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Senior Data Quality Analyst / Data Reliability Engineer

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.

The Data Reliability Engineer will use tools and processes, assess data accuracy for critical pipelines and data points, build dashboards to report on that accuracy including statistical analysis, assist engineering and analyst teams with data quality issue remediation, and track data quality issue remediation.

What You'll do:

  • Data Accuracy Testing - Work with engineering teams to define data accuracy for different data points, create a plan to assess that accuracy, execute that plan, and monitor and present results.
  • Data Quality Issue Tracking, Root Cause Analysis, and Remediation - Work with engineering teams to diagnose data quality issues, develop remediation plans, build out new testing to detect issues like this in the future, and track issues at scale to get a better understanding of the overall data quality of our data products.
  • Data Quality Rule Creation - Work with SMEs to determine quality policies to be applied to data assets. Work with Data Engineers as needed to create views or tables when more complex ETL is needed. Rules are generally written using SQL.
  • Data Quality Tool Administration - The DRE will be the administrator for the data quality tools, including management of rules and policies being written in the data quality tool. The DRE will work with Data Engineers to build any integrations or processes necessary to make the data quality tools useful.

What you bring:

  • Bachelor’s degree in a relevant field or equivalent work experience
  • 5+ years of data experience
  • 5+ years of SQL experience 
  • 1+ years of BI Tool experience
  • 1+ years of data pipeline / orchestration experience (ex., Apache Airflow)
  • 1+ years of distributed computing experience (ex., Apache Spark)
  • 2+ years of Statistics experience/exposure (through college coursework or work experience)
  • Some Python experience is preferred
  • Some distributed query tool experience is preferred (i.e., Apache Trino)
  • Data Research process experience is preferred

 

Location: Waltham, MA (hybrid)

 

#LI-VC1

#LI-Hybrid

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
$96,000$132,000 USD

About us: 

ZoomInfo (NASDAQ: ZI) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

Average salary estimate

$114000 / YEARLY (est.)
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$96000K
$132000K

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What You Should Know About Senior Data Quality Analyst / Data Reliability Engineer, ZoomInfo Technologies LLC

At ZoomInfo, we're on the lookout for a talented Senior Data Quality Analyst / Data Reliability Engineer who thrives in a fast-paced environment. If you're passionate about data accuracy and quality, this role is perfect for you! In our collaborative Waltham, Massachusetts team, you'll take the lead in ensuring the reliability of our critical data pipelines and points. Your day-to-day will involve assessing data accuracy, crafting detailed dashboards, and performing statistical analyses to report on the accuracy of our data. As you dive into this fascinating world of data, you'll collaborate closely with engineering and analyst teams to tackle data quality issues and implement effective remediation strategies. You'll even get to create and manage data quality rules using your SQL expertise! With a background of over five years in data analytics or engineering, along with solid experience in SQL and BI tools, you'll be well-prepared to make a significant impact. Join us and discover how your take-charge attitude can enhance our innovative culture. Benefits abound at ZoomInfo, promoting holistic well-being for you and your family, while providing essential support for your professional growth. Come help us shape the future of data at ZoomInfo!

Frequently Asked Questions (FAQs) for Senior Data Quality Analyst / Data Reliability Engineer Role at ZoomInfo Technologies LLC
What are the responsibilities of a Senior Data Quality Analyst / Data Reliability Engineer at ZoomInfo?

As a Senior Data Quality Analyst / Data Reliability Engineer at ZoomInfo, your key responsibilities include assessing data accuracy across critical pipelines, developing testing plans, and generating dashboards to monitor performance. You'll collaborate with engineering teams for root cause analysis and remediation of data quality issues while establishing data quality rules using SQL. Additionally, you'll manage data quality tools and ensure that data integrity is maintained in our products.

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What qualifications are needed to qualify for the Senior Data Quality Analyst / Data Reliability Engineer position at ZoomInfo?

To qualify for the Senior Data Quality Analyst / Data Reliability Engineer position at ZoomInfo, candidates should hold a Bachelor's degree or equivalent experience, with at least five years in data analytics or engineering. You should also have at least five years of SQL experience, one year working with BI tools, and exposure to data pipelines and distributed computing. Familiarity with Python and data research processes is also preferred.

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How does the Senior Data Quality Analyst / Data Reliability Engineer role contribute to ZoomInfo's overall success?

The Senior Data Quality Analyst / Data Reliability Engineer plays a crucial role at ZoomInfo by ensuring the accuracy and reliability of our data products. By diagnosing and remediating data quality issues, this position not only enhances the trustworthiness of our analytics but also empowers our clients with accurate insights, ultimately contributing to their success and, by extension, ours.

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Is there an opportunity for hybrid work as a Senior Data Quality Analyst / Data Reliability Engineer at ZoomInfo?

Yes, ZoomInfo offers a hybrid work model for the Senior Data Quality Analyst / Data Reliability Engineer position, allowing you to balance working remotely and collaborating in our Waltham, Massachusetts office. This flexibility is part of our commitment to employee well-being and productivity.

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What software tools will the Senior Data Quality Analyst / Data Reliability Engineer use at ZoomInfo?

In the Senior Data Quality Analyst / Data Reliability Engineer role at ZoomInfo, you'll use various software tools designed for data quality management, SQL for rule writing, and BI tools for data visualization. Familiarity with tools like Apache Airflow for orchestration and Apache Spark for distributed computing will be essential for your success in this position.

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Common Interview Questions for Senior Data Quality Analyst / Data Reliability Engineer
What methodologies do you use to assess data accuracy?

In your response, share specific methodologies such as statistical sampling, data profiling, or comparisons against source data. Discuss your experience with these methods and how they've helped you improve data accuracy in past roles.

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Can you explain a time when you identified a major data quality issue?

Describe a specific incident where you uncovered a significant data quality problem, explaining the context, your analysis, the actions you took, and the outcome. Highlight your problem-solving skills and your ability to work with different teams.

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How do you prioritize data quality issues when they arise?

Mention factors like the impact on business processes, frequency of the issue, and resource availability when prioritizing data quality issues. Explain any frameworks or strategies you use to evaluate the importance of addressing specific issues first.

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What tools and technologies are you proficient in that relate to data quality?

List relevant tools and technologies such as SQL, BI tools, and data quality management software. Highlight your experience using these tools effectively in your previous roles, and mention any certifications you might hold.

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Explain how you create data quality rules for new data assets.

Discuss the collaborative process of working with subject matter experts to create these rules. Mention the importance of understanding the data's use case, as well as the technical aspects like writing rules in SQL.

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How would you handle a conflict between engineering and analytics teams regarding data quality?

Employ a diplomatic approach in your answer, stressing the importance of open communication. Describe a scenario where you facilitated discussions between teams to reach a mutually agreeable solution, focusing on collaboration rather than conflict.

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What does your experience with data pipelines entail?

Discuss specific projects involving data pipelines, detailing your role, the technologies involved, and any challenges faced. Share your experience with pipeline orchestration tools like Apache Airflow.

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Tell us about a successful data remediation project you've led.

Share a detailed case where you led a data remediation project, highlighting your leadership and the project's positive outcomes. Explain the steps taken and how you measured success.

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What role does statistical analysis play in your data quality work?

Explain how you apply statistical analysis to identify trends, measure accuracy, and support data quality initiatives. Provide examples of how statistical tools have assisted you in improving data quality.

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How do you stay current with data quality best practices?

Mention resources like industry blogs, webinars, and conferences that you follow to keep up with emerging trends in data quality. Discuss your commitment to continued learning and professional development.

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ZoomInfo was founded in 2000 and is headquartered in Vancouver, Washington. The company offers a business-to-business data platform utilized by sales and marketing teams, recruiters, and other business professionals for lead generation and detaile...

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Full-time, hybrid
DATE POSTED
March 26, 2025

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