Data Solutions Engineer

Publicis Groupe Holdings B.V; Chicago (IL); On-site; USD 73,500 - 136,500; Full time

Benefits offered by this job

Flexible time off

401(k)

Tuition assistance

Comprehensive health coverage

Job summary

Publicis Groupe Holdings B.V in Chicago, IL, seeks a skilled developer to design and implement scalable data solutions. The role involves hands-on coding in SQL and Python, collaborating with global teams to improve processes and automate deployments. Ideal candidates will have 3-6 years of experience, a relevant degree, and a passion for big data technologies. Benefits include flexible time off, comprehensive health coverage, and 401(k) options.

Qualifications

• 3-6 years professional experience manipulating data.
• Strong experience in SQL and Python.
• Ability to troubleshoot production issues.

Responsibilities

• Build and maintain data solutions for large data volumes.
• Design and implement scalable data solutions.
• Lead development of solutions in Spark.

Skills

SQL

Python

Scala

Java

Data Warehousing

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

Kafka

Spark

Hadoop

AWS

Docker

Kubernetes

Databricks

Job description

Overview

This role will be hands on in code development to drive solutions to delivery by effectively engaging with team members across the globe. The person in this role must be proficient in SQL and Python, as you will work both independently to meet required specifications of solution delivery and with business users to ingest new complex data quality use cases. In both cases the output work product will be incorporated into production environments, so the ideal candidate stepping into the role will also be a key contributor in delivering critical business features with a passion for big data technologies.

Responsibilities

• Build and maintain data solutions collecting and warehousing hundreds of terabytes of data per day.
• Influence technical decisions.
• Keep yourself informed and up to date with technologies.
• Build data expertise on subject matter and be able to speak to data warehouse constructs and data architecture.
• Design and code solutions in both on‑premises and cloud environments.
• Work closely with Engineering and Business resources across the globe to ensure delivery of efficient, cost‑effective solutions.
• Design and implement scalable data solutions within a CI/CD environment, supporting migration from a complex on‑premises ecosystem—including Kafka, Hadoop, HDFS, Spark, and multiple MPP GreenPlum databases—to a modern, cloud‑based architecture leveraging Databricks.
• Continuously improve processes optimizing for speed and cost savings while scaling for increasing data volumes.
• Lead development of solutions in Spark (Scala and Python), cross‑team communication, testing and release deployment.
• Manage deployments to Kubernetes clusters using ArgoCD for GitOps‑based delivery and Strimzi for Kafka operations.

Qualifications

• Able to do your best work in a team setting and autonomously.
• Well‑developed interpersonal skills.
• Owns a problem to the end.
• Proud to share in team’s success.
• Wants to grow a career with a great company.

Who You Are

What you’ll bring with you:

• Bachelor’s Degree in Computer Science or equivalent degree is required.
• Around 3‑6 years’ professional experience on a development team manipulating data.
• Fluent SQL with ability to ingest complex use cases, refactor and ask questions.
• Strong experience in Python or other languages (JAVA or Scala).
• Ability to troubleshoot production issues and solve for performance bottlenecks.
• Ability to analyze processes and identify improvements and optimizations.
• Excellent communication skills and ability to work with the internal analyst community.
• Ability to thrive in a collaborative team environment and handle complex products.
• You enjoy working with numerous programming languages, relational databases, and distributed systems. Our platform includes Kafka, Spark, Scala, Java, Python, MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, and Kubernetes.

Why you might stand out from other talent:

• Internet/Digital Advertising ecosystem knowledge is a plus.
• Cloud development experience is a plus.
• Databricks experience is a plus.

Benefits

• Flexible time off (FTO), 15 paid holidays.
• Paid sick time.
• Parental/new child leave, childcare & elder care assistance, adoption assistance.
• Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling.

Salary

Base Salary: $73,500.00 - $136,500.00

Actual compensation within the range will be dependent upon, but not limited to, the individual’s skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.

Equal Opportunity Employer

Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process.