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150K Data Jobs (NOW HIRING)

AI Data Engineer

$117K - $140K/yr

Senior AI Data Engineer (Agentic Systems) Location ... USA / Europe / Israel - with a 5hour overlap with EST hours Compensation: $130K - $150K We are ...

Data Analyst, Senior - DHS

Washington, DC ยท On-site

$110K - $150K/yr

Data Analyst, Senior - DHS Location: Cobec Site/Remote, with some travel to Client Site in ... Yes Salary Range: $110- $150k Security Requirements Must be a US citizen or a legal resident for ...

Senior Applied Data Scientist

Boston, MA ยท On-site +1

$150K - $180K/yr

In short, you'll be a full-stack applied data scientist and software developer. 3Play Media has ... Compensation & Location Base salary range: $150k - $180k Location: Remote -- United States ...

... 150K - $180K The base salary Clarium offers may vary depending upon the ultimate scope and ... data and engineering roots at a stage where your work genuinely shapes the product Equal ...

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150K Data information

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$46K

$165K

$243.5K

How much do 150k data jobs pay per year?

As of Jun 14, 2026, the average yearly pay for 150k data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What jobs make 144k a year?

Jobs that typically pay around $144,000 annually include senior roles such as software engineers, data scientists, IT managers, financial managers, and specialized healthcare professionals like anesthesiologists. These positions often require advanced skills, experience, and sometimes certifications, and may involve working in high-demand industries or leadership roles.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or data science. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and SQL databases is typically required. Exceptional problem-solving abilities, attention to detail, and clear communication help analysts interpret data and present findings effectively. These skills are crucial for transforming complex datasets into actionable insights that drive informed business decisions.

What are some typical challenges faced by data professionals working with large-scale datasets in high-stakes environments?

Professionals managing large-scale datasets, especially in roles with high-value data (such as '150K Data'), often face challenges related to data quality, scalability, and security. Ensuring data integrity and accuracy can be demanding when dealing with massive volumes of information. Additionally, optimizing data pipelines for efficient processing, while adhering to privacy and compliance standards, is crucial. Close collaboration with engineering, analytics, and business teams is common to ensure that insights derived from the data are actionable and aligned with organizational objectives.

What are 150K Data jobs?

150K Data jobs refer to roles in the data industry, such as data scientists, data engineers, or analytics managers, that offer salaries around $150,000 per year. These positions typically require advanced skills in data analysis, programming, and statistical modeling, often combined with several years of experience. The demand for data professionals has increased significantly as companies rely more on data-driven decision making. Earning a $150K salary in this field often involves working with big data technologies, cloud platforms, and machine learning tools. Professionals may work in various industries, including tech, finance, healthcare, and retail.

What jobs pay around 150K?

Jobs that typically pay around $150,000 include roles such as senior software engineers, data scientists, IT managers, financial managers, and certain specialized healthcare professionals. These positions often require advanced skills, experience, and sometimes certifications, and may be found in technology, finance, or healthcare industries.

What kind of jobs in media bring in 150,000 a year?

High-paying media jobs that can earn around $150,000 annually include roles such as media executives, senior producers, and digital content directors. These positions typically require extensive experience, strong leadership skills, and proficiency with industry tools like Adobe Creative Suite or content management systems. Salaries vary based on company size, location, and individual expertise.

What is the difference between 150K Data vs Data Analyst?

Aspect150K DataData Analyst
Required CredentialsBachelor's degree, certifications like SQL, Python, or data analysis toolsBachelor's degree, often similar certifications in data tools
Work EnvironmentCorporate offices, tech firms, finance, healthcareBusiness environments, consulting firms, tech companies
Industry UsageHigh in tech, finance, consulting, healthcareWidespread across industries including marketing, finance, and tech

While both roles involve working with data, 150K Data typically refers to a salary level for data professionals, whereas Data Analyst is a specific job title. The roles often require similar skills and certifications, and they operate in comparable work environments. The main difference is that 150K Data emphasizes compensation, while Data Analyst describes the job function.

What is the highest paying job in data?

The highest paying jobs in data often include Chief Data Officer (CDO) and Data Science Director roles, which can earn over $150,000 annually. These positions typically require extensive experience, advanced skills in data management, analytics, and leadership, and often involve overseeing data strategy and governance at an organizational level.
Infographic showing various 150K Data job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

People Operations, Data

Etched

San Jose, CA โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision

Posted 24 days ago


Job description

About Etched

Etched is building the worldโ€™s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

Weโ€™re hiring someone to own how data informs decisions about talent, performance, and org design.

This role is closer to business operations than traditional HR. You will define how leaders understand their teams, where the organization is breaking, and what to do about it. The work spans data, systems, and execution. You should be comfortable operating in ambiguity, building structure, and driving changes that stick.

Key Responsibilities

  • Own the people data foundation

    • Build and maintain data pipelines across HRIS, recruiting, performance, and finance systems

    • Create a reliable source of truth for headcount, hiring, productivity, and organizational health

    • Ensure reporting and operational data remain accurate and reliable as the company scales

    • Identify stale data, workflow gaps, and operational inconsistencies before they impact decision-making

  • Drive decision-making through data

    • Build dashboards and reporting on hiring, retention, onboarding, org changes, and workforce

    • Run monthly and quarterly operational reviews on hiring, retention, and org health

    • Use leading indicators to surface issues quickly, quantify impact, and drive to

  • Build core people systems

    • Design and implement performance management, internal mobility, and workforce planning processes

    • Build simple, high-leverage systems that scale without adding overhead

  • Lead cross-functional initiatives

    • Partner with People, Finance, Recruiting, and Engineering on projects tied to growth and efficiency

    • Examples include hiring funnel optimization, org restructuring, and cost versus productivity analysis

  • Ship tools and dashboards

    • Build internal tools and reporting that leaders use without prompting

    • Automate recurring operational work and reduce manual reporting

    • Improve operational visibility, execution speed, and workflow reliability across internal systems

You may be a good fit if you have (Must-have qualifications)

  • 2 to 5 years in people operations, business operations, recruiting operations, analytics, program management, consulting, or similar execution-heavy environments

  • Track record of taking ambiguous problems through execution

  • Strong technical skills in SQL and at least one of Python or R, plus experience with BI tools

  • Ability to work with senior stakeholders and communicate clearly

  • High standards for structure and follow-through

Strong candidates may also have experience with (Nice-to-have qualifications)

  • Experience with HRIS and recruiting systems such as Rippling and Ashby

  • Exposure to organizational design, workforce planning, or compensation systems

  • Experience building internal tools, automations, and operational workflows

Benefits

  • Medical, dental, and vision packages with generous premium coverage

    • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Jose (Santana Row)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch and dinner in our office

  • Unlimited compute budget subject to ROI justification

How weโ€™re different

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Compensation Range: $150K - $200K