The Role
Build and maintain scalable data pipelines and data models using Airflow, Snowflake, and Databricks; automate cloud infrastructure with Terraform on AWS; monitor data quality and pipeline health; optimize performance and costs; troubleshoot pipeline issues; collaborate with analysts, data scientists, and business stakeholders; document pipelines and solutions.
Summary Generated by Built In
Greenlight is a family technology company on a mission to help families raise financially smart kids and navigate life together. Its suite of products — including the Greenlight app, debit card, Safe Family GPS trackers, and Family Hub — brings together financial tools, safety features, and everyday family management in one connected experience. Designed for busy families who want convenience without compromise, Greenlight continues to innovate alongside the evolving needs of modern life. Today, more than 6.5 million family members trust Greenlight to stay in sync.
At Greenlight, we're here to make the day-to-day easier and futures brighter, so families can spend less time managing life, and more time living it. That's why we get out of bed every morning.
We are looking for a Data Engineer to join our Data Platform team to partner with our product and business stakeholders across risk, operations, and other domains. We are looking for someone who thrives in taking on complex data infrastructure problems with the initiative, problem-solving, and curiosity needed to build reliable and scalable solutions. This role will focus on building robust data pipelines and engineering foundations by ingesting data from disparate sources, ensuring data quality and consistency, and enabling better business decisions through reliable data infrastructure across core product areas.
This is the perfect opportunity for an individual passionate about data engineering, who has the drive to solve complex technical problems and has the ability to grow alongside our team and our company. The ideal candidate can quickly identify data quality issues and bottlenecks, develop creative engineering solutions, and demonstrate the ability to effectively communicate technical decisions to stakeholders. We are seeking someone who is comfortable collaborating directly with data analysts, data scientists, and business stakeholders to understand requirements and strategically architect and implement data solutions — especially when the path forward isn't fully defined. This will include data pipeline development, data modeling, orchestration design, infrastructure automation, and data quality monitoring.
What you will be doing:
- Building and maintaining scalable data pipelines using Airflow to orchestrate data workflows that ingest, transform, and deliver data from various sources into Snowflake and Databricks.
- Designing and implementing data models in Snowflake that support analytics, reporting, and ML use cases with a focus on performance, reliability, and scalability.
- Developing infrastructure as code using Terraform to automate and manage cloud resources in AWS, ensuring consistent and reproducible deployments.
- Monitoring data pipeline health and implementing data quality checks to ensure accuracy, completeness, and timeliness of data as business needs evolve.
- Optimizing data processing workflows to improve performance, reduce costs, and handle growing data volumes efficiently.
- Troubleshooting and resolving data pipeline issues, working through ambiguity to get to the root cause and implementing long-term fixes.
- Bridging gaps between data and the business by working with cross-functional teams across the US and India office to understand requirements and translate them into robust technical solutions.
- Creating comprehensive documentation on data pipelines, data models, and infrastructure, keeping documentation up to date and facilitating knowledge transfer across the team.
What you should bring:
- 2+ years of data engineering experience with strong technical skills and the ability to architect scalable data solutions.
- Hands-on experience with Python for data processing, automation, and building data pipelines.
- Proficiency with workflow orchestration tools, preferably Airflow, including DAG development, task dependencies, and monitoring.
- Strong SQL skills and experience with cloud data warehouses like Snowflake, including performance optimization and data modeling.
- Experience with cloud platforms, preferably AWS (S3, Lambda, EC2, IAM, etc.), and understanding of cloud-based data architectures.
- Experience working cross-functionally with data analysts, analytics engineers, data scientists, and business stakeholders to understand requirements and deliver solutions.
- An ownership mentality – this engineer will be responsible for the reliability and performance of their data pipelines and expected to fully understand data flows, dependencies, and their implications on downstream users.
- A proactive mindset. While work is assigned, engineers are expected to independently drive their work forward, ask thoughtful questions, and bring structure to ambiguous technical problems.
Nice to have:
- Experience with dbt for transformation logic and analytics engineering workflows integrated with data pipelines.
- Familiarity with Databricks for large-scale data processing, including Spark optimization and Delta Lake.
- Experience with Infrastructure as Code (IaC) tools like Terraform for managing cloud resources and data infrastructure.
- Knowledge of data modeling concepts (e.g., dimensional modeling, star/snowflake schemas, slowly changing dimensions).
- Experience with CI/CD practices for data pipelines and automated testing frameworks.
- Experience with streaming data and real-time processing frameworks
Who we are:
It takes a talented team to aim for a mission like ours. We're looking for people who ask "is it bold enough?" People who bring their real selves to the table and push the people around them to do the same. We win by never hesitating to jump in, offer a hand, or share the credit, because we know we're stronger together than apart. And through all of it, the mission stays the thing we measure ourselves against: are we doing right by the families counting on us? If that sounds like your kind of team, we'd love for you to apply.
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.
Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email [email protected].
Skills Required
- 2+ years of data engineering experience
- Hands-on experience with Python for data processing and automation
- Experience building and maintaining data pipelines using Airflow (DAG development, orchestration)
- Strong SQL skills and experience with Snowflake (data modeling, performance optimization)
- Experience with Databricks for large-scale data processing
- Experience with Infrastructure as Code using Terraform
- Experience with AWS cloud services (S3, Lambda, EC2, IAM)
- Proven ability to monitor data pipeline health and implement data quality checks
- Experience working cross-functionally with data analysts, data scientists, and business stakeholders
- Ownership mentality and proactive problem-solving
- Experience with dbt for transformation logic and analytics engineering workflows
- Familiarity with Spark and Delta Lake
- Experience with CI/CD practices for data pipelines and automated testing
- Experience with streaming data and real-time processing frameworks
- Knowledge of data modeling concepts (dimensional modeling, SCDs)
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Greenlight is a debit card and money app for families. Our mission is to shine a light on the world of money for families and empower parents to raise financially-smart kids. Millions of parents and kids use Greenlight to earn, save, spend wisely, give and invest. Parents can set flexible spend controls, manage chores, automate allowances and invest for their kids’ futures. The Greenlight team calls Atlanta home, but we have team members across the country. We’re pet enthusiasts, PTA presidents, fantasy football champs, kickball-mates and volunteer dance teachers. We’re backed by Drive Capital, JP Morgan Chase, Wells Fargo, TTV Capital, Relay Ventures, NEA, Amazon, Ally Financial, SunTrust Bank and Synchrony Financial. We were picked for CB Insights’ Fintech 250.
