Data Quality Engineer - TalentBridge

Data Quality Engineer 

The Data Quality Engineer will play a crucial role in ensuring the accuracy and reliability of our data assets. This role requires a strong foundation in SQL and a general eagerness to be a data nerd. The ideal candidate will have a keen eye for detail, a passion for data integrity, and the ability to collaborate across teams to enhance our data quality processes.

Responsibilities & Duties

• Creation and execution of manual and automated test cases for all data products.
• Investigation of data issues that are impacting customer deliverables.
• Should be able to understand the underlying product frameworks and how data flows through the application at a high level, but growing in level of understanding in time.
• Will work with the development team on data issue identification and resolution.
• This person should be able to document steps to reproduce any bugs found, as well as any documentation, screen shots, and error counsel logs that occur.
• Plan test schedules or strategies in accordance with project scope or delivery dates.
• Participate in story grooming sessions in order to understand the product changes that are in process and how it might impact data delivery moving forward.
• Follow current agile process for QA testing, however we will be looking to this role for process improvements that will allow this role to be more efficient, without sacrificing quality.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Equivalent experience will also be considered.Professional classes at Launchcode, Udemy or Claim Academy would be considered equivalent education.
• Experience working in an Agile environment, using Trello as a primary bug tracking tool.
• Passionate about data quality, but also understanding the advantage of quickly getting an MVP product to market.
• Previous data quality assurance or computer programming experience desired
• Ability to manage multiple products and adapt to changing priorities
• Ability to thrive in a fast-paced, team–oriented work environment
• Strong written and verbal communication skills
• Keen attention to detail
• Ability to work with minimal supervision and demonstrate initiative and good judgment

Experience:

• 3+ years of experience in data quality engineering, data analysis, or a related field.
• Strong proficiency in SQL, with the ability to write complex queries for data validation and analysis.
• Hands-on experience with BigQuery for data management and processing.
• Experience with Looker or similar data visualization tools.

Benefits:

• Employee Equity Incentive Plan
• 401k with 4% match, immediate enrollment with no vesting period
• Unlimited PTO
• Hybrid Work Schedule with 3 Work From Home days
• 100% covered employee medical insurance
• 50% covered medical insurance for spouse, children or family
• 100% covered dental and vision insurance
• $50,000 life insurance policy with option for supplementary coverage
• Voluntary short term disability & long term disability
• HSA for qualified plans with employer contributions of Employe