AI Engineer
Warren, NJ, United States
Everest
At Everest, we underwrite opportunity for all stakeholders with protection and peace of mind in an increasingly complex and uncertain world.Title:
AI EngineerCompany:
Everest Global Services, Inc.Job Category:
TechnologyJob Description:
Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups.
We are looking for a Full Stack Python Developer with expertise in data pipelines, Apache Airflow, and Azure cloud services. You will design, develop, and maintain data solutions for our AI projects, collaborating with data scientists, analysts, and stakeholders to ensure our systems are robust, scalable, and secure.
Key Responsibilities
- Data Pipeline Development:
- Design, build, and maintain reliable and efficient data pipelines.
- Develop and manage ETL processes to extract, transform, and load data from multiple sources into data warehouses or data lakes.
- Airflow & Workflow Management:
- Develop, schedule, and monitor complex workflows using Apache Airflow.
- Create and maintain DAGs, tasks, and operators to automate data processes.
- Cloud Integration with Azure:
- Utilize Azure services for data storage, processing, and analytics.
- Integrate Azure cloud solutions with data pipelines to ensure scalability and reliability.
- Full Stack Development:
- Build and enhance web applications, working on both front-end (HTML, CSS, JavaScript) and back-end components using Python frameworks (e.g., Django, Flask).
- Develop RESTful APIs to integrate data pipelines with other services and applications.
- Collaboration & Troubleshooting:
- Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and implement data quality and security best practices.
- Monitor, troubleshoot, and optimize data workflows to ensure seamless operations and address issues proactively.
Required Skills & Qualifications
- Technical Proficiency:
- Strong expertise in Python, with a solid understanding of core syntax, data structures, and object-oriented programming.
- Proven experience in full stack development, including both front-end and back-end technologies.
- Data Engineering:
- Hands-on experience with building and managing data pipelines.
- Proficiency in using data processing tools and libraries (e.g., Apache Kafka, Spark, or similar).
- Airflow & Workflow Tools:
- Experience with Apache Airflow (or equivalent workflow management tools) including knowledge of DAGs, tasks, and scheduling mechanisms.
- Cloud & Azure Experience:
- Practical experience working with Azure cloud services, including but not limited to Azure Data Factory, Azure Databricks, and Azure SQL Database.
- API Development:
- Experience in building RESTful APIs and integrating backend systems with various applications.
- Academic Background:
- A strong academic background in Computer Science or a related field is required.
- Soft Skills:
- Strong problem-solving abilities and a keen eye for detail.
- Excellent communication skills and the ability to work collaboratively in a team environment.
Preferred Qualifications
- Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus.
- Knowledge of modern front-end frameworks or libraries is advantageous.
- Everest does not provide visa sponsorship for this position. Successful candidates must possess the requisite permanent US employment authorization to be eligible for consideration.
Work Arrangements & Benefits
- On-Site Requirement:
- Must be available to work in-office in Warren, NJ at least 3 days per week.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
- Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Diversity, Equity and Inclusion.
- Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.
All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
RegularTime Type:
Full timePrimary Location:
Warren, NJAdditional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow API Development APIs Azure Computer Science Databricks Data pipelines Data quality Django Docker Engineering ETL Flask JavaScript Kafka Kubernetes OOP Pipelines Privacy Python Security Spark SQL
Perks/benefits: Career development Flex hours Insurance
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