Data Engineer, Mission Lane
$110-130k
Providing access to fair and clean credit
Be an early applicant
Providing access to fair and clean credit
201-500 employees
Be an early applicant
$110-130k
201-500 employees
Company mission
To revolutionize access to financial tools in credit, debit, and beyond to pave a clear way forwards for millions of Americans.
Role
Who you are
- 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
Desirable
- 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)
What the job involves
- 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
- 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
- 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
Our take
The world of credit can be a murky place, however, companies such as Mission Lane are being established to bring clarity to the industry. The fintech company aims to help people with low credit build their scores and improve their financial lives – this comprises an estimated 100 million people in the US.
Originally a spinoff from the fintech company LendUp, Mission Lane fits a similar mold to larger credit cards startups such as Petal, Tally, and Brex. It uses advanced technology and machine learning to expand credit access.
Despite the global pandemic providing an uncertain backdrop, Mission Lane saw more than 100% revenue growth in its early years. More recently, it strengthened its position in the market by expanding its partnership with Plaid, working together to offer additional connected solutions to underbanked customers. With these developments, Mission Lane remains well-positioned to drive financial inclusion and support for underserved communities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
43% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2022
$150m
LATE VC
Oct 2021
$150m
LATE VC
Total funding: $707.2m
Company benefits
- Work: Join an engaging culture with access to training programs and advancement opportunities
- Life: Get full health, dental, and vision benefits, FSA, paid parental leave, and 401k Company Match
- Balance: Enjoy generous PTO, flexible schedules, a Calm App subscription, and more
Company HQ
Gravel Hill, Richmond, VA
Leadership
Brandon Black
(CEO)Prior to Mission Lane, there worked at Encore Capital Group for over 15 years, while there they served as the COO, President, and CEO. The also served as the Vice President of Risk Operations at Capital One Financial Services for 2 years.
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