Demo

Data Engineering Manager

Amica Insurance
Island, RI Full Time
POSTED ON 2/22/2025
AVAILABLE BEFORE 3/21/2025
Description

Data Engineering Manager – Hybrid (Life Data)

10 Amica Way, Lincoln, RI 02865

Thank you for considering Amica as part of your career journey, where your future is our business.

At Amica, we strive to build a culture of belonging where employees are encouraged to share their unique experience to enrich our workplace, strengthen our company’s mission and broaden our vision of what’s possible. We’re focused on creating a workplace that works for all. We’ll continue to provide training, guidance, and resources to make Amica a true place of belonging for all employees. Want to learn more about our commitment to diversity, equity, and inclusion? Visit our DEI page to read about it!

As a mutual company, our people are our priority. We seek differences of opinion, life experience and perspective to represent the diversity of our policyholders and achieve the best possible outcomes.

This position is a hybrid role based in Lincoln, RI.

This role does not currently offer employment visa sponsorship

Position Summary

Builds high quality, scalable and resilient distributed systems that propel analytics platforms. Responsible for building, managing and optimizing data pipelines that deliver curated data for key analytics consumers and initiatives. Solutions a wide variety of near real-time and batch analytical processes enabling business users to make critical decisions. Possesses a strong combination of IT, data governance, analytics, and creative skills. Plays a pivotal role in extending the next generation of the data ecosystem and operationalizing the most urgent data and analytics initiatives.

Responsibilities

  • Manage 3-5 employees
  • Responsible for maintenance and development of Life Cloud Data Warehouse (Snowflake)
  • Work with business units to develop data assets
  • Work with Reporting and Analytics group to support data needs
  • Responsible for timeliness, accuracy, and completeness of data
  • Manage all data operations/workflows from sources to the warehouse (AWS)

Requirements

  • Bachelor’s degree in data management, computer science, information systems, mathematics, data/analytics or a related field or equivalent work experience is required.
  • Work experience in data management disciplines including data integration, data modeling, optimization and data quality that is commensurate with job level
  • Basic experience working with data discovery, analytics, visualization and business intelligence tools.
  • Strong experience with scripting languages such as Python, PowerShell, or Linux
  • Strong experience with managing and maintaining Snowflake Cloud environments
  • Intermediate understanding of data science platforms R and Python.
  • Strong understanding of ETL/ELT platforms
  • Thorough knowledge of relational and non-relational database theory and structured query language (SQL).
  • Superior ability to design, build and implement data pipelines, ETL processes, and data structures.
  • Demonstrated success integrating large, heterogeneous datasets and automating repetitive data preparation tasks.
  • Skilled working across multiple deployment environments including cloud, on-premises and hybrid.
  • Adept applying software engineering methodologies and DevOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows across the organization.
  • Strong management skills, which include mentoring, coaching, and developing less experienced staff.
  • Persuasive, with excellent interpersonal skills and able to interact effectively with others, including team members and senior management.

Total Rewards

  • Medical, dental, vision coverage, short- and long-term disability, and life insurance
  • Paid Vacation – you will receive at least 13 vacation days in the first 12 months, amounts could be greater depending on the role. While able to use prior to accrual, vacation time will accrue monthly.
  • Holidays - 14 paid holidays observed
  • Sick time - 6 days sick time at hire, 6 additional days sick time at 90 days of employment
  • Generous 401k with company match and immediate vesting. Additionally, annual 3% non-elective employer contribution
  • Annual Success Sharing Plan - Paid to eligible employees if company meets or exceeds combined ratio, growth and/or service goals
  • Generous leave programs, including paid parental bonding leave
  • Student Loan Repayment and Tuition Reimbursement program
  • Generous fitness and wellness reimbursement
  • Employee community involvement
  • Strong relationships, lifelong friendships
  • Opportunities for advancement in a successful and growing company

Amica conducts background checks which includes a review of criminal, educational, employment and social media histories, and if the role involves use of a company vehicle, a motor vehicle or driving history report. The background check will not be initiated until after a conditional offer of employment is made and the candidate accepts the offer. Qualified applicants with arrest or conviction records will be considered for employment.

The safety and security of our employees and our customers is a top priority. Employees may have access to employees’ and customers’ personal and financial information in order to perform their job duties. Candidates with a criminal history that imposes a direct or indirect threat to our employees’ or customers’ physical, mental or financial well-being may result in the withdrawal of the conditional offer of employment.

About Amica

Amica Mutual Insurance Company is America’s oldest mutual insurer of automobiles. A direct national writer, Amica also offers home, marine and umbrella insurance. Amica Life Insurance Company, a wholly owned subsidiary, provides life insurance and retirement solutions. Amica was founded on the principles of creating peace of mind and building enduring relationships for and with our exceptionally loyal policyholders, a mission that thousands of employees in offices nationwide share and support.

Equal Opportunity Policy: All qualified applicants who are authorized to work in the United States will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, family status, ethnicity, age, national origin, ancestry, physical and/or mental disability, mental condition, military status, genetic information or any other class protected by law. The Age Discrimination in Employment Act prohibits discrimination on the basis of age with respect to individuals who are 40 years of age or older. Employees are subject to the provisions of the Workers' Compensation Act.

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