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Key Data Operator Jobs in California (NOW HIRING)

Hatalom

System Analyst (On-Site)

Camp Pendleton, CA · On-site

Key responsibilities include: Assisting in the preparation of the ROSTER/Order of Battle and creating reports from exercise data. Leading the development of AARs and the Take Home Package. Operating ...

Hatalom

System Analyst (On-Site)

Camp Pendleton, CA · On-site

$75K - $85K/yr

... analyzing key data points. Key responsibilities include: • Assisting in the preparation of the ... Operating a desktop WinEXCON system to support the exercise and conduct Area Weapon Effect ...

Aerotek

Robot Operator/Data Collector

San Jose, CA

$28 - $33/hr

You play a key role in testing, data collection, and feedback, helping to refine cutting-edge robotics technology while maintaining a safe and organized workspace. Responsibilities * Wear sensor ...

LTM

Alation Data Governance Architect

Burbank, CA · On-site

$68.25 - $87.75/hr

... Key Responsibilities Define enterprise data governance framework policies standards operating model Architect and operationalize enterprise data marketplace Lead endtoend Alation implementation ...

Goodwill Southern Los Angeles County

Key Holder

Lakewood, CA · On-site

$14.75 - $18.50/hr

Ability to read and interpret documents such as safety rules, operating and maintenance ... Use sales data to identify trends and implement strategies for improvement. Trains and motivate ...

Goodwill Southern Los Angeles County

Key Holder

Gardena, CA · On-site

$14.25 - $17.75/hr

Ability to read and interpret documents such as safety rules, operating and maintenance ... Use sales data to identify trends and implement strategies for improvement. Trains and motivate ...

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Key Data Operator information

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How much do key data operator jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for key data operator in California is $20.52, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $21.11 per hour, depending on experience, location, and employer.

What jobs pay 500,000 a year in the US?

High-paying roles that can reach or exceed $500,000 annually include executive positions such as CEOs, CFOs, and other C-suite leaders, as well as specialized medical professionals like neurosurgeons and orthopedic surgeons. Certain investment bankers, hedge fund managers, and successful entrepreneurs also achieve this level of income, often requiring advanced skills, extensive experience, and significant responsibility.

What are the key skills and qualifications needed to thrive as a Key Data Operator, and why are they important?

To thrive as a Key Data Operator, you need strong data entry skills, attention to detail, and proficiency in basic computer operations, often supported by a high school diploma or equivalent. Familiarity with office software like Microsoft Excel, data management systems, and sometimes industry-specific databases is typically required. Excellent time management, accuracy under pressure, and effective communication help individuals excel in this position. These skills and qualities are vital to ensure data integrity, efficient workflow, and reliable information processing within an organization.

What jobs make $1,000,000 a year?

In the context of a Key Data Operator, earning $1,000,000 annually is uncommon, as such high salaries are typically associated with executive roles, successful entrepreneurs, or highly specialized professionals in finance, technology, or investment sectors. These positions often require advanced skills, extensive experience, and sometimes ownership stakes or performance-based bonuses. Most data-related roles, including key data operators, have salary ranges well below this level.

What are some common challenges faced by Key Data Operators and how can they be addressed?

Key Data Operators often encounter challenges such as managing large volumes of data with tight deadlines and ensuring high accuracy to prevent errors. Staying focused and maintaining attention to detail is essential, especially when repetitive tasks can lead to fatigue. Utilizing data validation tools, taking regular breaks, and double-checking entries can help minimize mistakes. Additionally, effective communication with team members and supervisors is important when clarifying data discrepancies or workflow issues.

What is a key data operator?

A key data operator is a professional responsible for entering, updating, and managing data in computer systems, often using specialized software or databases. They ensure data accuracy, integrity, and security, typically working with tools like spreadsheets or database management systems in a fast-paced environment.

What are Key Data Operators?

Key Data Operators are professionals responsible for entering, updating, and managing data in computer systems or databases. They ensure that information is accurately captured, maintained, and easily accessible for organizational needs. Their role often involves verifying data, correcting errors, and maintaining confidentiality of sensitive information. Key Data Operators play a crucial part in supporting business operations by keeping records organized and up-to-date.

What is the difference between Key Data Operator vs Data Entry Clerk?

AspectKey Data OperatorData Entry Clerk
Required CredentialsHigh school diploma, basic data management skillsHigh school diploma or equivalent, basic computer skills
Work EnvironmentOffice settings, data processing centersOffice environments, administrative settings
Employer & Industry UsageBusinesses handling large datasets, data processing firmsAdministrative departments, customer service centers
Search & Comparison IntentOften compared for data handling roles, technical skillsCompared for administrative data input tasks

The Key Data Operator typically manages larger datasets with a focus on data accuracy and processing, often requiring some technical skills. In contrast, a Data Entry Clerk primarily inputs data into systems, emphasizing speed and basic computer proficiency. Both roles are essential in data management but differ in scope and complexity.

What are 10 key data entry skills?

Key data entry skills for a Key Data Operator include high accuracy and attention to detail, fast typing speed, proficiency with data entry software and spreadsheets, good organizational skills, ability to follow instructions precisely, basic knowledge of database management, time management, confidentiality awareness, problem-solving abilities, and adaptability to new tools or processes. These skills ensure efficient and accurate handling of large volumes of data in various work environments.
What are popular job titles related to Key Data Operator jobs in California? For Key Data Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Key Data Operator jobs in California look for? The top searched job categories for Key Data Operator jobs in California are:
What cities in California are hiring for Key Data Operator jobs? Cities in California with the most Key Data Operator job openings:
Key Data Operator jobs near you
Staff Software Engineer - Data Platform

Staff Software Engineer - Data Platform

ID.me

Mountain View, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

ID.me rating

6.3

Company rating: 6.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

178th of 202 rated software companies

Job description

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.

At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

Role Overview

ID.me is seeking a Staff Software Engineer - Data Platform to lead the design, build, and operation of the core data infrastructure that underpins our identity platform. This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.

In this role, you'll own and operate key data infrastructure components — including event streaming platforms, relational databases, and batch processing systems — while driving automation and engineering best practices that improve data platform reliability and developer efficiency. You'll partner closely with Platform Engineering, Site Reliability Engineering, and Compliance teams to ensure ID.me's data ecosystem meets demanding operational, security, and regulatory requirements.

This is a hands-on technical leadership role for a data infrastructure engineer who thrives at the intersection of distributed systems, platform engineering, and data operations.

This role is based out of our Mountain View, CA office and requires full-time in-office attendance.

Responsibilities
  • Own and operate core data infrastructure, including event streaming, relational database, and batch processing platforms.
  • Design and implement highly reliable, observable, and scalable data systems that enable real-time and batch data processing.
  • Develop automation and guardrails for data governance, retention, and compliance, ensuring auditability and consistency across services.
  • Partner with application, platform, and SRE teams to improve data access patterns, reliability SLAs, and recovery processes.
  • Establish standards for data infrastructure monitoring, alerting, and capacity planning, ensuring proactive issue detection.
  • Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
  • Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.
  • Evaluate, implement, and operate event-driven and batch data platforms such as Kafka, Google Pub/Sub, Dataflow, or Temporal.
  • Lead incident response and root cause analysis for production data systems, contributing to postmortems and platform improvements.
  • Mentor engineers and advocate for reliability-focused engineering culture across teams.
  • Data lake architecture — Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.
Minimum Qualifications
  • Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field.
  • 8+ years of professional experience in data engineering, software engineering, or distributed systems development.
  • 6+ years of programming experience in one or more languages such as Go, Python, or Java, with emphasis on automation and data system integration.

Preferred Qualifications

  • Deep expertise in building and operating data systems—including relational databases, streaming, and batch platforms—in production environments.
  • Hands-on experience administering and optimizing PostgreSQL or other relational databases in the cloud (AWS RDS, CloudSQL, or AlloyDB).
  • Solid understanding of reliability engineering principles, including observability, SLOs, capacity management, and operational readiness.
  • Experience managing cloud infrastructure (AWS or GCP) using infrastructure-as-code tools like Terraform, Kubernetes, or Helm.
  • Experience operating event streaming platforms such as Kafka or Google Pub/Sub.
  • Experience with batch and stream processing systems, including Dataflow, Temporal, or Airflow.
  • Strong knowledge of data pipeline orchestration, change data capture, and schema management.
  • Background in automation, incident response, and data platform observability.
  • Familiarity with data governance and regulatory compliance frameworks (e.g., FedRAMP, GDPR, NIST).
  • Contributions to open-source data infrastructure projects or strong community engagement in the data reliability space.
  • Passion for performance engineering, system design, and mentoring others to deliver operational excellence at scale.
  • AI-assisted development — Demonstrable experience using AI developer tools (e.g., code generation, test generation, query synthesis) to accelerate platform automation while validating outputs through code review and tests.
  • Data-aware LLM usage — Ability to safely use large language models for tasks such as SQL generation, data lineage summarization, and runbook drafting while ensuring no sensitive data is exposed to external models and all prompts and outputs are logged for audit.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.

Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.

Mountain View, CA Pay Range
$217,565—$260,000 USD

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

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