Senior Data Engineer - Investments Tech

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Are you looking for a chance to be part of a high performing team that is passionate about data? Does the thought of building a modern cloud-based data platform from the ground up excite you? We are looking for someone to join our team to help enable solutions for the next generation of data analysis while working in a fast-paced environment that fosters growth and development. If this sounds like you, we want to hear from you.
The Liberty Mutual Investments Data Platform team is actively searching for a Senior Data Engineer to help implement, expand and support our Enterprise Data Warehouse and Business Intelligence platform. You will be an integral part of our migration from our on-premises systems to the cloud. Our cloud solution includes Snowflake for our enterprise data warehouse, Snaplogic as our ETL tool and Control-M for our scheduling tool, all on AWS. You will be a vital member of a newly formed agile team helping to implement the technical components, mentoring junior staff, performing hands on coding as well as interacting with business stakeholders to understand their needs. This is a visible role that allows you to share your knowledge and skills with other developers and product teams in a collaborative environment.
Job Summary:

Design, develop, and maintain dimensional models and ETL processes to load Data Warehouse and support enterprise reporting capabilities
Participate in daily scrum meetings and collaborate with other agile team members
Mentor and provide guidance to new and junior data engineers
Participate in code reviews and champion the adoption of best practices
Support the data environment by releasing new features, resolving issues for users, and working with other technology teams

Qualifications

Bachelor's degree in technical or business discipline or equivalent experience
Generally, 3-5 years of professional experience in a Data Warehouse environment
Domain expertise in Investments / Asset Management, Finance
Data modeling, data warehousing, and modern data platform component experience
Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes
Experience with public cloud data platforms - Snowflake (experience preferable), AWS, Azure
Experience with Master Data Management platforms, Enterprise Data Catalogs a plus
Knowledge of business intelligence, analytics, and reporting tools (Power BI, Tableau, etc.)
Experience with Python or other programming languages
Experience with Git/Bitbucket
Understanding of DevOps and CI/CD pipeline principles a plus
Familiarity with Agile development concepts - Test-Driven Design, MVP, iterative and incremental design and delivery

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates-as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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MIRANDA Paquette

PORTFOLIO ARCHITECT

LONG TENURES

Ample opportunities for growth keeps employees around

Miranda Paquette is part of the 85 percent of leadership that has been promoted from within and the 46 percent of women at the executive or manager level in Liberty Mutual’s U.S. offices. Paquette’s career at Liberty Mutual started with an internship 17 years ago, and she recently moved into technical leadership as a portfolio architect. In addition to on-the-job training, Paquette used Liberty Mutual’s tuition reimbursement benefit to earn a master’s degree in computer science to level up her career. As a woman in tech, she says DEI initiatives have also helped her grow tremendously as a per

Showing humility and admitting when you make mistakes builds a safety net for people to embrace experimenting and learning from setbacks.

NATALIE MONTALVO

PRODUCT OWNER II

DIVERSE MENTORSHIP

DEI initiatives have tangible career outcomes

In 2021, Natalie Montalvo worked with a mentor through a program within the LGBTQ+ employee resource group, Pride@Liberty. Over the course of 9 months, Montalvo expanded her professional network, gleaned tips for interviewing, sharpened her communication skills and, most importantly, built confidence to help advance her career. “My mentor, who still meets with me today, has been instrumental in my career advancement,” said Montalvo. Now, she is paying it forward by working as a mentor in the Women in Leadership program at Liberty Mutual.

ERGs have had a significant impact on my career. I’ve attended career-shaping panel discussions, and made great friends along the way.

GREGORY BOMKAMP

PRINCIPAL SOFTWARE ENGINEER

UNCONFINED INNOVATION

Technologists are free to make a fast, direct impact

Gregory Bomkamp can rattle off a laundry list of the cool tech he uses in his role, but he says the most exciting aspect of his team is “the autonomy we’re given to explore innovative solutions. We never feel confined to any specific stack, technology or framework.” His team is only just beginning to “unlock the possibilities” of AI and machine learning, harnessing the immense amount of data to discover patterns and insights. On a typical day, after the morning Agile Scrum meeting, his team taps into pair programming, collaborative design and knowledge sharing to brainstorm solutions.

Engineers spend significantly less time on infrastructure and getting their ‘hello-world’ code out there — they skip straight to writing code that provides value.