Senior Data Engineer (US Startup/Email Marketing)

Flodesk
+1
Indochina Riverside, 74 Bach Dang, Hai Chau, Da Nang
At office
Posted 3 days ago

Top 3 reasons to join us

  • Fast-growing startup
  • Product that is transforming the industry
  • Dynamic team with great company culture

Job description

Flodesk is one of the world’s fastest-growing email marketing companies, built to help creators sell online and design emails that people love to get. Our commitment to small business owners is to create simple and intuitive tools that help them grow, nurture, and monetize their email list.  

We’re a start-up company headquartered in San Francisco, California, with a team that reflects the diversity and creativity of the people we serve. Join our mission to level the playing field for small business owners through good design!

 

About the Opportunity

  • Design, develop, and maintain efficient, scalable, and reliable data pipelines using ETL/ELT processes.
  • Work with large, complex datasets from multiple sources to integrate, clean, and prepare them for analysis.
  • Optimize data pipelines for performance, scalability, and cost-efficiency.
  • Implement and enforce best practices for data governance, security, and compliance, ensuring adherence to relevant data privacy regulations (e.g., GDPR, CCPA).
  • Proactively monitor data pipelines and resolve data quality, performance, and reliability issues.
  • Contribute to designing and implementing data storage solutions, including data lakes, data warehouses, and relational databases.
  • Stay informed on industry trends and best practices in data engineering and related technologies.

Your skills and experience

What You Need to Succeed

  • At least three years of experience in data engineering, data warehousing, or related fields.
  • Deep understanding of data architecture, modeling, and warehousing best practices.
  • Experience building and maintaining ETL/ELT pipelines and integration workflows in tools like Dagster, Airflow, or similar platforms.
  • Expertise in SQL for data modeling and database optimization.
  • Proficiency in programming languages such as Python for data pipeline development and automation.
  • Ability to troubleshoot and optimize complex data systems for performance and scalability.
  • Good communication skills and the ability to collaborate effectively with cross-functional teams.

Nice-to-Have

  • Familiarity with the AWS ecosystem.
  • Knowledge of real-time data streaming solutions.
  • Experience with data observability and monitoring platforms.
  • Knowledge of modern data orchestration tools such as DBT
  • Strong problem-solving abilities and experience working with large datasets.

Why you'll love working here

We are a profitable, fast-growing startup with a product that is transforming the industry. We value creativity, hard work, human connection, diversity, and being a great place to work!

  • Competitive Compensation: Enjoy an attractive salary with a 13th-month bonus.
  • Performance Bonuses: Earn extra bonuses based on the company's OKRs and your contributions.
  • Stock Options: Share in our success with stock options for high contributions.
  • Personal Development: Invest in yourself with our Personal Development Package, offering up to $1000/year for learning and growth.
  • Premium Healthcare: Take care of yourself with comprehensive healthcare insurance.
  • Flexible Work Hours: Embrace work-life balance with flexible working hours.
  • Five-Day Workweek: Enjoy a standard workweek from Monday to Friday.
  • Professional Equipment: Work efficiently with top-notch equipment, including a Macbook Pro or external screen in our modern office.
  • Career Growth: Unlock opportunities for advanced career development, including overseas opportunities.

If you're passionate about making a difference and thriving in a dynamic, collaborative environment, we want to hear from you! Apply now and join us in shaping the future.

Design emails people love to open

Company type
IT Product
Company industry
IT Services and IT Consulting
Company size
1-50 employees
Country
United States
Working days
Monday - Friday
Overtime policy
No OT