Data Integrity Manager

Team Sparq is committed to creating high-quality tech careers while helping clients accelerate their digital transformation journey. We are committed to being an inclusive workplace, maintaining a culture of equitable, diverse employment and advancement company-wide.

C2C is not available

Must be authorized to work in the U.S. without sponsorship

Why you will enjoy Mondays again:

• Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment
• Progressive career journey and opportunity for advancement
• Continuous development through training, mentorship and certification programs
• Exposure to modern technologies across various industries in an agile environment
• Flexibility to work remotely, onsite or a hybrid of both as desired in certain locations
• Competitive salary + bonus opportunities
• Robust benefits package, matching 401(k) plan, and substantial PTO
• Tuition reimbursement

A Day in the Life:

• Maintaining data integrity across platforms through audits, quality checks, and governance practices
• Identifying and resolving data anomalies, outliers, and inconsistencies in real time
• Documenting and improving data processes and lineage in collaboration with analytics and engineering teams
• Building visualizations and dashboards using best practices to surface actionable insights
• Automating routine data cleansing using Python (Pandas, APIs) and SQL (window functions, joins)
• Supporting the architecture and configuration of Smartsheet, Excel workflows, and associated automations
• Collaborating with stakeholders to align on data needs and maintain compliance with privacy and security policies
• Troubleshooting data issues by tracking dependencies across automations, cell links, and scripts
• Partnering with the central analytics team to evolve pipeline structure and enable scalable reporting

What it takes:

• 5+ years in a data analytics or data management role
• Advanced experience with Smartsheet, Excel, or similar platforms for automation and data mesh
• Strong SQL skills, including complex joins and window functions
• Proficiency in Python, especially data wrangling with Pandas
• Familiarity with AWS services such as Redshift, Glue, and Lambda
• Hands-on data visualization experience (Amazon Quicksight preferred)
• Experience troubleshooting complex data dependencies with limited context
• Working knowledge of Smartsheet SDK and API-based data integration
• Familiarity with VSCode, DataGrip, or other developer IDEs
• Strong grasp of visual storytelling and dashboard design principles

Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.