Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 4,500 professionals, we’re committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.
At New Era, you’ll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Driven by values like Community, Integrity, Agility, and Commitment, we nurture our people to deliver exceptional customer service.
If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together.
SUMMARY:
Seeking a highly skilled Data Engineer to strengthen our case-centric process mining and automation initiatives. This is an exciting opportunity for a technically strong professional who thrives on building robust data solutions and enabling actionable insights across end-to-end business processes.
PRIMARY DUTIES:
- Design, build, and optimize data pipelines to support process mining and automation.
- Develop and maintain Celonis data models for case-centric process analysis.
- Collaborate with business and technical teams to translate process insights into actionable improvements.
- Implement SQL-based data transformations and Python scripts for automation and data enrichment.
- Ensure data quality, scalability, and performance across all Celonis-related workflows.
- Support continuous improvement initiatives by leveraging Celonis capabilities for process optimization.
REQUIRED EDUCATION:
- Bachelors degree in Computer Science, Software Engineering, Information Systems, or related
EXPERIENCE:
- 5-7 years of data engineering experience with at least 2 years of hands-on experience with Celonis
QUALIFICATIONS:
- 2+ years of hands-on experience with Celonis (Process Mining and Execution Management).
- Strong proficiency in SQL programming for complex queries and data transformations.
- Solid experience with Python scripting for automation and integration tasks.
- Proven ability to work with large, complex datasets and optimize data flows.
- Strong analytical mindset with a focus on business process improvement.
- Excellent communication skills and ability to work in remote or hybrid environments.
Preferred Skills:
- Experience with ETL tools and data integration frameworks.
- Familiarity with process automation technologies.
- Knowledge of cloud platforms (AWS, Azure, or GCP) for data engineering.
- Understanding of business process management and KPIs.
#LI-AC1
Below is the pay range of this position for considered candidates based on qualifications and experience.
New Era Technology, Inc., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”).
View our Privacy Policy here https://www.neweratech.com/us/privacy-policy/
Top Skills
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
