Data Engineer

Mission Lane

136d • $110,000 - $130,000

About The Position

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind? The Data Engineering team at Mission Lane is responsible for building and maintaining the analytical data infrastructure and ETL/Reverse ETL pipelines that move data in and out of our data warehouse. We are a team of 13 data engineers working in a highly collaborative environment. We are continually striving to elevate our engineering practices and are committed to building high-quality, reliable, and scalable data solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in data engineering.
• Strong analytical SQL skills.
• Strong Python skills.
• Understanding of software engineering principles and best practices (e.g., version control, testing, CI/CD).
• Experience with data warehousing technologies, preferably Snowflake.
• Experience with cloud platforms, preferably GCP (Google Cloud Platform), including services like Cloud Functions, and GCS.
• Experience designing and implementing reliable and resilient ETL/ELT pipelines.
• Excellent communication, collaboration, and problem-solving skills.

Nice To Haves

• Experience with our specific stack: Snowflake, dbt, Montecarlo, Airflow.
• Experience with data governance and data quality frameworks.
• Knowledge of data modeling principles.
• Experience with infrastructure-as-code tools (e.g., Terraform, Kubernetes Config Connector).

Responsibilities

• Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP.
• Engage in our efforts to advance code quality, test coverage, and maintainability of our data pipelines.
• Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation.
• Support the adoption of data quality tools and practices (e.g., data lineage, automated alerting).
• Research, evaluate, and recommend new technologies and tools to improve our data platform.
• Contribute to the data architecture and design of our data warehouse.
• Collaborate effectively with software engineering teams to define data structures, streamline ingestion processes, and ensure data consistency.
• Work closely with stakeholders (data scientists, analysts, business users) to understand their data needs and translate them into technical requirements.
• Partner with stakeholders to ensure that projects are well defined.
• Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability.
• Contribute to the development and maintenance of our CI/CD pipelines for data infrastructure.
• Participate in on-call rotation to support critical data pipelines.
• Identify and address inefficiencies in our data engineering processes.

Benefits

• Base Salary: $110,000 - $130,000 USD.
• Participation in our annual incentive program and equity.
• Unlimited paid time off.
• 401(k) match.
• Monthly wellness stipend.
• Health, dental, and vision insurance options.
• Disability coverage.
• Paid parental leave.
• Flexible spending account (for childcare and healthcare).
• Life insurance.
• Remote-friendly work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees