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Remote Data Quality Jobs in Fishers, IN (NOW HIRING)

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

GDCC West

Data Collection Specialist

Indianapolis, IN · Remote

$10.50/hr

... quality data collection services for the market research industry. With offices and remote teams ... around the world, GDCC partners with major research firms to deliver reliable insights through ...

New

Real Soft Inc

Be Seen First

QA Analyst

Indianapolis, IN · Remote

$31.92/hr

Remote, only candidates currently located in Indiana will be considered. Quality Assurance Analyst ... Document testing data, findings and reports. * Provide requested weekly, bi-weekly and monthly ...

New

Marlabs

Data Practice Lead (Remote)

Indianapolis, IN · Remote

Data Practice Lead | About You As a Data Practice Lead, you are a strategic and handson expert in ... Serve as the architectural authority during delivery, ensuring governance, quality, and alignment ...

HireITPeople

QA Analyst-Senior,

Indianapolis, IN · Remote

Remote but must be in Indiana state only, Interview both phone and in-person. There is a ... Document testing data, findings and reports. * Provide requested weekly, bi-weekly and monthly ...

New

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Remote Data Quality information

See Fishers, IN salary details

$15

$38

$66

How much do remote data quality jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote data quality in Fishers, IN is $38.78, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $50.87 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are popular job titles related to Remote Data Quality jobs in Fishers, IN?

For Remote Data Quality jobs in Fishers, IN, the most frequently searched job titles are:

What job categories do people searching Remote Data Quality jobs in Fishers, IN look for?

The top searched job categories for Remote Data Quality jobs in Fishers, IN are:

What cities near Fishers, IN are hiring for Remote Data Quality jobs?

Cities near Fishers, IN with the most Remote Data Quality job openings:

Remote Data Quality jobs near you
Infographic showing various Remote Data Quality job openings in Fishers, IN as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,672 per year, or $38.8 per hour.

Data Platform Engineer

Renaissance Life and Health Insurance Company of America

Indianapolis, IN • On-site, Remote

$95K - $105K/yr

Full-time

Re-posted 1 hour ago

Job description

Job Title:
Data Platform Engineer
Number of Positions:
1
Location:
Indianapolis, IN
Location Specifics:
Fully Remote
Job Summary:
Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!
The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.
What will this role entail?
  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.
  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.
  • Establish scalable platform architecture that can be extended as organizational needs evolve.
  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.
  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.
  • Implement data quality, governance, and lineage practices across the platform.
  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.
  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.
  • Perform other related duties as assigned.

Minimum Requirements:
  • Bachelor's degree in a related field preferred.
  • 5+ years of experience in data engineering, platform engineering, or a related technical role.
  • Experience with Microsoft Azure data services and integration tools.
  • Ability to design scalable data platforms, pipelines, integrations, and data models.
  • Strong communication skills with the ability to work across technical and business teams.
  • Self-starter with strong problem-solving skills and sound judgment.

Technical Qualifications
  • Experience with Microsoft Fabric, including OneLake, pipelines, and Lakehouse capabilities.
  • Familiarity with AI/ML data patterns and model pipeline support.
  • Experience with infrastructure-as-code tools such as Terraform or Bicep preferred.
  • Knowledge of API design, integration patterns, and platform enablement.
  • Interest in learning new tools and applying automation or AI-enabled solutions responsibly.

Base Salary Range: $95,000-105,000
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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