Sr Data Engineer, Data FeedsApply locations: San Francisco, CA
Time type: Full time
Posted on: Posted 3 Days Ago
Job requisition id: R0006850
Current Employees of LendingClub: Please apply via your internal Workday Account LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!
About the RoleOur mission at LendingClub is to empower those who strive to achieve better financial health. The Data Feeds team plays a crucial role in achieving our mission.
We are seeking a Sr Data Engineer for our Data Feeds team to provide batch data processing, real-time streaming, and pipeline orchestration capabilities. You'll be part of the Data Technology organization that helps drive business decisions using data. You will have the opportunity to use your expertise in solving big data problems, design thinking, coding, and analytical skills to build data pipelines and data products and leverage our PB scale data. Our business is data-driven, and you will build solutions to help the company in the areas of marketing, pricing, credit, funding, investing, and many other business aspects, which is transforming the banking industry. We're looking for talented Data Engineers passionate about building new data-driven solutions with the latest Big Data technology.
What You'll DoCreate and maintain optimal data pipeline architecture.Build data pipelines that transform raw, unstructured data into formats that data analysts can use for analysis.Assemble large, complex data sets that meet functional/non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS Big Data technologies.Work with stakeholders including the Executive, Product, Engineering, and program teams to assist with data-related technical issues and support their data infrastructure needs.Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using scalable distributed data technologies.Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document work.Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.About You6+ years of solid production quality coding experience in data pipeline implementation in Java, Scala, and Python.Bachelor's degree in computer science, Informatics, Information Systems, or a related field; or equivalent work experience.In-depth working experience of distributed systems: Hadoop/MapReduce, Spark, Hive, Kafka, and Oozie/Airflow.Experience with AWS cloud services: EC2, EMR, RDS.Experience in GIT, JIRA, Jenkins, Shell scripting.Experience with Snowflake and Salesforce Marketing Cloud.Experience building Marketing Data pipelines including Direct Mail will be a big plus.Familiar with Agile methodology, test-driven development, source control management, and test automation.Experience supporting and working with cross-functional teams in a dynamic environment.You're passionate about data and building efficient data pipelines.You have excellent listening skills and are empathetic to others.You believe in simple and elegant solutions and give paramount importance to quality.You have a track record of building fast, reliable, and high-quality data pipelines.Nice to have skills: Working knowledge of open-source ML frameworks and end-to-end model development life cycle.Previous working experience with running containers (Docker/LXC) in a production environment using one of the container orchestration services (Kubernetes, AWS ECS, AWS EKS).Work Location
San Francisco
We are currently working a hybrid schedule and our teams are in-office Tuesdays, Wednesdays, and Thursdays.
Time Zone Requirements
Primarily PT
Travel Requirements
If you need to travel for work, LendingClub will cover your travel-related expenses.
Compensation
The target base salary range for this position is $175,000-$200,000. The position is also eligible to receive a bonus (which is based on company performance, employee performance, and eligible earnings), equity, and benefits. Our salary ranges, other compensation, and benefits offered are determined by role, experience level, and location.
We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental, and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave, and more.
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LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******.
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