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Data Survey Jobs (NOW HIRING)

Review and approve survey data, calculations, and drawings, providing quality control prior to being reviewed by a PLS. * Choose appropriate surveying methodologies each project. * Provide technical ...

Review and approve survey data, calculations, and drawings, providing quality control prior to being reviewed by a PLS. * Choose appropriate surveying methodologies each project. * Provide technical ...

Collect accurate survey data using GPS, robotic total stations, and data collectors. * Verify field measurements and maintain quality control standards. * Communicate daily with the Survey Field ...

Survey Field Crew

Kissimmee, FL · On-site

$17 - $30/hr

This position offers a clear career path in the surveying industry, providing hands-on experience in collecting precise spatial data using advanced technologies for major construction and land ...

Survey Field Crew

Oviedo, FL · On-site

$17 - $30/hr

This position offers a clear career path in the surveying industry, providing hands-on experience in collecting precise spatial data using advanced technologies for major construction and land ...

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Land Survey Technician

Wichita, KS · On-site

$37K - $57K/yr

Entry level or experienced land surveyor to assist in doing all types of land surveying to work ... electronic data collectors. In the office the entry level candidates will be trained in using ...

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Survey Crew Chief

Maple Grove, MN · Remote

$28 - $36/hr

Junior Survey Crew Chief Location : Maple Grove, Minnesota Position Type : Full-Time Overview We ... Data Collection : Record accurate field measurements and observations, ensuring compliance with ...

Showing results 21-40

Data Survey information

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$9

$29

$69

How much do data survey jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data survey in the United States is $29.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Data Survey vs Data Analyst?

AspectData SurveyData Analyst
Required CredentialsTypically a degree in social sciences, statistics, or related fieldsDegree in statistics, mathematics, computer science, or related fields
Work EnvironmentFieldwork, interviews, questionnaires, data collectionData processing, analysis, reporting, often in an office setting
Employer & Industry UsageMarket research firms, government agencies, NGOsTech companies, finance, healthcare, consulting firms
Common Search & ComparisonFocuses on data collection methodsFocuses on data interpretation and insights

While Data Survey involves collecting data through fieldwork and questionnaires, Data Analysts focus on analyzing and interpreting data to provide insights. Both roles require strong analytical skills, but their daily tasks and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a data survey specialist?

To thrive as a Data Survey Specialist, you need strong analytical skills, attention to detail, and experience with survey methodologies, often supported by a degree in statistics, social science, or a related field. Familiarity with survey software (such as Qualtrics or SurveyMonkey), data analysis tools (like Excel or SPSS), and data visualization platforms is typically required. Excellent communication, critical thinking, and problem-solving abilities help you design effective surveys and interpret results accurately. These skills are essential for collecting reliable data, ensuring high response rates, and delivering actionable insights to inform decision-making.

What is a data survey?

A Data Survey job involves collecting, analyzing, and interpreting data gathered from surveys or questionnaires. Professionals in this role design survey instruments, distribute them to target populations, and compile the responses to extract meaningful insights. They may also be responsible for ensuring data accuracy, maintaining databases, and presenting findings to stakeholders. Data Survey specialists often work in fields like market research, social sciences, or public health. Their work helps organizations make informed decisions based on empirical evidence.

What are some common challenges faced by data survey professionals in ensuring data accuracy and reliability?

Data Survey professionals often encounter challenges such as inconsistent responses, incomplete data submissions, and biases in survey design or sampling. Ensuring data accuracy requires careful questionnaire construction, robust validation protocols, and frequent data cleaning. Collaborating closely with data analysts and subject matter experts helps address these issues, while ongoing training in best practices and emerging survey technologies can further enhance data reliability.
More about Data Survey jobs

What states have the most Data Survey jobs?

States with the most job openings for Data Survey jobs include:

Infographic showing various Data Survey job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $61,283 per year, or $29.5 per hour.

Mid-Level Data Scientist- Hybrid (DMV Area)

Swingtech

Greenbelt, MD • On-site

$85 - $115/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Mid-Level Data Scientist- Hybrid (DMV Area)

About Swingtech

Swingtech delivers innovative Information Technology and Professional Support services to a diverse range of clients across the federal and intelligence communities. With over 15 years of trusted experience as a systems integrator, we apply agile methodologies and deep industry insight to help our customers achieve greater efficiency, compliance, and cost savings. At Swingtech, we’re committed to excellence and long-term success for our clients and our team.

Position Overview

The Data Scientist will support a federal healthcare regulatory client responsible for national healthcare quality reporting programs across post-acute care settings. This role focuses on compliance analytics, payment determination support, public reporting, and monitoring and evaluation activities for healthcare providers operating under federally mandated Medicare quality reporting requirements.

The Data Scientist will work closely with client stakeholders, program analysts, and technical teams to analyze complex healthcare datasets, develop analytic workflows and dashboards, and support data-driven decision-making. All work is performed within client-approved secure environments in accordance with federal data security and privacy requirements.

Responsibilities

The Data Scientist will be responsible for:

  • Analyzing large, complex healthcare datasets to support provider compliance determinations to support annual payment update decision-making.
  • Performing data cleaning, preprocessing, validation, reconciliation, and forecasting using multiple healthcare data sources. Feature engineering across multiple healthcare data sources.
  • Integrating and analyzing data from standardized assessment systems, administrative claims, public health surveillance data, CDC data, and other approved external data sources.
  • Developing, maintaining, and enhancing analytic workflows, dashboards, and reports within client-approved centralized analytics AWS platforms.
  • As needed, refactoring legacy code into Python, SQL, or PySpark in alignment with federal data modernization initiatives.
  • Producing quarterly and annual compliance analytics, including identification of non-compliant providers and generation of program-level compliance lists.
  • Supporting monitoring and evaluation activities, including trend analysis, performance measurement, and year-over-year comparisons.
  • Creating data visualizations and analytic summaries using tools such as cloud-based BI platforms and big data analytics tools to communicate findings to client stakeholders.
  • Review data dictionaries to support updates to Source to Target Mappings and create or implement associated change requests.
  • Support ad hoc data analyses to inform policy decisions, regulatory updates, and program improvements.
  • Documenting analytic methodologies, business rules, data sources, and processes in accordance with federal documentation and accessibility standards.
  • Collaborating with cross-functional teams using agile project management and collaboration tools to manage requirements, track work, and support timely delivery.
Qualifications and Skills
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, or a related field (additional experience may be considered in lieu of Master’s degree).
  • Minimum of 3+ years of experience analyzing large, complex datasets from multiple sources.
  • Strong experience with SQL and relational database management.
  • Experience working within cloud-based analytics environments, preferably AWS or equivalent.
  • Hands‑on experience with Databricks, Spark, and/or PySpark.
  • Experience with data visualization tools such as cloud-based BI platforms such as QuickSight, Tableau, Power BI, or similar. Preferred experience with AWS QuickSight.
  • Experience using Python and/or R for data analysis and modeling.
  • Familiarity with modernizing analytics platforms, including transitioning from legacy analytic solutions to open‑source technologies.
  • Experience using MS Office Suite tools with advanced experience in Excel.
  • Experience using MS SharePoint and MS Office Suite as well as Atlassian JIRA and Confluence.
  • Demonstrated experience in the healthcare industry, particularly healthcare quality measurement, outcomes research, or health services research.
  • Experience analyzing provider level claims data, survey data, patient-level data, or quality reporting datasets strongly preferred.
  • Experience supporting federal healthcare programs, regulatory initiatives, or large‑scale compliance programs preferred.
  • Strong written and verbal communication skills, with the ability to translate complex analytic findings into clear, actionable insights for non‑technical stakeholders.
  • Ability to work in a fast‑paced, deadline‑driven environment while managing multiple priorities.
Clearance / Suitability
  • Must be a U.S. Citizen
  • Ability to obtain and maintain required federal suitability or public trust, as applicable
Summary of Benefits
  • 15 PTO days
  • 11 paid holidays
  • Medical Insurance with – 3 options (HSA with $600 Employer Contribution).
  • Dental Insurance with no age limit orthodonture.
  • Vision Insurance through EyeMed in and out of network coverage.
  • Short Term and Long-Term Disability coverage with 100% premium support,
  • Life insurance and AD&D with 100% premium support
  • Supplemental Life Insurance
  • Critical Care and Accident Insurance availability
  • Pet Insurance through Nationwide
  • Employee Assistance Program
  • 401k with enrollment from day one. 4% deferral by company.
  • $1500 Annual Training Budget
  • $1500 Referral bonus
  • Eligibility for annual merit and discretionary bonus
Equal Opportunity Employer Minority/Female/Veterans/Disabled
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