Data Integrity Engineer

• Perform data management tasks, ensuring accuracy, consistency, and integrity of data across various systems and platforms
• Conduct routine data quality checks, identify and resolve data discrepancies, anomalies, and out-of-range values
• Implement and maintain data governance policies and procedures, collaborating with team members to document data processes and maintain data lineage
• Provide support in the creation of data reports, dashboards, and visualizations, ensuring alignment with data visualization best practices
• Participate in data audits and assist in the preparation of data-related documentation
• Communicate with stakeholders to understand data requirements and provide updates on data quality improvements
• Maintain a strong understanding of data security, privacy, and compliance requirements
• Leverage Python scripting and SQL querying skills to automate data cleansing and correction processes
• Trace and isolate sources of data issues, including cell links, automations, scripts, and other dependencies
• Work with the central data analytics team to identify and implement necessary modifications to data pipelines and configurations
• Assess when to apply manual intervention versus automation for efficient data correction and enhancement
• Perform other ad-hoc data-related tasks as assigned by the team lead or manager, * Team takes requests for teams who want to change some element from data centers, vet those from a technical perspective, ensure change makes sense from business perspective, integrated technically across disciples in the design, push it out to active data center design portfolio that they are managing.
• Work in APAC, EMEA, ETC
• Basis of design for data center, site adapt it at.
• TIDUS machine learning, liquid cooling, etc. The number of changes has overtaxed the team.

Key Projects:

• Going to assign specific global programmatic design changes depending on when they start.
• Some will also depend on skillset being brought to the table

Day to Day:

• Data Reporting and Visualization (40% of time)
• Create data reports, dashboards, and visualizations based on stakeholder/Team/Project requirements using tools like Quicksight, Tableau, Smartsheet, Excel Sheet.
• Ensure alignment of data visualizations with the project and teams goal.
• Provide support and guidance to stakeholders/cross functional teams on interpreting data insights/queries.
• Data Automation and Scripting (20% of time)
• Leverage Python scripting and SQL querying skills to automate data cleansing and correction processes
• Develop scripts and workflows to improve data processing efficiency
• Assess opportunities to apply automation versus manual intervention
• Data Governance and Documentation (15% of time)
• Maintain and update data governance policies and procedures
• Document data processes and data lineage
• Collaborate with team members to ensure consistent data management practices
• Data Quality Assurance (15% of time)
• Conduct routine data quality checks across various systems and platforms like Salesforce, Cloud Forge, REV and internal Project Management tools like ( SIM, Smartsheet)
• Identify and resolve data discrepancies, anomalies, and out-of-range values
• Implement data validation rules and data cleansing processes to handle the data integrity, data availability issues.
• Stakeholder Collaboration and Troubleshooting (10% of time)
• Communicate with stakeholders to understand data requirements and provide updates
• Troubleshoot and isolate sources of data issues, including dependencies
• Participate in data audits and assist in the preparation of data-related documentation

Role interesting:

• If you want to solve hard problems with talented people, this is a great team to join.
• Team is very uniquely positioned within design engineering
• Team interacts very broadly with multiple stakeholder groups
• Real time innovating with infrastructure projects to keep AWS at the forefront
• Unique, challenging, fast paced but fun.

Leadership principle:

• Customer obsession
• Invent and simplify
• Learn and be curious
• Dive deep
• Insist on higher standards

• Bachelor's degree or equivalent
• 3+ years of experience in a data management or data analytics related role
• Proficient in using spreadsheet software (e.g., Microsoft Excel, Smartsheet) and writing advanced functions, automations, and data meshes
• Experience with relational databases and SQL querying, including the use of window functions and complex joins
• 3+ years of experience with data visualization platforms, including creating calculated measures and working with denormalized data (preferred: Amazon Quicksight)

Preferred Qualifications:

• Python scripting experience, including libraries such as Pandas (preferred: experience with API calls and the Smartsheet SDK)
• Understanding of AWS data services such as AWS Glue, Amazon Redshift, or AWS Lambda for data processing and ETL
• Ability to independently troubleshoot and logically infer causes of data issues by isolating variables and testing
• Experience using IDEs such as DataGrip, VSCode
• Knowledge of effective data visualization design principles, * 3+ years of experience in a data management or data analytics related role
• Proficient in using spreadsheet software (e.g., Microsoft Excel, Smartsheet) and writing advanced functions, automations, and data meshes
• Experience with relational databases and SQL querying, including the use of window functions and complex joins
• 3+ years of experience with data visualization platforms, including creating calculated measures and working with denormalized data (preferred: Amazon Quicksight)

Degree/certs:

• Bachelor's degree or equivalent

Resume stand out:

• Advanced Data Visualization and Dashboard Design
• Cloud-based BI Platform Expertise (Amazon Quicksight, Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, Amazon CloudWatch)
• Expertise in ETL Process and Data Management and Analysis
• Former employee experience

Top must-have hard skills:

• Proficiency in using spreadsheet software (e.g., Microsoft Excel, Smartsheet) and writing advanced functions (e.g., Pivot, Index), automations, and data meshes
• Experience with data visualization platforms, including creating calculated measures and working with denormalized data (preferred: Amazon Quicksight, Tableau)
• Understanding a of Python scripting (preferred: experience with API calls and the Smartsheet SDK)
• Strong experience with relational databases and SQL querying, including the use of window functions and complex joins.

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global technology leader that is transforming the way people shop, consume content, and interact with digital services. With a strong presence across e-commerce, cloud computing, digital streaming, and artificial intelligence, the company is known for its customer-centric approach, innovation-driven culture, and large-scale global impact. It continues to invest in building products and services that improve everyday life while supporting businesses, communities, and economies worldwide., © 2026 Careerjet All rights reserved