Data 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.

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Title:

Data Engineer

Company:

Everest Global Services, Inc.

Job Category:

Technology

Job Description:

About Everest:

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. 

Job Summary:

Everest is seeking an Enterprise Data Management Lead to join the Everest Information Technology Data & Analytics Shared Services team, located at the US headquarters in Warren, New Jersey. This is a hybrid position working 3 days onsite, 2 remote.

This role will be responsible for leading data management initiatives collaborating across business, IT, and data governance teams. The ideal candidate will have extensive experience in configuring and implementing Collibra products, established track record of building high-quality data governance and data quality solutions with a strong hands-on design and engineering skills. The candidate must also possess strong analytical and communication skills.

Responsibilities include but not limited to:

  • Deliver data governance and data quality initiatives and capabilities and ensure the solutions that are delivered meet high standards for quality, performance, and scale.

  • Lead data governance, data quality platforms and ensure they are designed, modeled, implemented, and maintained effectively. Cultivate and maintain deep knowledge of technology tools and products to ensure utilization of the latest capabilities provided by vendor products.

  • Collaborate with business, IT, and data governance teams to understand and translate metadata, data lineage, data cataloging and data quality requirements into technical solutions.

  • Work with the business stakeholders and Data & Analytics leadership to develop roadmap, demonstrate thought leadership, and capitalize on technology advances.

  • Propose and implement technical improvements to enhance data governance, quality, reliability, and consistency across IT systems. and drive continuous technology transformation and minimize technical debt.

  • Establish strong delivery practices to ensure reusability of common patterns and publish standards and best practices.

  • Mentor and coach engineering team to increase skill levels. Provide technical expertise and support to business users and IT teams on data management standards and best practices.

  • Design and implement data governance, data quality workflows, scorecards, and dashboards in Collibra.

  • Collaborate with data engineers and architects to implement data quality solutions within data pipelines and data warehouses.

  • Educate and train business and IT stakeholders on data management capabilities and solutions.

Qualifications, Education & Experience:

  • Bachelor's Degree (required) or master’s degree (preferred) in Computer Science, Information Systems, or a related field.

  • 7-10+ years of overall technology experience in architecture, design, engineering, and implementing technology solutions and services.

  • 5+ years of successful team leadership experience at an enterprise level within a company or as a consultant

  • 5+ years of deep data governance and data quality experience including engineering practices, tools, and standards.

  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.

  • Ability and interest in mentoring technical staff and raising our collective technical competencies. coupled with a desire to continually expand personal knowledge/skills.

  • Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams.

  • Excellent problem-solving skills and attention to detail.

  • Domain knowledge of the Insurance Industry (preferably P&C) as well as the technologies and solutions relevant to this industry is desired.

  • Recent experience working in a Scaled Agile environment with Agile tools, e.g. Jira, Confluence, etc.

Knowledge, Skills & Competencies:  

  • Deep expertise in Collibra platform including Data Governance and Data Quality.

  • In-depth knowledge of data governance principles, data stewardship processes, data quality concepts, data profiling and validation methodologies, techniques, and best practices.

  • Hands-on experience in implementing and configuring Collibra Data Governance, Collibra Data Quality, including developing metadata ingestion, data quality rules, scorecards, and workflows.

  • Strong experience in configuring and connecting to various data sources for metadata, data lineage, data profiling and data quality.

  • Experience integrating data management capabilities (MDM, Reference Data)

  • Good experience with Azure cloud services, Azure Data technologies and Databricks

  • Solid understanding of relational database concepts and ETL processes.

  • Proficient use of tools, techniques, and manipulation including programming languages (Python, PySpark, SQL etc.), for data profiling, and validation.

  • Data modeling with tools like Erwin and knowledge of insurance industry standards (e.g., ACORD) and insurance data (policy, claims, underwriting, etc.).

  • Familiarity with data visualization tools like Power BI.

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.  

#LI-KG1

#LI-Hybrid

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional 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.

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Category: Engineering Jobs

Tags: Agile Architecture Azure Computer Science Confluence Databricks Data governance Data management Data pipelines Data quality Data visualization Engineering ETL Jira Pipelines Power BI Privacy PySpark Python RDBMS SQL

Perks/benefits: Career development Flex hours Insurance

Region: North America
Country: United States

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