ZipRecruiter

Log In

1

Presto Experts Jobs in California (NOW HIRING)

Apple

Sr. Data Engineer, iCloud

Cupertino, CA · On-site

$141K - $169K/yr

... data experts with diverse skill set, and deliver excellent solutions that better enable our ... Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines Highly proficient ...

Apple, Inc.

Sr. Data Engineer, iCloud

Cupertino, CA · On-site

$141K - $169K/yr

... data experts with diverse skill set, and deliver excellent solutions that better enable our ... Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines Highly proficient ...

Socket.dev

Sr. Data Engineer, iCloud

Cupertino, CA · On-site

$180 - $240/hr

... data experts with diverse skill set, and deliver excellent solutions that better enable our ... Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines * Highly ...

New

Zipstack

$144K - $190K/yr

We empower domain experts with low-code / no-code tools, enabling them to be data product owners ... Experience with Spark, Presto, Flink, Hadoop * Experience with Apache Airflow * Experience building ...

Apple

Sr. Data Engineer, iCloud

Cupertino, CA

$184K - $324K/yr

... data experts with diverse skill set, and deliver excellent solutions that better enable our ... Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines Highly proficient ...

Apple

Sr. Data Engineer, iCloud

Cupertino, CA

$184K - $324K/yr

... data experts with diverse skill set, and deliver excellent solutions that better enable our ... Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines Highly proficient ...

All JobsPresto Experts JobsPresto Experts Jobs in California

Presto Experts information

See California salary details

$8

$32

$63

How much do presto experts jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for presto experts in California is $32.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $49.90 per hour, depending on experience, location, and employer.

What is a Presto Expert?

A Presto Experts job involves providing professional advice, tutoring, or consulting services in various fields through the Presto Experts platform. Experts sign up, create a profile, and offer their expertise in areas like technology, business, health, education, and more. Clients seek assistance, and experts earn money based on the time spent helping them. This job offers flexible hours and remote work opportunities.

What skills and qualifications are needed to thrive as a Presto Expert?

To excel as a Presto Expert, you need in-depth knowledge of distributed SQL query engines, strong expertise in SQL, and experience with big data analytics platforms, typically supported by a degree in computer science or a related field. Familiarity with the Presto (or Trino) engine, cloud data warehouses, and tools such as Hadoop and AWS is commonly required, and certifications in data engineering or cloud technologies are advantageous. Excellent problem-solving skills, communication abilities, and a collaborative mindset help you effectively support teams and troubleshoot complex data environments. These competencies are critical for optimizing data workflows, ensuring efficient query performance, and enabling organizations to make data-driven decisions.

What are the most common challenges faced by Presto Experts, and how do they address them?

Presto Experts often encounter challenges such as optimizing distributed query performance, managing data security, and ensuring seamless integration with diverse data sources. They address these challenges by fine-tuning system configurations, writing efficient SQL queries, and leveraging monitoring and diagnostic tools to identify bottlenecks. Collaboration with data engineers, analysts, and IT teams is essential to ensure data integrity and scalability. Staying current with updates to Presto and related technologies also helps them proactively solve issues and deliver high-performance data solutions to their organization.

What are popular job titles related to Presto Experts jobs in California?

For Presto Experts jobs in California, the most frequently searched job titles are:

What job categories do people searching Presto Experts jobs in California look for?

The top searched job categories for Presto Experts jobs in California are:

Presto Experts jobs near you
Infographic showing various Presto Experts job openings in California as of August 2026, with employment types broken down into 6% Internship, 76% Full Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $67,519 per year, or $32.5 per hour.

Data Infrastructure Engineer (Query Engine)

zaimler

San Mateo, CA • On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

About Us
We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken.
Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges.
Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI.
Who You Are
  • Thrives in early-stage environments, eager to build robust systems from scratch.
  • Passionate about distributed systems and solving complex data challenges at scale.
  • Able to navigate ambiguity and adapt to changing requirements in a fast-paced startup.
  • Advocates for engineering efficiency and continuous improvement.
  • A leader who enjoys mentoring others and fostering a strong engineering culture.
  • Excited to work cross-functionally with a team that values transparency, purpose-driven innovation, and collective leadership.

What You Will Be Doing
  • Design and Develop: Build scalable, fault-tolerant query engines optimized for performance and resource efficiency.
  • Optimize Performance: Apply advanced techniques such as vectorized processing, cost-based optimization, and caching to enhance query execution.
  • Integrate Seamlessly: Develop integrations with modern data lake formats (e.g., Apache Iceberg, Delta Lake, and Hudi) and semantic layers.
  • Innovate in Distributed Systems: Architect solutions to handle concurrency, scalability, and reliability in distributed environments.
  • Leverage Open Source: Contribute to or extend platforms like Apache Spark, Presto, and Trino to meet unique product requirements.
  • Collaborate: Work with product, data science, and engineering teams to align technical solutions with business needs.
  • Stay Current: Research and implement the latest advancements in query processing and distributed systems.

Prior Experience
  • Proficiency in programming languages such as Java, Scala, Rust, or C++.
  • Deep understanding of query engine internals, distributed systems architecture, and parallel query processing.
  • Experience with modern big data technologies (e.g., Apache Spark, Presto, Trino) and data formats like Parquet, ORC, or Avro.
  • Proven ability to build and optimize scalable systems capable of processing petabyte-scale datasets.
  • Strong grasp of SQL semantics, execution plans, and query optimization techniques.

Nice to Have
  • Experience in building AI/ML infrastructure and ML production systems at scale.
  • Hands-on experience with Linux, Docker, and other containerization technologies.
  • Prior experience at an early-stage startup, developing systems and processes from scratch.

Why Join Us?
We're a fast-moving, well-funded startup based in San Mateo, working onsite with flexible hours because the best ideas happen when smart people collaborate in person. We take ownership of our work, move with urgency while maintaining quality, and focus on delivering real results-not just effort. We offer competitive compensation, equity, full benefits (Medical, Dental, Vision, 401k), and a workspace built for collaboration, transparency, and deep technical problem-solving.
We sponsor H-1B visas and assist with immigration processes to bring the best minds together!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply