Stryker

Senior Data Engineer

Stryker

full-time

Posted on:

Location Type: Hybrid

Location: Mahwah • New Jersey • 🇺🇸 United States

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Salary

💰 $77,200 - $160,800 per year

Job Level

Senior

Tech Stack

AWSAzureCloudERPETLGoogle Cloud PlatformPythonSparkSQL

About the role

  • Design and build ETL pipelines to ingest and transform data based on project and user requirements.
  • Develop and maintain technical documentation, data dictionaries, and requirements gathering artifacts for key systems and assets.
  • Collaborate with BI developers and analysts to ensure clean, reliable, and well-documented datasets for reporting and analytics.
  • Optimize existing workflows and pipelines for cost efficiency and performance.
  • Assist with ERP dataset repointing and Power BI report recreation to support business continuity.
  • Translate stakeholder requirements into actionable technical solutions and data architecture improvements.
  • Contribute to discussions on data movement and architecture opportunities to enable business growth.
  • Prepare and deliver presentations that explain data processes and findings to stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or related field.
  • Minimum 2 years of experience in data engineering or related technical role.
  • Proficiency in at least one programming language central to data engineering (e.g., SQL, Python, Spark).
  • Experience with ETL/ELT processes, pipeline creation, and data warehouse architecture.
  • Familiarity with cloud-based data platforms such as Microsoft Fabric, Azure Synapse, Data Factory, or Databricks.
  • Proficiency in Power BI.
  • Preferred Qualifications Master’s degree.
  • Experience with DAX, Power Query, and Dataflows.
  • Experience with object-oriented programming and data structures.
  • Knowledge of DataOps, DevOps, and infrastructure-as-code practices using GitHub/GitLab.
  • Exposure to cloud-native tools for distributed computing and business intelligence (Azure, AWS, GCP).
Benefits
  • salary plus bonus eligible + benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETLdata engineeringSQLPythonSparkDAXPower QueryDataflowsdata warehouse architectureobject-oriented programming
Soft skills
collaborationcommunicationpresentationrequirements gatheringstakeholder engagementproblem-solvingdocumentationdata architecture improvementworkflow optimizationcost efficiency