Senior Data Engineer

We are seeking a highly skilled and motivated Senior Data Engineer to join the Enterprise Data & Analytics team. In this role, you will play a crucial part in designing, building, and maintaining the data pipelines that powers our predictive & descriptive use cases. Your expertise will help us transform raw data into actionable insights, ensuring that our data solutions are robust, scalable, and efficient. The ideal candidate will have a passion for data engineering, thrive in a collaborative environment and are excited about using cutting-edge technologies to drive business success. 

You will

• Mentor junior data engineers and contribute to establishing best practices for data engineering.
• Design, build and maintain robust & scalable data pipelines to feed descriptive analytics, predictive analytics, and reporting use cases. 
• Work closely with business partners, data scientists & BI team to understand the business process, data needs and translate them into an effective data solution. 
• Construct meaningful data assets sourced from structured, semi structured, and unstructured data. 
• Ensure data quality, accuracy and integrity of the data assets created. 
• Automate the data pipelines end to end. 
• Participate in data modeling and schema design. 
• Collaborate with cross-functional teams to identify the right data sources for the use cases. 
• Perform data discovery and analysis on various data sources. 
• Find and tell the compelling narrative of the data that aligns to the intended audience. 
• Create and maintain Data Dictionary for the data pipelines. 
• Participate in code reviews and documentation efforts to maintain high-quality code and data documentation. 
   

You have

• Bachelor’s degree in STEM related field or equivalent.  
• 7 + years of experience in Data Engineering or similar role. 
• Strong understanding of data engineering principles, best practices, and software development life cycle. 
• Proficiency in SQL, Python, PySpark and bash scripts. 
• Knowledge of Databricks.
• Experience with the design and development of ETL/ELT process. 
• Experience working in a Datawarehouse.
• Understanding of Data modeling and in particular Dimension modeling. 
• Experience in Alteryx is a plus. 
• Proven experience in designing and implementing robust data models and data pipelines.
• Strong analytical and problem-solving skills. 
• Excellent communication and collaboration skills to work across multiple groups within the organization. 

Location

This is a flexible position requiring 3 days per week in office, with preference given to candidates within commuting proximity to a Guardian office, which include:

• Bethlehem, PA
• Hudson Yards, New York City
• Holmdel, NJ
• Pittsfield, MA

Salary Range:

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.  Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. 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 applicant_accommodation@glic.com.

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.