MTS, Data Infrastructure Engineer at Delphina

California, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

PythonRustC++GoJavaDistributed SystemsData OrchestrationCI/CDCloud DeploymentArchitecture DesignData Store Technologies

Questions & Answers

Common questions about this position

What is the location and work arrangement for this role?

The position is based in San Mateo, CA, requiring in-person presence 2 days per week with remote options available.

What is the salary for this Data Infrastructure Engineer position?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need hands-on experience building distributed systems including real-time streaming and batch processing, proficiency in languages like Python, Rust, C++, Go, or Java, knowledge of deploying high-availability cloud systems, and experience designing service-oriented architectures.

What is the company culture like at Delphina?

This is a key early hire opportunity with broad impact on product, technology, and company culture, emphasizing a growth mindset, continuous learning, and cross-functional leadership.

What makes a strong candidate for this position?

A strong candidate has hands-on experience with distributed systems, proficiency in relevant programming languages, cloud deployment knowledge, architecture design skills, and a growth mindset focused on continuous improvement.

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.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$7.3MTotal Funding

SEEDCompany Stage

Data & Analytics, AI & Machine LearningIndustries

11-50Employees