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Presto Experts Jobs in California (NOW HIRING)

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 ...

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Presto Experts information

See California salary details

$8

$32

$63

How much do presto experts jobs pay per hour?

As of Aug 6, 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 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 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 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 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 20% Internship, and 80% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $67,519 per year, or $32.5 per hour.

Software Engineer - Storage Infrastructure (Senior+)

Cogent Security

San Francisco, CA • On-site

$100K - $300K/yr

Full-time

Posted 2 days ago

New

Job description

About Cogent
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock & Bain Capital Ventures, and we've built a team with the best minds in applied AI. Our team is comprised of people from:
  • Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
  • Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
  • World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
  • Preeminent research labs like Deepmind and SAIL

About the Role
We're hiring a Senior Storage Infrastructure Engineer on our Core Platform team to own how we store, protect, and operate data at scale. You'll build the backup, observability, and operations layer across our relational, streaming, and analytical stores - and make it agent-forward.
This is a hands-on role for an engineer with deep data infrastructure experience, ideally sharpened at a data-focused startup.
What You'll Do
  • Standardize backup, restore, retention, and encryption policies across Aurora / RDS, Clickhouse, and MSK
  • Build storage observability dashboards for capacity, performance, replication, lag, and cost
  • Create a Storage Operations Agent for incident triage, slow-query investigation, and remediation workflows
What We're Looking For
  • Deep experience with data stores: Aurora RDS, Clickhouse, Kafka / AWS MSK, and Postgres
  • Experience with table formats and lakehouse patterns, including Iceberg
  • Strong coding in Python and Golang
  • Infrastructure-as-code skills with Terraform
  • 3-6 years at a successful tech company (Senior, Staff+)

Bonus Points
  • 1-2 years at a data-focused startup (Databricks, Snowflake)
  • Object and analytical storage experience: S3, GCS, Google BigQuery, AWS Athena, Presto, Parquet
  • Vector and graph stores: VectorDB, Turbopuffer, Puppygraph
  • A secondary spike in Observability Infrastructure
For California Based Applicants
The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Apply