Senior Data Engineer — Pipelines & Architecture

Stryker; Flower Mound (TX); Remote; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Employee Stock Purchase Plan

Wellbeing program

Life and disability insurance

Job summary

Stryker is seeking a Senior Data Engineer to drive and deliver data engineering projects on the Customer Intelligence Data Engineering team. You will translate business needs into scalable data solutions, build ETL pipelines, and create documentation to support data assets and governance.

Responsibilities include collaborating with cross-functional teams, presenting findings to stakeholders, and enhancing data quality and performance across platforms.

Qualifications

• 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.

Responsibilities

• 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 to business and technical stakeholders 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 that enable business growth and operational efficiency.
• Contribute to continuous improvement initiatives focused on data quality, performance, scalability, and automation.

Skills

Python

SQL

Spark

OOP concepts

ETL/ELT

Data modeling

Data warehousing

Distributed data processing

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD (preferred)

Tools

Apache Spark

Databricks

Power BI

IaC tools

Job description

Stryker is seeking a Senior Data Engineer to drive and deliver data engineering projects on the Customer Intelligence Data Engineering team. You will translate business needs into scalable data solutions, build ETL pipelines, and create documentation to support data assets and governance.

Responsibilities include collaborating with cross-functional teams, presenting findings to stakeholders, and enhancing data quality and performance across platforms.