Data Engineer at Flourish

Since our founding in 2017, Flourish has been dedicated to empowering financial advisors to better secure the financial futures of their clients. We specialize in supporting independent Registered Investment Advisers by providing access to financial products through scalable, intuitive technology. Today, we partner with over 700 firms managing more than $1.5 trillion in assets across our Flourish Annuities, Flourish Cash, and Flourish Crypto platforms. Based in New York City, we operate as an independent subsidiary of MassMutual Life Insurance Company, offering our team the agility of a rapidly growing startup combined with the stability of a Fortune 500 organization.

Key outcomes

• Design and implement robust data pipelines that support the analytics requirements across our various business verticals.
• Maintain a comprehensive understanding of end to end data interactions, ensuring that transformations and dependencies are optimized for accurate business decision-making.
• Ensure the performance, reliability, and security of our data infrastructure through proactive monitoring and optimization.
• Evaluate emerging industry trends and technologies by executing proofs of concept and recommending new processes to support our evolving business needs.
• Serve as the primary subject matter expert for data engineering, taking projects from initial conceptualization to full implementation.

Requirements

• A bachelor’s degree or equivalent professional experience.
• At least 3 years of experience in data engineering roles.
• A minimum of 2 years of experience designing, building, and optimizing data warehouses, lakes, and pipelines using modern tools such as Airflow, DBT, Kafka, Iceberg, and cloud data warehouses like Snowflake, Redshift, or BigQuery.
• At least 3 years of experience working within a cloud-based ecosystem, with a preference for AWS services such as RDS, Glue, and Athena.
• Strong computer science fundamentals, including proficiency in algorithms, data structures, and distributed systems.
• Excellent communication skills with the ability to explain technical concepts to diverse stakeholders, including product managers and designers.

Preferred qualifications

• Advanced proficiency in Python and its associated data ecosystem, such as Pandas, Polars, or Numpy.
• Expertise in SQL, particularly with PostgreSQL or Redshift, including administration and query optimization.
• Experience with infrastructure as code and containerization tools like Terraform, Docker, and Kubernetes.
• Familiarity with Linux operating systems, Bash scripting, and REST APIs.
• Experience working within Agile or Scrum development environments using version control systems like Git.

Compensation

The base salary range for this full-time, on-site position is $122,200 to $190,000. In addition to base pay, we provide bonus and incentive opportunities to ensure our compensation remains competitive and equitable.

How to apply

If you are a collaborative engineer eager to take ownership of data systems in a fast-paced environment, we invite you to submit your application. We look forward to learning more about your experience and how you can contribute to our mission of supporting financial advisors.