Senior Data Engineer

Stryker

. Translate business and stakeholder needs into scalable data engineering and data science solutions .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $89,300 - $193,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and architecture, with a strong focus on developing scalable data solutions and optimizing data pipelines. Proficient in translating business needs into technical requirements while ensuring data quality and performance.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencyApache SparkETL/ELT Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData PipelinesData IntegrationsData ModelingData WarehousingDistributed Data ProcessingObject-Oriented ProgrammingData StructuresCloud-Based EnvironmentsInfrastructure as Code

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

DatabricksPower BI

Industry Keywords

Data Engineering Best PracticesData QualityPerformance OptimizationScalabilityAutomation

Tech Stack

Tools & technologies

ApacheCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Translate business and stakeholder needs into scalable data engineering and data science solutions
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes
Communicate technical concepts, project updates, and analytical findings through presentations, reports, and visualizations
Apply data engineering best practices to solve complex business problems and support decision-making
Gather, document, and refine business and technical requirements for data products, platforms, and solutions
Create and maintain technical documentation for data assets, pipelines, systems, and processes
Support the design and implementation of data architecture, data movement, and integration solutions
Contribute to continuous improvement initiatives focused on data quality, performance, scalability, and automation

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Data Analytics, Mathematics, Statistics, Data Science, Information Systems, or a related field
Minimum 2 years of professional experience in data engineering, data architecture, analytics engineering, or other data related disciplines
Experience developing and maintaining data pipelines, data integrations, and data solutions in cloud-based environments
Proficiency in at least one core data engineering language such as Python, SQL, or Spark
Experience working with object-oriented programming concepts and data structures
Knowledge of ETL/ELT development, data modeling, data warehousing, and distributed data processing
Experience with Apache Spark, Databricks, Power BI, or similar analytics and big data technologies
Knowledge of infrastructure as code (IaC) tools and cloud-native data architectures
Experience optimizing data pipelines, workflows, and distributed computing environments for performance and scalability

Benefits

Comp & perks

Remote work flexibility
Equal opportunity employment
20% travel percentage