Intern - Data Management
Honeywell
Intern - Data Management
Job Description
Intern - Data Management
Honeywell, a Fortune 100 company and global leader in aerospace, building technologies, performance materials, and safety solutions, is seeking a motivated Intern - Data Management to join our innovative team. This hybrid role, based in an international location, offers a unique opportunity to contribute to cutting-edge data initiatives while gaining hands-on experience in a world-class organization.
Overview
As a Data Management Intern, you will support Honeywell's mission to harness data for smarter, safer, and more sustainable solutions. Working in a hybrid environment, you'll collaborate with cross-functional teams to manage, analyze, and optimize data assets that drive business intelligence across our global operations. This 6-12 month internship provides exposure to enterprise data platforms, cloud technologies, and real-world projects that impact millions. Ideal for students pursuing degrees in data science, computer science, or related fields, this role combines technical challenges with professional mentorship from industry experts.
Key Responsibilities
- Assist in designing and implementing data pipelines using ETL tools to ensure high-quality data flow from diverse sources.
- Perform data cleaning, validation, and transformation tasks to maintain data integrity and compliance with GDPR and industry standards.
- Support the development of data catalogs and metadata management systems to enhance discoverability and governance.
- Collaborate with data engineers and analysts to generate insights through SQL queries and visualization tools like Tableau.
- Contribute to data quality audits and remediation efforts, identifying anomalies and recommending improvements.
- Document data management processes and create user guides to facilitate team adoption.
- Participate in agile sprints, providing feedback on data tools and technologies to optimize workflows.
What Makes This Role Exciting
Join Honeywell to work on transformative projects that power aerospace innovations, smart buildings, and sustainable technologies. Gain unparalleled mentorship, access state-of-the-art tools like AWS, Snowflake, and Python, and build a network across global teams. This internship accelerates your career with real impact, skill-building workshops, and potential for full-time opportunities. Be part of a culture that values innovation, diversity, and work-life balance in a hybrid setup. (Word count: 378)
Locations
- 3 George Constantinescu,, Upground building, 5th floor (entrance A) District 2, , Bucuresti, B, RO 020339
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL and relational database management (e.g., PostgreSQL, MySQL)intermediate
- Python or R for data processing and scriptingintermediate
- ETL tools and data pipeline developmentintermediate
- Data visualization (Tableau, Power BI)intermediate
- Cloud data services (AWS S3, Glue, or equivalent)intermediate
- Data governance and quality frameworksintermediate
- Analytical problem-solvingintermediate
- Strong communication and teamworkintermediate
- Attention to detail and time managementintermediate
- Basic knowledge of big data technologies (Hadoop, Spark)intermediate
Required Qualifications
- Current enrollment in a Bachelor's degree program in Data Science, Computer Science, Information Systems, or a related field (experience)
- Basic understanding of data management principles, databases, and SQL (experience)
- Proficiency in Python or R for data manipulation and analysis (experience)
- Familiarity with data tools such as Excel, Tableau, or Power BI (experience)
- Strong analytical mindset with attention to detail (experience)
- Availability for a 6-12 month full-time internship in a hybrid international setting (experience)
Preferred Qualifications
- Pursuing or completed coursework in cloud platforms (AWS, Azure, or GCP) (experience)
- Experience with ETL tools like Apache Airflow or Talend (experience)
- Prior internship or project experience in data governance or analytics (experience)
Responsibilities
- Design and implement scalable data pipelines to ingest and process large datasets from IoT sensors and enterprise systems
- Conduct data profiling and quality assessments to ensure accuracy, completeness, and timeliness of datasets
- Develop and maintain data catalogs using tools like Collibra or Alation for improved metadata management
- Collaborate with cross-functional teams to define data requirements and support business intelligence reporting
- Automate data validation processes using scripting languages to reduce manual efforts and errors
- Analyze data trends and generate actionable insights to support strategic decision-making
- Assist in compliance efforts by implementing data lineage tracking and privacy controls
Benefits
- general: Competitive hourly stipend with performance bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) with company match and financial wellness programs
- general: Professional development through mentorship, training, and certifications
- general: Hybrid work flexibility and generous paid time off
- general: Employee discounts, wellness programs, and global networking events
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Answer 10 quick questions to check your fit for Intern - Data Management @ Honeywell.
Related Books and Jobs
Intern - Data Management
Honeywell
Intern - Data Management
Job Description
Intern - Data Management
Honeywell, a Fortune 100 company and global leader in aerospace, building technologies, performance materials, and safety solutions, is seeking a motivated Intern - Data Management to join our innovative team. This hybrid role, based in an international location, offers a unique opportunity to contribute to cutting-edge data initiatives while gaining hands-on experience in a world-class organization.
Overview
As a Data Management Intern, you will support Honeywell's mission to harness data for smarter, safer, and more sustainable solutions. Working in a hybrid environment, you'll collaborate with cross-functional teams to manage, analyze, and optimize data assets that drive business intelligence across our global operations. This 6-12 month internship provides exposure to enterprise data platforms, cloud technologies, and real-world projects that impact millions. Ideal for students pursuing degrees in data science, computer science, or related fields, this role combines technical challenges with professional mentorship from industry experts.
Key Responsibilities
- Assist in designing and implementing data pipelines using ETL tools to ensure high-quality data flow from diverse sources.
- Perform data cleaning, validation, and transformation tasks to maintain data integrity and compliance with GDPR and industry standards.
- Support the development of data catalogs and metadata management systems to enhance discoverability and governance.
- Collaborate with data engineers and analysts to generate insights through SQL queries and visualization tools like Tableau.
- Contribute to data quality audits and remediation efforts, identifying anomalies and recommending improvements.
- Document data management processes and create user guides to facilitate team adoption.
- Participate in agile sprints, providing feedback on data tools and technologies to optimize workflows.
What Makes This Role Exciting
Join Honeywell to work on transformative projects that power aerospace innovations, smart buildings, and sustainable technologies. Gain unparalleled mentorship, access state-of-the-art tools like AWS, Snowflake, and Python, and build a network across global teams. This internship accelerates your career with real impact, skill-building workshops, and potential for full-time opportunities. Be part of a culture that values innovation, diversity, and work-life balance in a hybrid setup. (Word count: 378)
Locations
- 3 George Constantinescu,, Upground building, 5th floor (entrance A) District 2, , Bucuresti, B, RO 020339
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL and relational database management (e.g., PostgreSQL, MySQL)intermediate
- Python or R for data processing and scriptingintermediate
- ETL tools and data pipeline developmentintermediate
- Data visualization (Tableau, Power BI)intermediate
- Cloud data services (AWS S3, Glue, or equivalent)intermediate
- Data governance and quality frameworksintermediate
- Analytical problem-solvingintermediate
- Strong communication and teamworkintermediate
- Attention to detail and time managementintermediate
- Basic knowledge of big data technologies (Hadoop, Spark)intermediate
Required Qualifications
- Current enrollment in a Bachelor's degree program in Data Science, Computer Science, Information Systems, or a related field (experience)
- Basic understanding of data management principles, databases, and SQL (experience)
- Proficiency in Python or R for data manipulation and analysis (experience)
- Familiarity with data tools such as Excel, Tableau, or Power BI (experience)
- Strong analytical mindset with attention to detail (experience)
- Availability for a 6-12 month full-time internship in a hybrid international setting (experience)
Preferred Qualifications
- Pursuing or completed coursework in cloud platforms (AWS, Azure, or GCP) (experience)
- Experience with ETL tools like Apache Airflow or Talend (experience)
- Prior internship or project experience in data governance or analytics (experience)
Responsibilities
- Design and implement scalable data pipelines to ingest and process large datasets from IoT sensors and enterprise systems
- Conduct data profiling and quality assessments to ensure accuracy, completeness, and timeliness of datasets
- Develop and maintain data catalogs using tools like Collibra or Alation for improved metadata management
- Collaborate with cross-functional teams to define data requirements and support business intelligence reporting
- Automate data validation processes using scripting languages to reduce manual efforts and errors
- Analyze data trends and generate actionable insights to support strategic decision-making
- Assist in compliance efforts by implementing data lineage tracking and privacy controls
Benefits
- general: Competitive hourly stipend with performance bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) with company match and financial wellness programs
- general: Professional development through mentorship, training, and certifications
- general: Hybrid work flexibility and generous paid time off
- general: Employee discounts, wellness programs, and global networking events
Tags & Categories
Answer 10 quick questions to check your fit for Intern - Data Management @ Honeywell.
Related Books and Jobs