Software Engineer - Data Science
A company is looking for a Software Engineer - Data Science Products (Python, R, GCP).Key ResponsibilitiesDevelop scalable and reliable enterprise-level software systems using R and PythonContribute to software architecture design and troubleshoot system issuesParticipate in Agile SCRUM processes and collaborate with cross-functional teamsRequired Qualifications2+ years of software development experience in programming languages such as Python or JavaExperience with PostgresSQL and developing software systems in a GCP Cloud environmentFamiliarity with RESTful APIs, microservices, and data exchange formatsExperience using Git, GitHub, and CI / CD pipelinesBachelor's or Graduate degree in a technical field such as Computer Science
Sr. Software Engineer, Data
Analytics Engineering is a team within the larger Data Engineering org that works closely with Finance, Analytics, Product, Marketing, and other engineering teams to make data as easily consumable as possible. As a Senior Software Engineer, Data on the Analytics Engineering team, you will have the o...
Software Engineer, Big Data Infrastructure, 11+ Years of Experience
We are looking for a Software Engineer to join the Big Data Infrastructure team!What you’ll do:. In-depth experience building and operating data systems at scale, with a focus on big data processing (either batch or streaming). Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or ot...
Senior/Staff Software Engineer - Data Platform
The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace. The data engineer will also b...
Backend Software Engineer Intern (TikTok Data Ecosystem, Storage)- 2025 Summer (BS/MS)
The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools...
Staff Software Engineer, Data Lake Ingestion
This role is highly cross-functional, requiring you to collaborate closely with Data Science, Data Engineering, and Product teams to understand customer requirements, and with Data Platform and Storage teams to develop integrated solutions. As a Staff Software Engineer, you will lead the development...
Senior SRE Software Engineer - Storage and Data Services
It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Support services before they go live through activities such as system design consulting, developing software and frameworks, capacity management, launch reviews, managing data...
Software Engineer - Data Privacy
We integrate our functionalities deeply into Apache's big data ecosystem (Spark, Hive, Presto), and build a world-class data security & privacy framework to support high efficient and seamless data life cycle management. The team is missioned to ensure the privacy and safety of company-level dat...
Software Engineer, Data Platform
Technical expertise regarding data models, database design and development, data mining and segmentation techniques. Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies. Keep our data secure through multiple data centers a...
Software Engineer, Data Infra Mountain View, California, United States
Collaborate with data scientists and platform engineers to understand data needs and drive key data infrastructure decisions across application teams. Implement, maintain and optimize data pipelines, architectures and data sets. Own these data models and be a data POC across teams. Experience with d...
Software Engineer - Data Infrastructure - Kafka
The data platform team is a collaborative team that develops managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach). The data platf...