Senior Data Engineer: Build Scalable Data Pipelines

Stryker; Tempe (AZ); In loco; USD 102.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

401(k) plan

Employee Stock Purchase Plan (ESPP)

Life insurance

Short-term disability

Descrizione del lavoro

Stryker is seeking a Senior Data Engineer on the Customer Intelligence Data Engineering team in Tempe, AZ. You will translate business needs into scalable data engineering and data science solutions, build ETL pipelines, and develop data dictionaries and documentation for data assets.

You will collaborate with cross-functional teams, communicate technical concepts to stakeholders, and apply best practices to improve data quality, performance, and automation across data pipelines and platforms.

Competenze

• 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 Python, SQL, or Spark.
• Experience with object-oriented programming concepts and data structures.
• Knowledge of ETL/ELT development, data modeling, data warehousing, and distributed data processing.

Mansioni

• Translate business needs into scalable data engineering solutions.
• Partner with cross-functional teams to understand requirements and deliver data-driven outcomes.
• Communicate technical concepts and findings to stakeholders through presentations and visualizations.
• Apply data engineering best practices to solve complex business problems and support decision-making.
• Gather and refine requirements for data products, platforms, and solutions.
• Create and maintain technical documentation for data assets and pipelines.
• Support data architecture, movement, and integration solutions enabling growth and efficiency.
• Contribute to data quality, performance, scalability, and automation initiatives.

Conoscenze

Python

SQL

Spark

Formazione

Bachelor's degree in Computer Science/related field

Master's or PhD (preferred)

Strumenti

Databricks

Power BI

Airflow

Descrizione del lavoro

Stryker is seeking a Senior Data Engineer on the Customer Intelligence Data Engineering team in Tempe, AZ. You will translate business needs into scalable data engineering and data science solutions, build ETL pipelines, and develop data dictionaries and documentation for data assets.

You will collaborate with cross-functional teams, communicate technical concepts to stakeholders, and apply best practices to improve data quality, performance, and automation across data pipelines and platforms.