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Data Quality Jobs in Remote, OR (NOW HIRING)

Working closely with UA, Product, and Data teams, you'll ensure data quality and turn complex results into clear insights that guide fast, smart decisions. YOUR MISSION * Performance Analysis:

Solutions Integration Architect

OR · On-site

$66.25 - $85.50/hr

Understand data quality and how data quality can impact the final integrated solution. Support integration testing phase of software and applications under development in order to identify and remedy ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

Reporting & Analytics Lead

OR · On-site +1

$140K - $155K/yr

Knowledge of data governance and data quality frameworks. * Qlik or Snowflake certifications. Why Expion, Why Now This is a pivotal moment to join Expion. Data is at the heart of how we operate - and ...

Knowledge of data governance and data quality frameworks. * Qlik or Snowflake certifications. Why Expion, Why Now This is a pivotal moment to join Expion. Data is at the heart of how we operate - and ...

With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and ...

Adobe CDP Engineer

OR · Remote

$105.79K - $141.05K/yr

Maintain high standards for data quality, schema design (XDM), and identity graph configuration. Optimization & Personalization * Support Adobe Target implementations for A/B testing, multivariate ...

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Data Quality information

See Remote, OR salary details

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How much do data quality jobs pay per hour?

As of May 31, 2026, the average hourly pay for data quality in Remote, OR is $41.40, according to ZipRecruiter salary data. Most workers in this role earn between $27.84 and $54.28 per hour, depending on experience, location, and employer.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the key skills and qualifications needed to thrive in the Data Quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is the QA analyst salary?

The salary for a QA analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher wages.
What are the most commonly searched types of Data Quality jobs in Remote, OR? The most popular types of Data Quality jobs in Remote, OR are:
What are popular job titles related to Data Quality jobs in Remote, OR? For Data Quality jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Remote, OR look for? The top searched job categories for Data Quality jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Quality jobs? Cities near Remote, OR with the most Data Quality job openings:

Data Scientist

Stillfront

Myrtle Point, OR

Full-time

Posted 20 days ago


Job description


As a Data Scientist in our Mobile Gaming Marketing team, you will power data-driven UA and growth through analytics, predictive modeling, and automation. You’ll own and improve our pLTV and forecasting models, support A/B testing and ad-hoc insights, and help build tools that streamline bidding, budgeting, and reporting. Working closely with UA, Product, and Data teams, you’ll ensure data quality and turn complex results into clear insights that guide fast, smart decisions.

YOUR MISSION
  • Performance Analysis: Partner with UA managers to analyze campaign data, identify growth drivers, and highlight optimization opportunities

  • Forecasting: Evaluate user behavior, channel performance, ad fraud, and organic uplift to improve creative, targeting, and channel strategies

  • Automation: Build tools (e.g., Python scripts, dashboards) to automate creative testing, real-time budget/bid adjustments, and reporting workflows

  • pLTV Modeling: Own and refine predicted LTV models, ensuring accurate integration and validation with internal/external partners

  • Data Quality: Maintain reliable data pipelines, ensure accuracy across teams, and proactively resolve data issues

  • Insights & Visualization: Create clear dashboards and reports that communicate model results, test findings, and recommendations to stakeholders


YOUR BACKSTORY
  • 2-5 years of professional experience in data science, data analytics, data modeling, experimentation

  • Advanced-level proficiency in Python and SQL.

  • Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering, Data, and Game teams

  • Familiarity with big data tools and cloud computing platforms (e.g., GCP, AWS)

  • Relevant experience with advertising technology and solutions is a plus

Stillfront is a global gaming company. We develop a wide range of digital games that attract millions of players each month. From well-established franchises like Supremacy, BIG, and Jawaker to niche games, we span multiple genres, including strategy, simulation, RPG, action, and casual and mash-up games.

We believe gaming can be a force for good, and we want to create a gaming universe that is digital, affordable, equal, and sustainable. To achieve this, we focus on developing games that are all about having a rewarding hobby, a great social experience, or a strategic challenge.

Stillfront was founded in 2010, and since then, we’ve grown rapidly. Our professionals thrive in an organization that embodies the spirit of entrepreneurship, and we’re proud to connect and empower game teams around the world.

Our HQ is in Stockholm, Sweden, but our game development is done by teams and studios all over the world. Our main markets are the US, Japan, MENA, Germany, and the UK. We’re proud that our company shares are listed on the Nasdaq Stockholm Large Cap.