Sr. Data Engineer II
TrueMLSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & AnalyticsIndustries
Requirements
Candidates should have hands-on experience in building distributed systems, including real-time streaming and batch data processing. Proficiency in multiple programming languages relevant for such systems, such as Python, Rust, C++, Go, and Java, is required. Knowledge about deploying and operating high availability production systems in the cloud is essential, along with experience designing service-oriented architectures and leveraging various data store technologies. A strong energy and ambition to build an exceptional product, as well as a growth mindset for continuous improvement, are also expected.
Responsibilities
The Data Infrastructure Engineer will develop solutions to orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, and online deployment. They will create platforms that enable scientists, researchers, and developers to run ML jobs easily and quickly at scale using the latest technologies. Additionally, they will define a consistent continuous integration/deployment model to encourage cross-functional development teams to self-service application unit testing, deployment, and operations. The engineer will also influence and lead cross-functional initiatives to align the team towards commonly used technologies and methodologies.
Skills
Python
Rust
C++
Go
Java
Distributed Systems
Data Orchestration
CI/CD
Cloud Deployment
Architecture Design
Data Store Technologies
Delphina
Machine learning solutions for data analytics
About Delphina
Delphina.ai provides machine learning and data science solutions that help businesses analyze trends and predict future outcomes. Their technology integrates with platforms like Snowflake and BigQuery, allowing clients to deploy data pipelines efficiently. Delphina operates on a software-as-a-service (SaaS) model, enabling clients to subscribe to access its user-friendly platform for creating unique data transformations. The company's goal is to empower organizations to leverage predictive AI for improved decision-making and operational efficiency.
Key Metrics
San Francisco, CaliforniaHeadquarters
2023Year Founded
$7.3MTotal Funding
SEEDCompany Stage
Data & Analytics, AI & Machine LearningIndustries
11-50Employees