Data engineer [h1.location_city]

Full-time

Description

LendKey Technologies Inc. is a pioneer in digital network lending dedicated to simplifying the lending process for both financial institutions and borrowers. With more than 15 years of experience LendKey has facilitated more than $7 billion in loans through hundreds of credit unions and community banks nationwide. Our mission is to empower local lenders with innovative reliable technology that upholds community values while enabling access to national markets.

We are looking for an enthusiastic data engineer to join our data engineering team in Cincinnati Ohio and help us build out our modern data platform using Databricks lakehouse architecture. Working alongside our lead and senior data engineers you will contribute to building a scalable secure and efficient data platform that serves the entire organization and our partners. This is an opportunity to be part of building and shaping a modern real-time data platform from the ground up.

Please note : This position is based at our corporate offices in Cincinnati Ohio. Qualified candidates must be available to attend on-site interviews. Remote work and relocation assistance are not available for this role.

What youll do :

• Maintain and support the Databricks platform including managing access controls permissions and security mechanisms to protect private and PII data
• Build out and optimize the lakehouse medallion architecture (bronze silver and gold layers) to support various analytics and reporting needs
• Design develop and maintain data ingestion pipelines from various source systems using MySQL Lakeflow API calls and other integration methods including file ingestion
• Work with lead and senior data engineers to design data architecture solutions and execute implementation stories
• Contribute to the development of data governance policies including data normalization anonymization and chain of custody
• Design manage and support ETL / ELT processes with ongoing data quality checks and testing
• Identify gaps and opportunities in data infrastructure and contribute to building appropriate solutions
• Partner with the product and engineering teams to develop scalable extensible data systems
• Work with end users and power users across the organization to translate business questions and requirements into appropriate data structures
• Monitor and troubleshoot system performance reliability availability and recoverability of data across the Databricks platform
• Assist in migration efforts from legacy platforms to the Databricks lakehouse

Requirements

Culture Fit :

Strong desire to work for a mission-based organization that emphasizes the importance of providing exceptional customer service and is aligned with our core values : Truthful at all times; Helpful to teammates clients and customers; Present committed & engaged to their teams and work; Driven to be courageous to make an impact; and Diligent & conscientious in executing every element of work.

Technical / Business Experience Required

Preferred Requirements

What We Do

LendKey offers a comprehensive digital platform for private student loans student loan refinancing and home improvement loans allowing community-based financial institutions to expand their portfolios and serve more borrowers without increasing infrastructure. Through our ALIRO platform lenders can efficiently participate in buy and sell loans streamlining portfolio diversification and capital deployment.

For financial institutions LendKey provides turnkey solutions that include :

For borrowers LendKey delivers :

LendKeys network lending model empowers both lenders and borrowers bridging the gap between local values and national reach.

LendKey is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status disability status or any other basis prohibited by applicable state or federal law. LendKey offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process due to a disability please let us know at Visit for more information.

The full-time base salary range for this role in the United States is between $100K- $130K bonus equity benefits. Please note that the base salary range is a guideline and individual total compensation will vary based on factors such as market job location job-related knowledge skills and experience as evaluated throughout the interview process. Your recruiter can share more about the specific pay range for your location during the hiring process

Required Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 100 - 130