Lead Data Integrity Specialist (Remote)

Portage, WI - USA

Monthly Salary: $ 87600 - 186700

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Work Flexibility: Remote

As a Lead Data Integrity Specialist you willdesign andmaintainenterprise datasets that enable analytics reporting and operational excellence across the organization. Your work will ensure data accuracy and reliabilitysupportingstrategicdecisionsand driving continuous improvement in a fast-paced innovative environment.

What You Will Do

Design andmaintainscalable enterprise datasets using Databricks AWS Athena R and SQL to ensure high data integrity.
Develop and manage ETL/ELT pipelines to ingest and transform data from Oracle/SAP and other source systems.
Build andoptimizedashboards and reporting tools (e.g. Power BI) connected to engineered datasets for business insights.
Integrate new data sources and engineer models that support sales operations and support teams.
Investigate and resolve data discrepancies through root-cause analysis and implement engineering-driven solutions.
Analyze trends and anomalies in data to proactively escalate issues and support decision-making.
Document data processes dictionaries lineage and engineering logic for continuity and auditability.
Collaborate with cross-functional stakeholders to ensure data governance and high-quality standards across all pipelines.

What You Will Need

Required Qualifications

Bachelors degree in Computer Science Information Systems Engineering or related field.
Minimum4years of experience in data engineering analytics engineering or a similardatarelatedrole.
Proficiencyin SQL Databricks AWS Athena and modern data engineering workflows.
Experience withdata visualizationtoolssuch as Power BI.
Experience building and maintaining ETL/ELT pipelines and data models.
Familiarity with ERP systems such as Oracle or SAP.

Preferred Qualifications

Experience withR programming for data analysis and engineering tasks.
Experience withthe MicrosoftPowerPlatformtoolssuch as PowerApps andPowerAutomate.
Knowledge of inventory tracking asset management data structures or operational datasets.
Exposure toprocess improvement or pipeline optimization.

$87600.00 - $186700.00 salary plus bonus eligible benefits. Individual pay is based on skills experience and other relevant factors.

Posted On: December 4 2025

Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race ethnicity color religion sex gender identity sexual orientation national origin disability or protected veteran status. Stryker is an EO employer M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information.

Required Experience:

Work Flexibility: RemoteAs a Lead Data Integrity Specialist you willdesign andmaintainenterprise datasets that enable analytics reporting and operational excellence across the organization. Your work will ensure data accuracy and reliabilitysupportingstrategicdecisionsand driving continuous improvem...

Work Flexibility: Remote

What You Will Do

Design andmaintainscalable enterprise datasets using Databricks AWS Athena R and SQL to ensure high data integrity.
Develop and manage ETL/ELT pipelines to ingest and transform data from Oracle/SAP and other source systems.
Build andoptimizedashboards and reporting tools (e.g. Power BI) connected to engineered datasets for business insights.
Integrate new data sources and engineer models that support sales operations and support teams.
Investigate and resolve data discrepancies through root-cause analysis and implement engineering-driven solutions.
Analyze trends and anomalies in data to proactively escalate issues and support decision-making.
Document data processes dictionaries lineage and engineering logic for continuity and auditability.
Collaborate with cross-functional stakeholders to ensure data governance and high-quality standards across all pipelines.

What You Will Need

Required Qualifications

Bachelors degree in Computer Science Information Systems Engineering or related field.
Minimum4years of experience in data engineering analytics engineering or a similardatarelatedrole.
Proficiencyin SQL Databricks AWS Athena and modern data engineering workflows.
Experience withdata visualizationtoolssuch as Power BI.
Experience building and maintaining ETL/ELT pipelines and data models.
Familiarity with ERP systems such as Oracle or SAP.

Preferred Qualifications

Experience withR programming for data analysis and engineering tasks.
Experience withthe MicrosoftPowerPlatformtoolssuch as PowerApps andPowerAutomate.
Knowledge of inventory tracking asset management data structures or operational datasets.
Exposure toprocess improvement or pipeline optimization.

$87600.00 - $186700.00 salary plus bonus eligible benefits. Individual pay is based on skills experience and other relevant factors.

Posted On: December 4 2025

Travel Percentage: 10%

Required Experience:

Key Skills

GIS
Computer Data Entry
Facilities Management
ADMA
Fleet
Key Account

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About Company

Stryker

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongsid ... View more

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