Early Warning Services

Data Engineer II - Zelle

Early Warning Services$116K — $149K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience.
  • 2-4 years in Spark, Python software/data engineering.
  • Experience with Machine Learning toolkits in Python/R.
  • Proficient in building frameworks for data ingestion/storage in Hadoop or AWS/S3.
  • Skilled in relational databases and tuning queries.
  • Collaborative experience in a regulated enterprise environment.
  • Strong verbal and written communication skills.

Responsibilities

  • Develop data infrastructure and analytics software tools for Data Science.
  • Mentor and train interns in software engineering practices.
  • Advise Data Scientists on software development best practices.
  • Collaborate on architectural and software enhancements with analytics and engineering teams.
  • Work with Data Science leadership to enhance ETL processes and cluster computing.
  • Support risk management and safeguard data and system integrity.

Benefits

  • Comprehensive healthcare coverage including medical, dental, and vision plans.
  • 401(k) plan with a 100% Company Safe Harbor Match on contributions.
  • Flexible Time Off policy for exempt employees and generous PTO for hourly staff.
  • 12 weeks of paid parental leave.
  • Support for family planning through Maven, covering various parenting needs.
Full Job Description
Overall Purpose

Technical expert responsible for building data science tools/infrastructure.

Essential Functions

  • Write data infrastructure & analytics software tools for Data Science.
  • Mentor and train interns.
  • Guide Data Scientists on best practices in software engineering.
  • Collaborate with analytics leadership and engineers from other parts of EW on architectural and software enhancements to the Data Science platform.
  • Collaborate with Data Science leadership on improving ETL and cluster computing.
  • 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
  • Typically has 2-4 years of demonstrated progressive work experience in the following areas
    • Spark
    • Software/data engineering in Python
    • Machine Learning toolkits in Python/R
    • Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
    • Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
  • Experience collaborating with internal engineering & technology teams within a company on building data infrastructure in a regulated, enterprise environment;
  • 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.

The base pay scale for this position in:
Phoenix, AZ/ Chicago, IL in USD per year is: $97,000 - $124,000.

New York, NY/ San Francisco, CA in USD per year is: $116,000 - $149,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Some of the Ways We Prioritize Your Health and Happiness

  • Healthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
  • 401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
  • Paid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.


And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About Early Warning Services

Early Warning Services is a financial services company that provides fraud prevention and risk management solutions to banks, credit unions, and other financial institutions. The company was founded in 1990 and is headquartered in Scottsdale, Arizona. Early Warning Services offers a variety of products and services, including identity verification, account verification, and payment authentication. The company's solutions are designed to help financial institutions reduce fraud and improve the customer experience.
Learn more about Early Warning Services
Size
1,000 employees
Industry

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