Senior Java Data Engineer (HYBRID) IN WORCESTER MA)

For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, ESG initiatives and IDE journey.

Our technology team is currently seeking a Senior Data Engineer with Java experience to join our growing team in our Worcester, MA office in a hybrid work arrangement.   

This is a full time, exempt position.

POSITION OVERVIEW:  

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis.  This role primarily will become proficient with all internal & external data produced and consumed by THG.

This role will be driving larger more complicated projects independently as well as mentoring less experienced engineers. Data Engineer will collaborate with business partners and cross-functional teams on data/reporting requests. The assignments will become broader in nature, usually requiring originality and ingenuity. This role will be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines and solutions.

IN THIS ROLE, YOU WILL HAVE: 

• Proven experience in data engineering, implementation of best practices for data storage, integration, transformation, access, etc., within Azure and on-premise platforms
• Experience in building and optimizing real-time and near real time data integration solutions for scale, performance, reliability, and cost efficiency
• Experience with event streaming solutions like Apache Kafka and /or near real time messaging solutions such as Azure Service Bus is preferred.
• Experience in optimizing data pipelines to account for scale, performance, reliability, and cost efficiency is preferred
• Experience in Java development with Java 8 & above, J2EE, , Hibernate, Maven, GiT, Jenkins, JSON frameworks, XML, JMS, JDBC, Junit based testing frameworks like Mockito
• Demonstrated proficiency in Spring Framework including Data (JDBC, ORM, JMS), Security & Integration
• Demonstrated proficiency in relational, NoSQL, hierarchical, and entity relationship data modeling
• Experience in creating easy to consume documentation of data processes and solutions to aid in knowledge transfer and continuity.
• Experienced in agile development methodologies, developing high quality code, and DevOps best practices
• Strong foundations with core Java concepts. Good understanding of Aspect Oriented Programming (AOP), Test Driven Development (TDD)
• Solid grasp of HTTP, RESTful webservices, Linux operating systems
• Coaching and mentoring less senior team member as well as conducting reviews for their work

WHAT YOU NEED TO APPLY: 

• Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent 
• 5 plus years professional experience in data engineering, data architecture, data integration
• 5 plus years professional experience in Java development and Spring Framework
• Must be eligible to work in the United States without requiring sponsorship now or in the future (ie. US Citizen or green card holder)
• PREFERRED: Holds active Azure DP-203 (Microsoft Certified: Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also applicable
• Proficiency in the following languages: Java, SQL, Python and Scala (prioritized order)
• Data Modeling: Creation of conceptual, logical, and physical data models for data objects, object attributes, and their relationships
• Analytical Skills: Data Engineers work with large amounts of data that will include facts, figures, and number crunching.  You will need to profile the data and analyze it to find conclusions.
• Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document.  You will need to write and speak clearly, easily communicating complex ideas.
• Critical Thinking: Data engineers must look at the numbers, trends, and data and come to new conclusions based on the findings.
• Attention to Detail: Data is precise.  Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.
• Math Skills: Data engineers need advanced math skills to estimate numerical data.  Insurance experience required as well as insurance products.
• Debugging Skills: Data engineers need the ability to analyze issues with components in our data solutions and come up with remediation plans.

CAREER DEVELOPMENT:

It’s not just a job, it’s a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you – at every level – to grow and develop.

BENEFITS:

We offer comprehensive benefits to help you be healthy, build financial security, and balance work and home life. At The Hanover, you’ll enjoy what you do and have the support you need to succeed.

Benefits include:

• Medical, dental, vision, life, and disability insurance
• 401K with a company match
• Tuition reimbursement
• PTO
• Company paid holidays
• Flexible work arrangements
• Cultural Awareness Day in support of IDE
• On-site medical/wellness center (Worcester only)
• Click here for the full list of Benefits

EEO statement:

The Hanover values diversity in the workplace and among our customers.  The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.  

Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law.” 

As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities.  Individuals with disabilities who wish to request a reasonable accommodation to participate in the job application or interview process, or to perform essential job functions, should contact us at: HRServices@hanover.com and include the link of the job posting in which you are interested.

Privacy Policy:

To view our privacy policy and online privacy statement, click here.  

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