As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and maintaining advanced data solutions that drive business insights and support decision-making processes. You will leverage your expertise in data engineering to build scalable data pipelines, optimize data storage, and ensure data quality and integrity. Your ability to work with cross-functional teams and translate business requirements into technical solutions will be key to your success in this role.
In this role, you will impact the business by enabling data-driven decision-making, optimizing data processes, and improving overall data management. Your work will contribute to increased operational efficiency, cost savings, and enhanced customer satisfaction.
At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.
ResponsibilitiesKey Responsibilities- Design and develop scalable and efficient data pipelines, data models, and data integration processes
- Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs
- Ensure data quality and integrity by implementing data validation and cleansing processes
- Optimize data engineering processes and infrastructure to improve performance and efficiency
- Stay updated on emerging data engineering technologies and best practices to drive innovation and continuous improvement
- Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
- Proven experience in data engineering
- Proficiency in data engineering tools and programming languages (e.g., Python, SQL, etc.)
- Experience with data pipeline and ETL processes
- Master’s degree in Data Science, Computer Science, or a related field
- Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud)
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Strong problem-solving skills and attention to detail
Skills Required
- Bachelor's degree in a technical discipline (STEM)
- Proven experience in data engineering
- Proficiency in data engineering tools and programming languages (e.g., Python, SQL)
- Experience with data pipeline and ETL processes
- Master's degree in Data Science, Computer Science, or related field
- Experience with cloud data platforms (AWS, Azure, Google Cloud)
- Knowledge of big data technologies (Hadoop, Spark)
- Strong problem-solving skills and attention to detail
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
