Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest.
At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.
As an Analytics Engineer, you will play a crucial role in developing and implementing data models and analytics solutions using DBT and Snowflake. Your primary focus will be on leveraging these technologies to design and build scalable data pipelines, perform complex data transformations, and develop analytical models that contribute to our risk management and re-platforming strategies. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the successful delivery of robust and reliable solutions. You will be responsible for change management and data governance of re-platforming efforts and of translating the existing data models to the new platform.What you will be doing:- Utilize DBT and Snowflake to design, develop, and maintain scalable and efficient data pipelines for analytics purposes.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
- Work with cross functional teams on data requirements, quality assurance, and data infrastructure needs on product initiatives
- Perform complex data transformations, including data cleaning, aggregation, and enrichment, to ensure the availability of high-quality data for analysis.
- Develop and maintain analytical models and algorithms to support data assessments, portfolio analysis, and predictive modeling.
- Optimize and fine-tune data pipelines and models to improve performance, accuracy, and reliability.
- Conduct data profiling, analysis, and validation to identify data quality issues and implement appropriate solutions.
- Monitor and troubleshoot data pipelines and analytics workflows to ensure smooth and efficient operations.
What you should bring:- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred.
- Prior experience working as a Data Engineer, Analytics Engineer, or similar role preferably in the fintech or financial services industry.
- Proficiency in implementing data solutions using DBT (Data Build Tool) and Snowflake is essential.
- Strong knowledge of SQL and expertise in data modeling, data warehousing, and ETL processes.
- Experience with Python or other programming languages for data manipulation and scripting.
- Familiarity with risk management concepts and analytics methodologies in the fintech domain.
- Demonstrated ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail, with a focus on delivering high-quality, reliable solutions.
- Experience with version control systems (e.g., Git) and agile development methodologies is a plus.
- Familiarity with other data engineering tools, such as Apache Airflow, is a plus.
Who we are:
It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, How can I help? and then How can we make this even better? If you’re ready to roll up your sleeves and help parents raise a financially smart generation, apply to join our team.
Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.