Job details
Salary $180,000 - $200,000 a year job type full-time
Qualifications
Us work authorization (required)
Python: 5 years (preferred)
Data warehouse: 3 years (preferred)
Aws: 3 years (preferred)
Benefits pulled from the full job description
401(k) 401(k) matching dental insurance health insurance paid time off vision insurance
Full job description
Senior data engineer (analytics)
Fintech: credit and lending
Fully remote, w2
$180,000 - $200,000 + equity + bonus
If you are an experienced data engineer looking for an opportunity to lead in a data-driven, credit lending visibility saas platform – this is an opportunity to be a team leader with a focus on innovation.
The company:
This company partners with major consumer credit lenders, banks, and nontraditional credit lenders to help them determine the risk factors and performance of their product lines through analyticsInvestors among other consumers can rest easy having a more user-friendly visualization tool that will allow them to better understand what is financially feasible for their companies to offer and update their processes through projected scenarios and feedback loopsWith this, they want a senior data engineer who will be able to help centralize their data stream to cut down on runtimes and provide more efficient solutions for its customers.
The role:
Managing foundational data processing and data storage
Building and maintaining scalable pipelines for third-party data ingestion
Gauge integrity and usability of data for external and internal stakeholders and seamless dashboard building
Determining best practices for data observability and orchestration to allow for automatability when sought for
Foster a culture of learning for engineers on your team to increase productivity and development
Provide improvements in reports performance and propose new ideas
Your skills and experience:
The successful senior data engineer will likely have the following skills and experience:
Proven commercial experience in python and aws
Commercial experience as a data engineer
Designing, creating, and maintaining etl data pipelines
Proficiency in batch and streaming data applications (spark, hadoop, kinesis, flink, kafka)
Organizational urgency in troubleshooting and protecting data integrity
Ability to demonstrate architectural and best practice choices to senior leadership
Preferred:
Commercial experience at an investment firm or fintech company
Familiarity with tableau and consumer credit
The benefits:
Up to a $200,000 base + 10% equity + 10% bonus
Standard benefits (401k, pto, health insurance, etc.)
Apply Now:
Please register your interest by sending your resume to shawn glabach via the apply link on this page.
Reach out and connect with me: https://www.linkedin.com/in/shawn-glabach/
Keywords:
Data engineer, etl, mortgage, credit lending, securities, secondary market, investment, python, airflow, scala, postgres, aws, redshift, s3, mongodb, spark, hadoop, kafka, flink, real-time streaming, batch
Job type: full-time
Pay: $180,000.00 - $200,000.00 per year
Benefits:
401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Vision insurance
Schedule:
10 hour shift
8 hour shift
Day shift
Monday to friday
Supplemental pay:
Bonus pay
Application question(s):
Do you now or in the future require sponsorship for a position?
Experience:
Python: 5 years (preferred)
Data warehouse: 3 years (preferred)
Aws: 3 years (preferred)
Work location: remote
Hiring insights
Hiring 1 candidate for this role
Job activity
Employer reviewed job 3 days ago
Posted 21 days ago
