Software engineer data
About Betterment
Betterment is a leading, technology-driven financial services company that offers investing and retirement solutions for retail investors and investment advisors as well as financial wellness solutions, including a 401(k) for small and medium-sized businesses. Our team is passionate about our mission: making people’s lives better. We’re headquartered in NYC and offer hybrid NY-based positions (Four days/ week in-office). About The Role The Data Platform Engineering team, pivotal to Betterment's success, builds and maintains the data platform & infrastructure, facilitates our product, engineering and analytics teams, and propels the company's growth by unlocking our data’s potential. Engineers on the Data Platform team contribute to the vision and technical excellence that underpin Betterment's architecture. They help lead in making high-level decisions about what patterns and frameworks will best help us achieve our data objectives. They operate with autonomy and ownership. They conceptualize, design, plan and execute projects independently. This role is based out of our NYC office. For jobs based out of our NYC HQ, we require in office attendance Monday through Thursday, weekly. Below we've reflected the base salary range we would offer for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment’s total compensation package for employees.- New York City: $110,000 - $135,000
- Data Platform Development and Management: Maintain and build new data services that align with engineering objectives. Ensure stability, scalability, and performance of the data platform, including services such as Redshift, Kafka, Airflow, Aurora Postgres, and more
- Data Modeling and Pipelining: Create and optimize data pipelines using Airflow & DBT Develop, construct, test, and maintain architectures (like large-scale processing systems)
- Cloud Operations: Efficiently operate and manage resources in an AWS environment using tools like Terraform, Cloud Formation, including monitoring and alerting set up via Datadog and Sentry
- Collaboration: Work closely with product, analytics, and other engineering teams to meet their data needs
- Code Quality & Best Practices: Set high standards for SQL and Python, ensuring quality, performance, and security
- Continuous Improvement: Advocate for best practices in data governance, quality control, and embody a culture of continual learning and improvement within the team
- 1-3 years of experience in data engineering in a cloud based environment with a good understanding of the modern data technology stack
- Proficiency in SQL and Python. Familiarity with AWS technologies like RDS, Aurora, and Redshift, and general data engineering tooling like Kafka, Airflow, DBT, Terraform, and DataDog is a strong plus
- Demonstrated ability to execute on projects, collaborate with cross-functional teams, and collaborate in decision-making
- Strong analytical and problem-solving skills, coupled with a solution-oriented mindset
- Excellent written and verbal communication skills, capable of translating technical subjects into clear and concise terms
- Bachelor's or higher degree in Computer Science, Engineering, or a related field
- A competitive suite of benefits, including: medical, dental, and vision insurance; life and AD&D insurance; STD and LTD benefits, including infertility support and World Professional Association for Transgender Health approved benefits; and generous parental leave.
- Flexible paid time off (and encouragement to use it!)
- Meaningful opportunity for community building through our 7 Employee Resource Groups
- Empowerment to own and lead change and affect the business
- Dedicated professional development opportunities
- Lunch from our in-house chef at our NYC headquarters
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