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Large Dataset Jobs (NOW HIRING)

Electrosoft

Data Scientist

Manhattan, NY · On-site

$130K - $140K/yr

Strong ETL/ELT and large dataset processing experience. Familiarity with federal cybersecurity data (CVE, NVD, CISA KEV, RMF artifacts, VAPT deliverables). Understanding of HIPAA, PHI/PII controls ...

Centric Software

Technical Consultant

Campbell, CA · On-site +1

Experience with the manipulation of large dataset * Knowledge of retail, apparel, Food & Beverages or cosmetic industry * Knowledge of PLM applications at a strategic and operational level The US ...

Epitec

Logistics Risk Analyst

Santa Ana, CA · On-site

$41.42/hr

Experience with data analysis and large dataset handling * Working knowledge of SQL and BI tools * Strong analytical and quantitative skills * High attention to detail and data accuracy Preferred ...

InterSystems

Senior Quality Development Engineer

Boston, MA · On-site

$96K - $130K/yr

... large dataset orchestration • Build and maintain automation frameworks and validation tooling to support repeatable and reliable testing at scale • Develop and enhance validation systems and ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA

$85K - $150K/yr

Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based ...

Centric Software

Technical Consultant

Campbell, CA · Remote

Experience with the manipulation of large dataset * Knowledge of retail, apparel, Food & Beverages or cosmetic industry * Knowledge of PLM applications at a strategic and operational level The US ...

Apple

Calibration Algorithm Architect

Cupertino, CA · On-site

... large dataset handling and visualizationProven experience designing, building, and deploying AI-driven automated workflows and toolsExperience using LLMs and autonomous agents to solve complex ...

Leidos

Research Data Analyst

San Diego, CA · On-site

$57K - $104K/yr

... large dataset analysis, radar detection and characterization, and efficient software implementation. Good analytical and mathematical skills Demonstrated experience in MATLAB, Python, or similar high ...

Kaiser Aluminium

Metallurgical Engineer

Spokane, WA

$85K - $150K/yr

Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based ...

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All JobsLarge Dataset Jobs

Large Dataset information

See salary details

$47K

$98.6K

$140.5K

How much do large dataset jobs pay per year?

As of Jun 6, 2026, the average yearly pay for large dataset in the United States is $98,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist working with large datasets, and why are they important?

To thrive as a Data Scientist handling large datasets, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field. Expertise in programming languages like Python or R, familiarity with big data frameworks (such as Hadoop or Spark), and experience using data visualization tools are typically required. Strong problem-solving ability, attention to detail, and effective communication skills help in translating complex data findings into actionable insights. These skills are essential for extracting meaningful information from massive datasets, supporting data-driven decision-making, and driving business value.

What is the difference between Large Dataset vs Data Analyst?

AspectLarge DatasetData Analyst
Required CredentialsOften no formal degree, but knowledge of data managementBachelor's degree in data science, statistics, or related field
Work EnvironmentData storage, database management, data processingData interpretation, reporting, visualization
Industry UsageUsed across industries for storing and managing dataApplied in business, finance, healthcare for analysis
Search & Comparison IntentUnderstanding data volume managementAnalyzing data to generate insights

Large Dataset refers to the volume of data stored and managed, often requiring data engineering skills. Data Analysts focus on interpreting and visualizing data to support decision-making. While large datasets are the raw material, data analysts turn that data into actionable insights.

What are large datasets?

Large datasets are collections of data that are so vast in size or complexity that traditional data processing software struggles to manage, process, or analyze them efficiently. They are often associated with 'big data' and can include structured, semi-structured, or unstructured data from sources such as social media, sensors, business transactions, and more. Handling large datasets typically requires specialized tools and techniques for storage, computation, and analysis, such as distributed computing frameworks like Hadoop or Spark. These datasets are crucial in fields like data science, machine learning, and analytics, enabling deeper insights and data-driven decision-making.

What are some common challenges when working with large datasets, and how can professionals overcome them?

Professionals handling large datasets often face challenges such as ensuring data quality, managing storage and processing constraints, and optimizing data retrieval times. To overcome these, it's important to leverage scalable data storage solutions, such as distributed databases or cloud platforms, and utilize data processing frameworks like Hadoop or Spark. Regular data validation, efficient indexing, and collaborating closely with data engineers and analysts can also help maintain accuracy and streamline workflows.
Infographic showing various Large Dataset job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, and 8% Part Time. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $98,572 per year, or $47.4 per hour.
Senior Accountant (Real Estate & Property Management)

Senior Accountant (Real Estate & Property Management)

Marketplace Homes

Southfield, MI • On-site

$65K - $76K/yr

Full-time

Posted 10 days ago

Job description

Position Summary

We are seeking a detail-oriented Senior Accountant with experience in Single-Family Rental (SFR) portfolios and property management operations. This role will oversee accounting for a large portfolio of residential properties, ensuring accurate financial reporting, compliance, and operational support. The ideal candidate is comfortable working with high-volume property data, understands the nuances of SFR accounting, and has strong experience with fixed assets and depreciation.

Key Responsibilities
  • Prepare and review monthly, quarterly, and annual financial statements for an SFR portfolio
  • Manage full-cycle accounting, including journal entries, accruals, and account reconciliations
  • Oversee property-level accounting, including rent revenue, security deposits, maintenance expenses, and tenant activity
  • Maintain fixed asset schedules for property acquisitions, capital improvements, and disposals
  • Calculate and record depreciation expense for real estate assets in accordance with GAAP and tax reporting requirements
  • Support cost segregation studies and ensure proper classification of capital expenditures vs. repairs and maintenance
  • Lead month-end and year-end close processes across multiple entities and properties
  • Analyze financial performance and provide variance analysis against budgets and forecasts
  • Partner with property management teams to ensure accuracy of rent rolls, billing, and expense allocations
  • Assist with audits, tax filings, and lender/investor reporting requirements
  • Ensure compliance with internal controls and continuously improve accounting processes
  • Mentor junior staff and review work for accuracy and completeness
Qualifications
  • Bachelor’s degree in Accounting, Finance, or related field (CPA strongly preferred)
  • 5+ years of accounting experience, including 2+ years in real estate, ideally SFR or residential portfolios
  • Strong knowledge of GAAP and real estate accounting principles, including fixed assets and depreciation methodologies
  • Experience with property management/accounting systems (e.g., Yardi, AppFolio, Buildium, or similar)
  • Advanced Excel skills (e.g., pivot tables, lookups, large dataset management)
  • Strong attention to detail and ability to manage high transaction volumes
  • Excellent organizational and communication skills
Preferred Qualifications
  • Experience with high-volume SFR platforms or institutional property management environments
  • Familiarity with cost segregation, bonus depreciation, and 1031 exchanges
  • Experience with multi-entity structures and investor reporting
  • Exposure to property acquisitions, dispositions, and portfolio scaling

Hybrid company - reporting in to office located in Southfield MI, 3x weekly.

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