Data Quality Engineer

GreenSky®; Sandy Springs (GA); Hybrid; USD 95,000 - 140,000; Full time

Benefits offered by this job

Annual bonus

Comprehensive insurance benefits

401k retirement benefits

Paid time off

Paid holidays

Paid personal/sick time

Job summary

A fintech company is seeking a Data Quality Engineer to ensure accurate data for business intelligence. The role involves designing quality frameworks, creating ETL/ELT processes, and collaborating with stakeholders. Responsibilities include developing data quality standards and evaluating data quality. Candidates should have a BS in relevant fields, experience with Snowflake and SQL, and strong analytical skills. This position offers a competitive salary ranging from $95,000 to $140,000 annually, with benefits including medical, dental, and 401k retirement plans.

Qualifications

• 3+ years of Snowflake experience required.
• 2-4 years of database experience, preferably SQL.
• Experience in a fast-paced, Agile environment.

Responsibilities

• Develop standards for data quality and ensure compliance.
• Evaluate quality of data received from sources.
• Create or update data models for organized storage.
• Collaborate on procedures for data collection and analysis.
• Create reports on data quality issues.
• Review data for patterns indicating inconsistencies.
• Implement plans to improve data quality.
• Consult with departments on data standards impacts.

Skills

Automation testing using Typescript

Manual QA testing

Performance testing

Agile environment experience

Strong communication skills

Analytical skills

Snowflake

SQL

Education

BS in Computer Sciences, Industrial Engineering, Statistics, or relevant degree

Job description

Overview

GreenSky is looking for a Data Quality Engineer to ensure reliable, accurate data for business intelligence by designing quality frameworks, building validation rules, creating ETL/ELT processes, profiling/cleansing data, and collaborating with stakeholders to define standards, often using SQL, Python, and cloud data platforms (Snowflake, BigQuery) to support data architecture, governance, and reporting.

Position

Data Quality Engineer

Location

Atlanta, Georgia/Remote or Hybrid

We are unable to sponsor or take over sponsorship of an employment Visa at this time. Applicants must be authorized to work for any employer in the U.S.

Qualifications

Education – BS in Computer Sciences, Industrial Engineering, Statistics, or other relevant degree(s)

• Hands on experience with Automation testing using Typescript
• Manual QA testing experience
• Performance testing experience
• Experience working in a fast-paced, Agile environment, Scrum and Kanban, with short turnaround times
• Strong communication skills with the ability to understand and explain complex technical issues to a non-technical audience
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with Snowflake 3+ years
• 2-4 years database experience, preferably SQL

Desired but not required Qualifications

• Previous experience in a Fintech company

Responsibilities

• Developing standards for data quality and ensuring that these standards are followed throughout the organization
• Evaluating the quality of data received from data sources to ensure that it meets company standards
• Creating or updating data models to ensure that data is stored in an organized manner
• Working with other departments to establish procedures for data collection and analysis
• Creating reports on data quality issues and recommending solutions to problems
• Reviewing data to identify patterns or trends that may indicate errors or inconsistencies
• Creating and implementing plans to improve data quality by identifying causes of errors or discrepancies and determining effective solution
• Recommending new data collection methods or technologies as needed to improve the quality of data
• Consulting with other departments to determine how new data standards will affect their operations
• Proven track record (3+years) of successfully executing data quality activities including data validation, root cause remediation improvement, governance, and measurement
• Automate regression test and perform functional, integration and load testing
• Perform data validity, accuracy and integrity test across different components of the GreenSky system
• Proactively solve problems and suggest process improvements
• Triage issues by analyzing the logs and working with the development team until the issues are resolved
• Use SQL queries and analyze log files to test various ETL and data pipelines
• Provide test case coverage and defect metrics to substantiate release decisions
• Articulate issues to developers during meetings and particularly in the daily standups

Benefits and Compensation

Our compensation structure is designed to reflect the cost of labor across various U.S. geographic markets. The base salary for this role ranges from $95,000 per year to $140,000 per year. Compensation will be determined by several factors, including relevant knowledge, skills, and experience. This role is also eligible to receive an annual bonus within a comprehensive total rewards package, alongside a full suite of medical, dental, vision, disability insurance, life insurance, 401k retirement benefits, paid time off, paid holidays, and paid personal/sick time. For further details, please visit https://www.greensky.com/benefits

We anticipate that this position will remain open for at least 5 days, and candidates are encouraged to apply through our internal or external career sites.

If you have any questions about this job posting, please contact [e-mail].

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law