Analytics Data Engineer (Contract)

Posted 3 Days Ago
4 Locations
In-Office
Junior
Fintech
The Role
Responsible for building and modernizing data science tools and assets, writing analytics software, and guiding data scientists in best practices.
Summary Generated by Built In

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

Technical expert responsible for building and modernizing Data Science Tools and Data Assets.

Essential Functions

  • Write data infrastructure & analytics software tools for Data Science.
  • Guide Data Scientists on best practices in software engineering.
  • Modernize existing SAS and Hive SQL codebase to higher performance structures leveraging parallel computing capabilities
  • Instrument data feeds for observability, profiling, and monitoring
  • Develop shared resources to support Data Science work such as automated profiling and analysis tools
  • Write detailed, complete, and enduring documentation to enable long term support
  • Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data

Minimum Qualifications

  • Education and experience typically obtain through a Bachelor’s degree
  • Demonstrated experience:
    • Spark
    • Hive SQL
    • Software/data engineering in Python
    • Machine Learning toolkits in Python/Spark
    • Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
    • Relational databases, optimizing/tuning queries, indexing, partitioning, etc. 
    • SAS and the ability to convert from SAS to Python
  • Strong communication skills
  • Background and drug screen

Preferred Qualifications

  • Prior demonstrated experience 2-4 years
  • Scala/Java experience
  • Fin-tech experience

The above job description is not intended to be an all-inclusive list of duties and standards of the position.
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

Early Warning Services is an affirmative action and equal opportunity employer.

Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. 

Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.

Top Skills

AWS
Hadoop
Hive Sql
Java
Machine Learning
Python
S3
SAS
Scala
Spark
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The Company
HQ: Scottsdale, AZ
1,001 Employees
Year Founded: 1990

What We Do

For almost 3 decades, our identity, authentication and payment solutions have empowered financial institutions to make decisions, make payments & prevent fraud.

Early Warning has been a leader in technology that helps protect and advance the financial system. We serve a diverse network of approximately 2,500 financial institutions, government entities and payment companies. Our product solutions enable real-time funds availability for a variety of payment types through our payments network.

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