Marketing Technology Data Engineer

Posted 17 Days Ago
Be an Early Applicant
Remote
140K-150K Annually
5-7 Years Experience
Insurance
The Role
The Marketing Technology Data Engineer will oversee data architecture for data integration, transformation, and activation. Key responsibilities include building solutions for real-time and batch data management, developing CI/CD data models, improving data quality, and leveraging Google Cloud tools. Collaboration with cross-functional teams is essential to meet product and client needs.
Summary Generated by Built In

ABOUT BESTOW


Bestow is a leading insurance technology platform serving some of the world's largest and most innovative life insurers. We are on a mission to increase financial stability for everyone. Bestow is a team of mission-driven, results-oriented individuals. We offer all employees a remote (contiguous 48 only)/hybrid workplace, meaningful benefits, substantial growth opportunities, and equity.


Bestow participates in the E-Verify Program.


ABOUT THE TEAM


The Bestow Marketing Technology team operates like a startup within a startup, catering to diverse clients.


Our mission is to:

1. Create a simple yet powerful end-user experience that meets our clients' marketing and analytical needs.

2. Design and implement innovative strategies leveraging 1st, 2nd, and 3rd-party data.

3. Drive business performance and deepen customer insights.

4. Advance Bestow's marketing SaaS offerings.


As a member of our team, you'll play a crucial role in overseeing the data architecture that powers the integration, transformation, and activation of data across our rapidly evolving product suite.


This role reports to our VP of Marketing Technology and is open to Remote (US) #LI-Remote.



ABOUT THE ROLE 


We are looking for a Marketing Technology Data Engineer to contribute in the following ways:

  • Build robust solutions for managing real-time and batch data, including data integrations with partners via feeds or API, and interactive data reporting for client-facing applications.
  • Develop hardened and repeatable CI/CD data models and pipelines to enable reporting, modeling, and machine learning.
  • Design and implement data pipelines to support blending data from multiple sources and machine learning models, ensuring efficient data processing and feature engineering.
  • Improve data availability and quality for our enterprise clients through automated monitoring and alerting.
  • Leverage Google Cloud (GCP) tools and other services (e.g., Astronomer - Apache Airflow) to bring data workloads to production.
  • Enable end-user configuration of product features, ensuring seamless synchronization with the broader application.
  • Collaborate with cross-functional teams to deliver informed solutions that meet platform and client needs.
  • Make team-based decisions, fostering shared responsibility for defensible design considerations.

YOUR EXPERIENCE

  • 5+ years working in a data engineering role supporting product, analytics and data science teams
  • Proficient in SQL, and schema design, with experience in columnar databases such as Google BigQuery, Snowflake, or Amazon Redshift (familiarity with GraphQL a plus)
  • 4+ years of Python (or similar experience) writing efficient, testable, and readable code
  • Experience building and optimizing real-time and batch processing solutions, ensuring high availability and low latency, allowing for timely insights and actions.
  • Skilled in designing end-to-end data pipelines in cloud frameworks (GCP, AWS, Azure) with multi-stakeholder requirements
  • Familiarity with Google Cloud (GCP) tools (e.g., Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM)
  • Experience with CI/CD pipelines for data processing (Docker, CircleCI, dbt, git)
  • Proficient in Infrastructure as Code (Terraform or Pulumi) and data orchestration tools (e.g., Apache Airflow)

TOTAL REWARDS


At Bestow, we’re proud to be awarded for our team members, innovative products, and culture. Our standard benefits include:


Competitive salary and equity based on role

Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs 

100% paid-premium option for medical, dental, and vision insurance

Lifestyle stipend to support your physical, emotional, and financial wellbeing

Flexible work-from-home policy and open to remote

Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting

Employee-led diversity, equity, and inclusion initiatives


Recent Employer Awards include:

Best Place for Working Parents 2023

Great Place to Work Certified, 2022 + 2023 + 2024

Built In Best Places to Work, 2022 + 2023

Fortune’s Best Workplaces in Texas 2022 + 2023

Fortune’s Best Workplaces in Financial Services and Insurance 2022 + 2023


We value diversity at Bestow. The company will recruit, hire, and promote regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every team member. 


Thanks for considering a job at Bestow.




Top Skills

Python
SQL
The Company
184 Employees
On-site Workplace
Year Founded: 2016

What We Do

Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow powers instant life insurance solutions for businesses of all sizes, across any channel. In a world full of unknowns, Bestow is on a mission to make life insurance accessible to millions of underserved families by creating the best possible products and experiences that serve future generations.

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