Staff Data Platform Engineer

March 12

🏢 In-office - Bay Area

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Logo of Dexterity, Inc.

Dexterity, Inc.

Autonomous robots with human-like dexterity.

51 - 200

Description

• Shape and build infrastructure that ingests sub-millisecond sensor data as well application logs generated on-premise and makes it available to cloud data consumers with real-time performance • Design, implement, and optimize the performance of distributed data platforms (distributed systems) spanning from the edge to the cloud with security, reliability and network constraints in mind • Architect and design the data pipelines for AI/ ML heavy workloads in mind in order to extract crucial insights from the data • Work with product teams across the company to identify the needs of data and build out features • Have a good knowledge of data modeling and distributed systems like Spark, Hadoop, kafka, Elasticsearch etc • Help build a fast-growing team by mentoring other engineers and contribute to Dexterity’s strong customer focused culture • Tech-lead several key initiatives and define the future Dexterity big data pipelines and platform

Requirements

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience • 10+ years of experience in software design, data engineering, data processing at scale and basic algorithm related solutions • 7+ years of programming experience in Java, Python, C/C++, Rust, Go, or other relevant coding languages • Hands-on experience developing/managing distributed systems or other large-scale systems

Benefits

• Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. • The annual base salary range for this position is from $180,000 to $250,000. • The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis. • Equal Opportunity Employer • We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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