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Home Based Data Detective Jobs (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

... based data solutions. * Partner with Fraud, Risk, Compliance, and Business teams to deliver ... Strong BFSI, Payments, FinTech, or Fraud/Risk domain experience, including fraud detection, AML ...

1 point system

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... based data platforms for a Cyber Threat Operations Center (CTOC). * This role combines hands-on ... detection, analytics, reporting, and operational decision-making. * While classified as a junior ...

Immersion Consulting

Senior Data Engineer

$108K - $147K/yr

The position supports advanced analytics, machine learning operations, fraud detection initiatives, and investigative activities by delivering scalable, secure, and sustainable Azure-based data ...

Socket.dev

Lead Data Scientist

Irving, TX · On-site

$140 - $200/hr

... and script-based workflows. TELECOM & GEOSPATIAL REQUIREMENTS (MUST HAVE) * Telecom Domain ... Monitor models in production to detect and remediate data and concept drift. * Experimental Design:

R1

Senior Clinical Data Operations Analyst III

$65K - $145K/yr

Serve as a front-line data detective for PhareOS: execute SQL-based validation of HL7, FHIR, and batch healthcare data across every layer of the pipeline, from raw source through standardized tables.

R1

Senior Clinical Data Operations Analyst III

$65K - $145K/yr

Serve as a front-line data detective for PhareOS: execute SQL-based validation of HL7, FHIR, and batch healthcare data across every layer of the pipeline, from raw source through standardized tables.

ABA Journey

Home-Based ABA Therapist

Talking Rock, GA

$24 - $30/hr

Collect and document data on client progress. * Collaborate with families and team members to ... Shifts: Flexible, based on your availability * Location: Talking Rock, Ga Registered Behavior ...

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Showing results 21-40

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Home Based Data Detective information

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$10

$69

$94

How much do home based data detective jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for home based data detective in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is the difference between Home Based Data Detective vs Data Analyst?

AspectHome Based Data DetectiveData Analyst
CredentialsTypically requires data analysis certifications or related trainingOften requires a degree in data science, statistics, or related fields
Work EnvironmentPrimarily remote, working independently from homeCan be remote or in-office, often part of a team
Employer & IndustryFreelance or remote positions across various industriesCorporate, finance, marketing, and tech sectors
Search & Comparison IntentUnderstanding roles involving remote data investigation and problem-solvingAnalyzing data to inform business decisions

The main difference is that a Home Based Data Detective focuses on investigating and uncovering insights from data remotely, often with a problem-solving approach, while a Data Analyst typically performs structured data analysis to support business strategies. Both roles require analytical skills, but their work scope and environment differ.

How to become a home based data detective?

To become a home-based data detective, develop strong analytical and research skills, proficiency in data analysis tools like Excel or SQL, and attention to detail. Gaining experience in data investigation, understanding cybersecurity basics, and obtaining relevant certifications can enhance your qualifications for this role.
More about Home Based Data Detective jobs
What are the most commonly searched types of Data Detective jobs? The most popular types of Data Detective jobs are:
What job categories do people searching Home Based Data Detective jobs look for? The top searched job categories for Home Based Data Detective jobs are:
Home Based Data Detective jobs near you
Infographic showing various Home Based Data Detective job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Senior Data Engineer, Engineering Data Analytics

Nvidia Corporation

Santa Clara, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 2 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies

Job description

The NVIDIA Operations organization is seeking an experienced data engineering professional for the position of Senior Data Engineer, Engineering Data Analytics. As a member of our team, you will be an integral part of building cloud-based data platforms that support engineering analytics, reporting, and AI-assisted insights! You will work on data tools used in the testing and analysis of semiconductor chips, boards, systems, and servers. Our team develops an in-house suite of tools that process engineering logs and test data into trusted data platforms, analytics products, and custom visualizations for large-scale data analysis.
This role will help turn complex engineering data into reliable information, actionable insights, and business results. You will partner with engineering, IT, data, cloud, UI, and implementation teams to design data models, data pipelines, curated analytics layers, and scalable architectures based on data sources, data locations, and engineering use cases.
What you will be doing:
  • Build and evolve trusted engineering analytics datasets, data models, and data products for semiconductor product, manufacturing, and test data.
  • Translate complex domain concepts into reliable data structures, metric logic, validation rules, and reusable analytics layers.
  • Own and improve curated data layers, including prep/fact tables, silver/gold datasets, semantic views, and analytics-ready outputs.
  • Partner with product engineering, UI, and data engineering teams to turn ambiguous engineering questions into scalable data solutions.
  • Define data quality checks, acceptance criteria, and validation frameworks for production analytics data.
  • Provide technical direction by defining standards, reviewing designs, and ensuring long-term maintainability.
  • Help guide the evolution of data architecture across modern warehouse, data lake, and lakehouse technologies such as Redshift, S3/Athena, and Databricks.
  • Support AI-enabled analytics by building well-governed, semantically clear datasets for AI-based exploration, natural-language analytics, anomaly detection, prediction, and recommendations.
  • Optimize data pipelines and analytics datasets for correctness, performance, scalability, reliability, and cost.

What we need to see:
  • Strong SQL skills, including advanced SQL concepts such as window functions, CTEs, complex joins, aggregation patterns, query optimization, and analytical query design.
  • Strong Python skills, or equivalent experience building data-intensive software systems.
  • Experience designing data models, analytics datasets, data products, or application data layers.
  • Experience building or owning production data pipelines, data platforms, or analytics systems.
  • Strong understanding of data correctness, table grain, lineage, metric definitions, validation rules, and data quality standards.
  • Ability to learn complex technical domains and identify when data outputs are technically valid but semantically wrong.
  • Ability to work multi-functionally with domain experts, engineers, product/UI teams, and data engineering teams while providing technical ownership and judgment.
  • Interest in applied AI/ML and how trusted data foundations enable AI-based exploration, anomaly detection, predictive analytics, and recommendations.
  • Bachelor's or Master's degree in Computer Science or Computer Engineering or Electrical Engineering (or equivalent experience) and 8+ years of relevant experience

Ways to stand out from the crowd:
  • Experience with semiconductor product engineering, test engineering, yield analytics, manufacturing analytics, quality, reliability, or hardware engineering data is a strong plus!
  • Experience with modern cloud data platforms, data lake, or lakehouse technologies such as S3, Athena, Glue, Redshift, EMR, Spark, Databricks, Delta Lake, or similar technologies.
  • Experience with AI/ML-enabled analytics, including LLMs, RAG, AI-based data exploration, natural-language-to-SQL, feature engineering, anomaly detection, prediction, or recommendation systems.
  • Experience building engineering analytics platforms, internal data products, or decision-support tools for technical users.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 9, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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