Senior Data Engineer
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Posting date unknown
- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 4
“4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)”
See matched passage in original description ↓ - Employment type
- Full-time
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
- Compensation
- Not specified
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Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
The Role:
The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.
The main responsibilities of the position include:
Show less description
Design, develop, and maintain scalable data pipelines for data transformation and preparation.
Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
Ensure data quality and consistency across various sources.
Deploy machine learning models and AI tools to production environments.
Collaborate with data scientists to improve data models and support business intelligence tools.
Build and maintain data warehousing solutions.
Enforce data governance and security policies.
Work with cross-functional teams to understand data requirements and provide technical solutions.
Mentor junior data engineers and provide technical guidance.
Main requirements:
MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
Experience with AWS, Google Cloud, or Azure cloud services
Extensive experience with relational and non-relational databases.
Proven experience with machine learning.
Demonstrated experience in big data processing and analytics.
Strong analytical thinking and problem-solving abilities.
Effective communication skills to convey data-driven insights.
Fluency in English Language
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
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Original formatting and links
The Role:
The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.The main responsibilities of the position include:
Main requirements:
Benefit from:
The Hiring Experience: What Awaits You
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