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Remote Data Quality Jobs (NOW HIRING)

Archera

Software Engineer, Data Quality

$117K - $140K/yr

As a Software Engineer focused on data quality, you will build the automated validation ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Saviance

Sr. Data Quality Engineer - Manual

BigRio is a remote-based technology consulting firm headquartered in Boston, MA, specializing in ... They are seeking a Sr. Data Quality Engineer to work with clients in implementing software-based ...

LT Apparel Group

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on ... What You'll Do Maintain and manage master data (create, update, delete) Ensure high-quality data ...

iShare Inc

Data Steward

Manhattan, NY · Remote

$115K/yr

Develop and publish data quality dashboards and reports * Analyze data quality issues and ... Insurance Data Domains (P&C) --- This is a remote position.

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How much do remote data quality jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data quality in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 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.

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Remote Data Quality jobs near you
Infographic showing various Remote Data Quality job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Software Engineer, Data Quality

Archera

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Software Engineer, Data QualityCompany Overview

Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured commitments. Thousands of customers rely on Archera's innovative FinTech solutions to increase their cloud ROI while accelerating revenue objectives and service agility.

Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately predict and plan infrastructure growth, maximize commitment-based savings, and hedge against market demands and evolving cloud service provider offerings. Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ecosystem, to help customers execute financially prudent cloud strategies.

Position Overview

Customers commit real money based on the numbers Archera shows them, so a wrong number is not a broken dashboard - it is a wrong financial decision. Getting it right is genuinely hard: our product spans a large surface area, and AWS, Azure, and Google Cloud each represent billing in a different format. As a Software Engineer focused on data quality, you will build the automated validation, reconciliation, and anomaly detection that keeps problems from ever reaching a customer, and you will become one of the few engineers anywhere who knows how all three providers really model their billing data.

Key Responsibilities
  • Go deep on the product's data model and on how AWS, Azure, and Google Cloud each format billing differently, documenting what you find rigorously.
  • Build automated data validation, reconciliation, and anomaly detection, including the workflows (Argo or equivalent) that run the checks.
  • Investigate data-quality problems to root cause, fix them, and automate the check that prevents a repeat.
  • Replace the manual data checks the team runs before customer demos with durable, automated coverage.
  • Extend test automation to critical product surfaces.
  • Work with sales and customer success on live data questions, diagnosing and resolving issues as they surface.
  • Use AI tooling to accelerate investigation, check generation, and anomaly triage.
Qualifications
  • 3+ years of software or data engineering experience, or equivalent hands-on experience building and shipping code.
  • Strong attention to detail - you notice the number that is subtly wrong, and you care because someone is budgeting against it.
  • SQL fluency for transformation and reconciliation, plus comfort scripting. Python is preferred; a strong engineer who knows SQL and another language and will pick up Python works well here.
  • A preference for automating a check rather than repeating it.
  • Interest in becoming the definitive expert on how three cloud providers each represent billing - knowledge very few engineers have.
  • Comfort with AI tooling, used with judgment, to raise coverage and move faster.
Nice-to-Haves
  • Cloud billing across AWS, Azure, or Google Cloud, FinOps, or other financial-data domains.
  • Data-quality frameworks such as dbt tests, Great Expectations, or Soda.
  • Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience.
  • Test automation and CI for data or application surfaces.
  • Experience making data trustworthy for customer-facing or revenue-critical use.
Benefits
  • Competitive salary and equity package
  • Comprehensive medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and company holidays
  • Remote-first culture
  • Opportunity to shape and scale a category-defining FinTech platform

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