to perform analysis. You will be sharing responsibility for setting the vision and strategy for our multi-language, cross-platform, browser-scale data collection tools.
You'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Software & Data Engineers who are passionate about marrying data with emerging technologies. You’ll have the opportunity to be on the forefront of building a modern enterprise data platform that powers over $60 billion in annual transaction volume for over 100 million active payment cards.
Lead the development and enhancement of a secure, scalable, and efficient data platform for a high-profile government client. This role is pivotal in designing and delivering batch and real-time data processing solutions using both commercial and open-source technologies. As a technical leader, you'll be responsible for leading data engineering efforts, mentoring junior engineers, and ensuring data architecture aligns with business and compliance requirements.
This role focuses on building intelligent systems that transform unstructured documents and structured system data into actionable knowledge, connected via an evolving knowledge graph. This position will develop and integrate named entity recognition (NER), topic modeling, correlation algorithms, and a recommendation system to link extracted insights across domains powering intelligent applications for decision support, analytics, and automation.
You’ll play a key role in helping customers stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.
The Data Warehouse Platform team is looking to hire a Staff software Engineer who is excited to solve large scale data platform and efficiency challenges. As a staff engineer, you will work within and across teams to create and improve scalable, fault tolerant, self-serve systems. You will also create and execute a strategy to ensure a high level of end-to-end data quality and help shape the data culture across all of Reddit!
You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. Activities include writing DBT SQL pipelines, using Python/R with Hex.tech to conduct statistical analysis, and working in Sigma Computing to find insights in our customer journey.
The Population Health Analytics team needs a Data Engineer to help build an in house application to modernize and centralize Analytics efforts at Privia Health. The Value Based Care Data Engineer will work with the Analytics Engineering Director to design, test and implement infrastructure supporting the needs of healthcare analysts, clinicians and stakeholders. This position offers creative freedom and exploration of healthcare's informatics problems.
Be the first Senior Data Scientist to join our Central Data Team and build our data science function from the ground up, leading the charge in developing advanced data products that will directly fuel our Product & Marketing strategies. Design and develop custom-built solutions, including LLMs, predictive models for forecasting, recommendation systems, and causal inferences. Contribute to building Remote’s data science culture and processes.
Seeking an English-fluent Data Engineer, based in Latin America, available to work remotely. The ideal candidate would enhance and maintain the infrastructure powering our analytics and data products, ingest new data from files, APIs, and external databases into a centralized data store. You would also implement and enforce data governance policies, ensuring adherence to best practices in data security, integrity, privacy, and regulatory compliance.