Data Engineer (Lead-level)

Mission Lane is revolutionizing access to credit to pave a clear way forward for millions of Americans on the path to financial success. By attracting top-tier talent and leveraging cutting-edge technology, we’re redefining consumer credit for the better. Sound like a mission you can get behind?

About the Team:

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.

About the Role:

We are seeking a highly skilled and experienced lead for our Data Engineering team to play a key role in shaping the future of our data platform. You will be a technical leader, responsible for designing, developing, and maintaining complex data pipelines, driving best practices in software engineering, and mentoring other engineers. You will work closely with stakeholders across the company, including software engineers, data scientists, and business analysts, to ensure that our data infrastructure meets their evolving needs. This is an opportunity to make a significant impact on a growing team in a company with a strongly data-driven culture.

The impact you’ll make:

• Technical Leadership:
• Design, develop, and maintain complex, high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP.
• Lead the effort 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.
• Drive the adoption of data observability 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.
• Collaboration & Mentorship:
• Mentor and guide other data engineers, providing technical expertise and fostering a culture of continuous learning.
• Collaborate effectively with software engineering teams to define data ownership, 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.
• Operational Excellence:
• 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.

You will thrive in this role if you have:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering.
• Expert-level SQL skills.
• Strong Python programming skills.
• Strong understanding of software engineering principles and best practices (e.g., version control, testing, CI/CD).
• Extensive experience with data warehousing technologies, preferably Snowflake.
• Experience with dbt (Data Build Tool).
• 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. 
• Experience with data observability and monitoring tools.
• Excellent communication, collaboration, and problem-solving skills.

You will get bonus points for:

• Experience with data governance and data quality frameworks.
• Experience with data modeling techniques.
• Experience with Airflow.
• Experience with infrastructure-as-code tools (e.g., Terraform, Kubernetes Config Connector).
• Experience with Montecarlo or similar data observability platforms.

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Compensation

Base Salary:  $159,000 - $174,400 USD

Additional compensation in the form(s) of participation in our annual incentive program and equity are dependent on role.  Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.

About Mission Lane:

Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. 

It all started with a realization:  nearly fifty percent of the adult population in the U.S. doesn’t have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn’t do.

In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit.

To date, over three million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. 

Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors.

Interested in learning more? Check out The Mission Lane Junction for articles on culture, credit, and community, and The Mission Lane Newsroom for media mentions.

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At Mission Lane, we’re committed to a workplace built on respect and dignity, where everyone has the opportunity to contribute. We believe diversity in all forms makes us stronger, and we intentionally foster an inclusive environment where employees feel valued, respected, and free to be their true selves. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other protected status.

Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law.  Applicants can initiate an accommodation request by contacting peopleops@missionlane.com.

Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.

Each Laner is responsible for keeping Mission Lane informed of their primary work location within the United States. Changes to a Laner's work location may result in changes to certain benefits based on local policies and requirements. If a Laner desires to move to an approved state within the US, we ask that they notify People Operations at least 30 days prior to moving.