Data Engineer at Mission Lane

, , United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

130000.0

Posted On

24 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Warehousing, ETL, ELT, GCP, Snowflake, dbt, Data Quality, Data Governance, CI/CD, Collaboration, Problem-Solving, Analytical Skills, Software Engineering, Infrastructure-as-Code

Industry

Financial Services

Description

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? 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 an experienced Data Engineer to join our team and work with us on developing, and maintaining data pipelines, driving best practices in software engineering. 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 join a high functioning Data Engineering team, with a focus on engineering standards in a company with a strongly data-driven culture. As a member of the team you will: Contribute to Technical Excellence: 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 with a wide range of partners: 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. Contribute to 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 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 You will get bonus points for: 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) Compensation Base Salary: $110,000 - $130,000 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 four 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. ***** Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member. Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, 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 peopleexperience@missionlane.com. Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.

Responsibilities

The Data Engineer will design, develop, and maintain high-performance data pipelines while collaborating with various stakeholders to ensure data infrastructure meets their needs. The role also involves troubleshooting data pipeline issues and contributing to operational excellence.