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Marketing Technology Data Engineer

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

WHAT YOU'LL DO

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.

WHO YOU ARE

  • 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 career at Bestow!

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CEO of Bestow
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Melbourne O'Banion
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Average salary estimate

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What You Should Know About Marketing Technology Data Engineer, Bestow

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!

Frequently Asked Questions (FAQs) for Marketing Technology Data Engineer Role at Bestow
What are the responsibilities of a Marketing Technology Data Engineer at Bestow?

As a Marketing Technology Data Engineer at Bestow, your primary responsibilities will include building real-time and batch data management solutions, developing CI/CD data models and pipelines, and designing end-to-end data pipelines. You will ensure data quality and availability for our enterprise clients while leveraging Google Cloud tools and collaborating with cross-functional teams to meet platform requirements.

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What qualifications are needed for the Marketing Technology Data Engineer position at Bestow?

A successful candidate for the Marketing Technology Data Engineer role at Bestow should have at least 5 years of experience in data engineering, proficiency in SQL and schema design, and strong programming skills in Python. Familiarity with cloud frameworks, CI/CD pipelines, and data orchestration tools is also essential for this position.

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How does the Marketing Technology team operate at Bestow?

The Marketing Technology team at Bestow operates like a startup within a startup, focusing on creating impactful solutions for diverse clients. The team is dedicated to advancing Bestow's marketing SaaS offerings by designing innovative strategies that leverage various data sources to enhance business performance and deepen customer insights.

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What tools and technologies will the Marketing Technology Data Engineer use at Bestow?

The Marketing Technology Data Engineer at Bestow will work with various tools and technologies, primarily Google Cloud Platform (GCP), including services like BigQuery and Cloud Functions. Experience with data orchestration tools like Apache Airflow and containerization technologies like Docker will also be vital for this role.

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What opportunities for growth does Bestow offer to Marketing Technology Data Engineers?

At Bestow, we pride ourselves on offering substantial growth opportunities for our employees. As a Marketing Technology Data Engineer, you will have access to a supportive work environment that encourages professional development, with avenues to take on new challenges, lead projects, and enhance your skills in advanced data engineering and analytics.

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Common Interview Questions for Marketing Technology Data Engineer
Can you describe your experience with real-time data processing as a Marketing Technology Data Engineer?

In answering this question, you should focus on specific real-time data projects you've managed, detailing the technologies used and your role in ensuring low latency and high availability. Highlight any challenges faced and how you overcame them to deliver timely insights.

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What strategies do you use to ensure data quality and availability in your engineering work?

Discuss your approach to implementing automated monitoring and alerting systems for data quality checks. Provide examples of how you've successfully improved data availability for previous projects through rigorous development and testing practices.

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How do you handle collaboration with cross-functional teams?

Highlight your experiences working with product, analytics, and data science teams. Emphasize your communication skills and your ability to understand and integrate their requirements into your data engineering solutions.

Join Rise to see the full answer
What cloud technologies are you proficient in, and how have you applied them in your previous roles?

Detail your experiences with cloud technologies like Google Cloud, AWS, or Azure, and how you've utilized these platforms for data pipeline creation, storage, and processing. Be specific about the tools you've used and the outcomes of your work.

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Can you explain your process for designing and implementing CI/CD pipelines in data projects?

Provide an overview of the CI/CD pipeline you've constructed, including the tools used (like Docker or CircleCI) and your method for testing and deploying data models. Discuss any key lessons learned during this process.

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How do you approach feature engineering in data processing?

Discuss your methodologies for identifying and creating relevant features from raw data that enhance model performance. Share practical examples where your feature engineering led to significant improvements in insights or predictions.

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What are some challenges you've faced in data architecture, and how did you overcome them?

Identify specific technical challenges encountered in data architecture, such as scalability issues or integration hurdles. Discuss the strategies and frameworks you employed to resolve these challenges and how the solutions benefited your projects.

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How do you ensure effective data integration from multiple sources?

Explain your approach to designing data integration solutions, emphasizing techniques for blending data from various sources. Share any tools or methodologies you've implemented to streamline the process and improve accuracy.

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What experience do you have with Python, and how have you utilized it in data engineering?

Detail your Python programming experience by mentioning specific libraries or frameworks you've used for data processing. Provide examples of projects where your Python code resulted in significant efficiencies or capabilities.

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Why do you want to work as a Marketing Technology Data Engineer at Bestow?

Articulate your reasons for wanting to join Bestow, aligning your career goals with the company's mission. Discuss how your values and experiences connect to Bestow's approach to insurance technology and what excites you about the potential to innovate in this role.

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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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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Performance Bonus
Family Medical Leave
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 14, 2024

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