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Pacific Life

Senior Data Engineer I

Reposted Yesterday
In-Office
Charlotte, NC, USA
125K-153K Annually
Senior level
In-Office
Charlotte, NC, USA
125K-153K Annually
Senior level
As a Senior Data Engineer, you will build scalable data solutions, collaborate with teams, and maintain robust data pipelines while following Agile methodologies.
The summary above was generated by AI

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.

Unlock the Power of Data at Pacific Life. We’re seeking a talented Data Engineer to join our Pacific Life Team in Charlotte, NC. Looking for self-starters to help shape the future of data engineering and drive data-driven success.  

This role is onsite in Charlotte, NC. This is not a remote position.

As a Data Engineer you’ll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team.  
 
How you’ll help move us forward: 

  • Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions.  
  • Help build scalable products with robust security, quality and governance protocols.  
  • Create low-level design artifacts, including mapping specifications. 
  • Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. 
  • Create unit/integration tests and implement automated build and deployment. 
  • Participate in code reviews to ensure standards and best practices. 
  • Deploy, monitor, and maintain production systems. 
  • Use the Agile Framework to organize, manage and execute work.  
  • Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. 

The experience you bring: 

  • Bachelor’s degree in Computer Science, Data Science or Statistics  
  • 7+ years of experience in analysis, design, development, and delivery of data  
  • 7+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools  
  • Understanding of data engineering best practices and data integration patterns 
  • 2+ years of experience with DevOps and CI/CD 
  • 1+ years of experience (not just POC) in using Git and Python  
  • Agile Scrum work experience 
  • Effective communication & facilitation; both verbal and written 
  • Team-Oriented: Collaborating effectively with team and stakeholders 
  • Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions 

What makes you stand out: 

  • Experience working with Azure Dev Ops (ADO), Build and Release CI/CD pipelines and orchestration 
  • Experience working with AWS  
  • Experience with automation, scripting, and testing in data delivery environment
  • 2+ years of experience with Snowflake, DBT, Matillion or Profisee  
  • 1+ years of experience with Control-M  
  • 2+ years of experience coordinating work with a combined team of on-shore & off-shore resources within multiple time zones   
  • Understanding of data catalogs, glossary, data quality, and effective data governance 
  • Financial Services/Investments/Insurance domain knowledge 
  • Experience working in complex data systems  
  • Master Data Management/Reference Data experience  

#LI-SD

Base Pay Range:

The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$125,100.00 - $152,900.00

Your Benefits Start Day 1  
 

Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

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