A Day in the Life

The Staff Data Engineer will be responsible for driving architectural design, improving platform features, and serving as a strategist in key design and architecture initiatives. They will display a broad knowledge in cloud and deep knowledge in data engineering. As part of a small team of highly skilled data engineers, they will have significant responsibility in crafting, developing, and maintaining Lendistry’s large-scale ETL pipelines, storage, and processing services.

The Staff Data Engineer should have strong experience with data infrastructure, data architecture, ETL, SQL, automation, data frameworks, and processes to rapidly integrate disconnected and disparate data sources into automated datasets for analyst's consumption. The individual will also have a proven track record working with enterprise metrics, strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, strong project management skills, and a vision for how to deliver data products. Some travel may be required.

Lendistry: Who We Are

We’re proud to be the nation’s largest minority-led, tech-savvy lender for small businesses and commercial real estate. As a certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), our mission is all about creating economic opportunities and fueling growth for small business owners and their communities. Join us as we pave the way with innovative financing and financial education!

What You’ll Be Doing

Design, develop and maintain a highly scalable multi-tenant data warehouse supporting high volume & variety of data.
Lead the integration of a wide range of streaming and batch data sources in the warehouse using open source and AWS services.
Build infrastructure that supports a consistent, repeatable automated ML (Machine Learning) model journey through dev, test, and production.
Be the subject matter expert for data, pipeline design, and other related big data and programming technologies.
Proactively identify reliability & data quality problems and drive triaging and remediation process.
Evaluate various technologies and platforms in open source and proprietary products. Execute proof of concept on recent technology and tools to pick the best tools and solutions.
Work together with the application team to deliver reliable change data capture in a streaming fashion.

Your Areas of Knowledge and Expertise

S/M.S. in Computer Sciences or equivalent field, with 8+ years total experience
2+ years of relevant experience with Cloud Warehouses and AWS.
Solid understanding of OLAP/OLTP and data lake concepts and distributed data processing patterns.
Expertise in programming pipelines in SQL and Python. Experience with Pandas, NumPy, PySpark libraries as well as Java experience is a strong plus.
Expertise in cloud warehouses such as Redshift and Snowflake
Hands-on experience with AWS technology such as Glue, Lambda, S3, Kinesis, API Gateway (3+ years)
Experience in automating and orchestrating data pipelines using open-source software such as Airflow and Terraform.
Experience with version control systems (GitHub, BitBucket, etc.) and CI/CD tools.
Proven record of accomplishment in building products on some production-grade systems.
Passionate, curious, self-starter and innovative mentality.

Why You'll Love Working Here:

Comprehensive Medical, Dental, and Vision Insurance
Generous Paid Time Off
Birthday Day Off
12 Paid Company Holidays
401(k) Match
FSA and HSA
Paid Life Insurance
Paid Disability Insurance
Pet Insurance
Employee Assistance Program (EAP)
Professional Development Courses
In Office Provided Snacks and Drinks
Gym Facilities (LA & Tustin/CEC Offices)
In Office Engagement Activities

COMPENSATION RANGE

The US base salary range for this full-time position is $134,000-$167,000 annually.

Our salary ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position. Within the range, individual pay is determined by multiple factors like job-related skills, experience, and state of residence. Your recruiter can share more about the specific salary range during the interview process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

PHYSICAL REQUIREMENTS

This is a stationary position that requires frequent sitting (approximately 95%), repetitive wrist motions, grasping, speaking, listening, close vision, and the ability to adjust focus. It also may require occasional standing, lifting, carrying of 20lbs or less, walking, kneeling, bending/stooping, twisting, pulling/pushing, and reaching above the shoulder. Employees in this position must be physically able to efficiently perform the essential functions of the position.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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Staff Data Engineer

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