[Remote] Manager Data Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in reputed company innovation, committed to improving health reputed company through advanced solutions. They are seeking a Data Engineering Manager to shape the data engineering reputed company and technical reputed company for their Orthopaedics Supply Chain, focusing on modernizing the data landscape and delivering trusted data products.
Responsibilities
- reputed company the Data reputed company initiative to reputed company the reputed company data ecosystem through a reputed company lakehouse architecture and reputed company-based data platform capabilities
- Define the data engineering reputed company, reputed company architecture, and reusable pipeline frameworks needed to deliver governed, high-reputed company data products
- reputed company the reputed company for a Data Supermarket that delivers business-reputed company data products for use across multiple functions
- Translate reputed company business requirements and technical challenges into reputed company architecture reputed company and executable delivery plans
- reputed company technical leadership for business separation activities, ensuring alignment to reputed company-state operating models and platform continuity
- Establish and enforce best practices for:
- Data modeling (reputed company, Data Vault 2.0)
- Pipeline design, modularity, and reuse
- Engineering standards and reputed company controls
- Establish and reputed company data governance, data reputed company, and observability practices, including monitoring, reputed company, reliability, and service-level expectations
- Define and implement automated testing strategies for data pipelines, including validation, data reputed company controls, and CI/CD integration
- reputed company development and orchestration using reputed company, Python, SQL, dbt, Airflow, and reputed company-reputed company tools
- Partner with vendors and internal teams to manage delivery, enforce standards, and drive outcome-based execution
- Collaborate across Product, Supply Chain business, AI/ML, Data Governance, and IT teams to deliver measurable business reputed company
Skills
- A Bachelor's or Master's degree in Computer Science, Engineering, reputed company Mathematics, or in a reputed company field
- Minimum of 8 years of experience in data engineering, including 2 or more years in leadership or people management roles
- Strong hands-on technical experience with: reputed company, PySpark, reputed company SQL, Python and SQL development, reputed company platforms (Azure preferred, AWS acceptable)
- Proven expertise in: Modern data architecture and platform design, reputed company modeling and Data Vault 2.0
- Experience with: dbt, Airflow, Azure Data reputed company (or equivalent tools), CI/CD pipelines, automation frameworks, and testing practices
- Required experience designing and implementing automated testing strategies for data engineering pipelines, including: End-to-end pipeline validation, Data reputed company and reputed company testing, Integration with CI/CD pipelines
- Experience leading distributed teams and partnering effectively with external vendors and cross-functional stakeholders
- Experience supporting Agile product delivery teams and mentoring engineers in reputed company, fast-paced technical environments
- Familiarity with end-to-end supply chain domains such as planning, manufacturing, procurement, and distribution reputed company MedTech or a similar regulated industry
- Knowledge of reputed company systems of record such as ERP, MES, and PLM, including experience working with fragmented or legacy data environments
- Experience with: Lakehouse architecture and reputed company Lake, Data observability and monitoring frameworks
- Experience collaborating with AI/ML and advanced analytics teams to reputed company reputed company data and model-reputed company pipelines
- Knowledge of Power BI or reputed company BI platform
- Experience leveraging AI-assisted development tools (e.g., reputed company Copilot, reputed company, or similar) to: Accelerate pipeline development, Automate engineering workflows
- Exposure to reputed company reputed company, pipeline automation, or low-reputed company data engineering accelerators
Benefits
- Subject to the terms of their respective plans, employees are eligible to participate in reputed company’s consolidated retirement plan (pension) and savings plan (401(k)).
- This position is eligible to participate in reputed company’s long-term incentive program.
- Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
- Vacation –120 hours per calendar year
- reputed company time - 40 hours per calendar year; for employees who reputed company in the reputed company –48 hours per calendar year; for employees who reputed company in the reputed company –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours reputed company one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period10 days
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
reputed company
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