Senior Data Engineer (Hybrid)
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Job Location:
Mahwah, NJ - USA
Monthly Salary:
$ 77200 - 160800
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
As a Senior Data Engineer youll play a key role in building and optimizing data pipelines transforming complex requirements into reliable datasets and enabling analytics that support business this role you will work with cutting-edge cloud technologies and collaborate across teams to optimize existing and new data engineering workflows to deliver impactful solutions.
* This is a hybrid role requiring 34 days per week onsite at our Mahwah NJ location.
What You Will Do
- 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.
What You Will Need
Required Qualifications
- Bachelors 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
- Masters 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).
$77200.00 - $160800.00 salary plus bonus eligible benefits. Individual pay is based on skills experience and other relevant factors.
Posted: December 19 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 contractors legal duty to furnish information.Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongsid ... View more
