Lead Data Integrity Specialist (Remote)

  • Posted 4 hours ago | Updated 4 hours ago

Overview

Remote
USD 87,600.00 - 186,700.00 per year
Full Time

Skills

Operational Excellence
Continuous Improvement
R
Data Integrity
Management
Dashboard
Reporting
Sales Operations
Root Cause Analysis
Decision-making
Collaboration
Data Governance
Computer Science
Information Systems
Analytics
SQL
Databricks
Amazon Web Services
Data Engineering
Workflow
Data Visualization
Microsoft Power BI
Extract
Transform
Load
ELT
Enterprise Resource Planning
Oracle
SAP
Data Analysis
Microsoft
Inventory
Asset Management
Data Structure
Process Improvement
Optimization
Legal

Job Details

Work Flexibility: Remote

As a Lead Data Integrity Specialist, you will design and maintain enterprise datasets that enable analytics, reporting, and operational excellence across the organization. Your work will ensure data accuracy and reliability, supporting strategic decisions and driving continuous improvement in a fast-paced, innovative environment.

What You Will Do

  • Design and maintain scalable 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 and optimize dashboards 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

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • Minimum 4 years of experience in data engineering, analytics engineering, or a similar data related role.
  • Proficiency in SQL, Databricks, AWS Athena, and modern data engineering workflows.
  • Experience with data visualization tools such 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 with R programming for data analysis and engineering tasks.
  • Experience with the Microsoft Power Platform tools such as PowerApps, and Power Automate.
  • Knowledge of inventory tracking, asset management data structures, or operational datasets.
  • Exposure to process improvement or pipeline optimization.

$87,600.00 - $186,700.00 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 contractor's legal duty to furnish information.
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