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.
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
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.
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).
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 career at Bestow!
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At Bestow, we're on a mission to increase financial stability for everyone, and we need a talented Marketing Technology Data Engineer to help us achieve that. Located in vibrant Dallas or open to remote work across the contiguous US, this role offers a fantastic opportunity to become an integral part of our innovative team. As our Marketing Technology Data Engineer, you will be pivotal in overseeing the data architecture that powers the integration and activation of data across our dynamic product suite. You'll build robust solutions for managing both real-time and batch data, ensuring that our client-facing applications run smoothly. Your work will include creating and implementing data pipelines, improving data quality, and collaborating closely with cross-functional teams to deliver insightful solutions tailored to our clients’ needs. With your experience in SQL and Python, alongside your expertise in cloud frameworks like Google Cloud Platform, you will help us design efficient systems for data processing and machine learning, enabling our marketing SaaS offerings to shine. Bestow fosters a culture that values teamwork, innovation, and individual growth, so if you’re passionate about harnessing data to drive business performance and client insights, we invite you to explore this exciting opportunity with us!
Our purpose is to make hard things easier. Life insurance is an old industry. Like really old. And the historic names have been doing it one way for a long time. Not us. We’re here to reimagine the entire industry, creating game-changing tech, AI...
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