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Data 400K Jobs (NOW HIRING)

Pear

Frontend Engineer - TeachShare

New York, NY · On-site +1

$100/hr

We're a fast-growing EdTech startup (surpassing revenue milestones, 400K+ teachers) backed by top ... Ship A/B tests through PostHog, implement feature flags, and iterate based on data * Rapid ...

Anson McCade

Equity Vol Strat

Manhattan, NY

$400K/yr

$250-400k USD Onsite WORKING Location: New York, New York - United States Type: Permanent Equity ... Develop and maintain tools for market data analysis, including implied volatility fitting and ...

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Data 400K information

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$44.5K

$129.7K

$177.5K

How much do data 400k jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data 400k in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 background in mathematics or computer science, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data-driven decision making that can drive business performance and innovation.

What are some common challenges faced by data analysts working with large-scale datasets, and how are these typically addressed in professional environments?

Data analysts working with large-scale datasets often encounter challenges such as data quality issues, slow processing speeds, and difficulties in data integration from multiple sources. To address these, organizations typically invest in robust data infrastructure, such as distributed computing platforms and cloud-based tools, to handle large volumes of data efficiently. Analysts are also encouraged to develop strong data cleaning and transformation skills, and to collaborate closely with data engineers and IT teams to ensure data pipelines run smoothly. Regular training and cross-functional meetings help keep everyone aligned on best practices for managing big data.

What are Data 400K jobs?

Data 400K jobs typically refer to high-level data-related roles, such as data scientists, data engineers, or chief data officers, that offer annual salaries around $400,000 or more. These positions usually require advanced expertise in data analysis, machine learning, big data technologies, and significant experience in the field. Professionals in these roles often lead data strategy, oversee large teams, and drive critical business decisions using data. They are most commonly found in industries like finance, tech, and consulting where data-driven decision-making is crucial.

What is the difference between Data 400K vs Data Analyst?

AspectData 400KData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; certifications like Microsoft Data AnalystBachelor's in related field; certifications like Microsoft Data Analyst or SQL certifications
Work EnvironmentData centers, analytics firms, large corporationsBusiness offices, consulting firms, tech companies
Industry UsageData engineering, analytics, big data projectsBusiness intelligence, reporting, data interpretation

Data 400K typically refers to a specialized data engineering or big data role involving large-scale data processing, while Data Analyst focuses on interpreting data to inform business decisions. Both roles require similar educational backgrounds and certifications, but Data 400K often involves working with more complex data infrastructure and tools. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Infographic showing various Data 400K job openings in the United States as of May 2026, with employment types broken down into 79% Part Time, and 21% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Machine Learning Engineer

PRIMIS , Inc. Defunct

Manhattan, NY • On-site

$400K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

ML Engineer / Researcher - Computer Vision (Generative Media)
Goal: Make generative media go from idea to screen - put a creative studio in everyone's hands.
You will:
  • Build CV systems that generate minutes of studio-grade, coherent video (no flicker, no warping, no broken details).
    Turn pro editing tools into model controls: relighting, grading, matting, retiming, camera moves, typography - all inside the generator.
  • Guarantee "ship-ready" output via quality signals and self-repair loops that catch and fix artifacts before delivery.
  • Orchestrate multi-shot workflows (storyboard shots renders revisions) with character/style continuity and asset memory across scenes.
  • Serve at scale via distillation, quantization, streaming/progressive render, and multi-GPU orchestration with sub-second previews.
  • Power the system with a data engine: curation, hard-case synthesis, preference learning - collaborating with artists to encode editorial taste.
What you bring:
  • Broad knowledge of computer vision literature.
  • Experience developing CV models for images and video.
  • Deep expertise in generative models for video.
    Onsite NYC
    $200-400k base + equity

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