Data Engineer II

Early Warning; Chicago (IL); Hybrid; USD 83,000 - 124,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Paid holidays

Parental leave

Wellness program

Job summary

Early Warning, a trusted data and payments partner, seeks a Data Engineer to build and optimize data science tools and BI infrastructure. You will design data sources, develop dashboards with Tableau, and collaborate across functions to translate metrics into actionable insights.

You will work on ETL processes, data quality, and scalable data platforms while mentoring interns and aligning with risk-management requirements. Hybrid work model in the U.S.

Qualifications

• Education typically obtained through a Bachelor’s degree.
• 2-4 years of progressive work experience in PySpark/Python/Spark/Scala in a Linux environment for Data Engineering development.
• Understanding of Tableau Server and Tableau Dashboards.
• Demonstrated ability with testing, problem solving and analysis.
• Knowledge of dashboard development, reporting, data modeling, ETL and systems design.
• Experience with SQL/Spark Software and data engineering in Python ML toolkits (Python/R).
• Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3, optimizing/tuning queries, indexing, partitioning.
• Experience collaborating with internal engineering & technology teams in regulated environments; strong communication.
• Background check required.

Responsibilities

• Define requirements for reports and dashboards with business users.
• Design and develop backend data sources using Cloudera stack.
• Create complex Tableau dashboards and reports to support business processes.
• Conduct in-depth data analysis and causal analysis.
• Design ETL and data manipulations for analyses and reports.
• Research best practices and guide data platform decisions.
• Set standards for BI tools, structures, and attributes.
• Provide support and training to business teams as needed.
• Write data infrastructure and analytics software tools for Data Science.
• Mentor interns and guide Data Scientists on software engineering practices.
• Collaborate with analytics leadership and EW engineers on platform enhancements.
• Improve ETL and cluster computing; support risk management and data confidentiality.

Skills

PySpark

Python

Spark

Scala

Tableau Server

ETL/Data Modeling

SQL

Data Ingestion

Collaboration

Problem Solving

Education

Bachelor's degree

Tools

Hadoop

AWS S3

Hive/Impala

Linux

Job description

Company Overview

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. Early Warning follows 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 data science tools/infrastructure. The Data Engineer evaluates, designs, and develops business intelligence solutions across multiple technology stacks. They work closely across multiple business functions and technology partners to interpret metrics into information clarity that informs planning, measuring, trending and enhanced operational performance. They research technology best-practices, implement frameworks, and align BI directions with strategic business initiatives. Analyze metrics sources, monitor data quality, define logical inter-dependencies, develop datamarts and build comprehensive business process dashboards.

Essential Functions

• Work with business users to define new and existing requirements for reports and dashboards as well as identify gaps in data, logic, and business understanding
• Design and develop backend solutions for new data sources using Cloudera technology stack
• Using Tableau, create complex, visually appealing, and interactive dashboards/ scorecards/ reports to support business processes, including related trends, and projections
• Conduct in-depth data analysis to come up with logical results and perform cause and effect analysis based on the data available
• Design data ETL and manipulations to support production and ad-hoc analyses and reports
• Investigate industry best-practices and help guide strategic data platforms, tools, and processes
• Recommends standards, policies and procedures for the form, structure, and attributes of the BI tools and systems
• Provides support and training to business teams as necessary
• 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 - PySpark/Python/Spark/Scala in a Linux environment for Data Engineering development
• Understanding of Tableau Server and Tableau Dashboard
• Demonstrated ability with testing, problem solving and analysis
• Knowledge of the principle, practices and techniques of dashboard development, reporting, data modeling, ETL and systems design
• Experience working with SQL 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 PySpark experience
• Experience with Hive/Impala & Linux
• Fin-tech experience

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.

Pay & Benefits

The base pay scale for this position in: Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $83,000 - $124,000. New York, NY/ San Francisco, CA in USD per year is: $99,000 - $132,000. 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.

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!

EEO Statement

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

Accessibility

Early Warning Services® aims to make our recruitment process accessible to any and all users. If you have a disability or a special need that requires accommodation to navigate our website or complete the application process, please email [e-mail] for an assistance request.

EEO Supplemental

View supplemental EEO is the law poster Early Warning has developed and maintains a written AAP and upholds pay transparency nondiscrimination.

E-Verify

E-Verify 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.

Privacy Notice

Privacy Notice Effective: August 21, 2026 This privacy notice is intended to inform California residents of the personal information we collect, how it’s used and disclosed, and the rights you have in regard to such information. https://www.earlywarning.com/privacy-notice-employment-applicants