Principal SAS Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Plano, TX
Hybrid
117K-225K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Join us, and pursue your tomorrow, today.
The Role
The Principal SAS Data Engineer leads a team, managing complex data solutions, enhancing data analytics, and ensuring data quality while collaborating with stakeholders.
Summary Generated by Built In

Pay Philosophy
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
Description
We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.
This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH.
Job introduction:
The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members.
About the job:

  • Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners.
  • Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance.
  • Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes.
  • Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations.
  • Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing.
  • Contribute to the development and enhancement of solutions, ensuring alignment with business needs.
  • Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing.
  • Communicate effectively and gather feedback from stakeholders to ensure alignment and support.
  • Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives.


Qualifications

  • Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred.
  • Minimum 8+ years of Data Engineering experience.
  • In-depth knowledge of IT concepts, strategies, and methodologies.
  • Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS.
  • Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles.
  • Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies.
  • P roficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies.
  • Understanding of code management practices and monitoring tools, along with GitHub.
  • Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations.
  • Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations.
  • Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly.
  • Exceptional oral and written communication skills; strong presentation capabilities.
  • Proven ability to effectively collaborate with all levels of the organization.

About Us
As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.
At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.
We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage.
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.
Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco


USD $117000.00 - $225000.00

Top Skills

Db Warehouse Technologies
Git
Python
R
SAS
SQL

What the Team is Saying

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The Company
HQ: Boston, MA
40,000 Employees
Hybrid Workplace
Year Founded: 1912

What We Do

Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.

Why Work With Us

We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.

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Liberty Mutual Insurance Teams

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Digital & Technology
About our Teams

Liberty Mutual Insurance Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQBoston, MA
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Indianapolis, IN
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New York, NY
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Plano, TX
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