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Data Engineer Gcp Data Engineer Jobs in Naperville, IL

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

GCP/Azure acceptable). * Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices. * Exposure to AI/ML or Generative AI/LLM-driven solutions.

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Experience with cloud hyperscaler platforms including AWS, Azure, or GCP. * Experience with modern ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Experience with cloud hyperscaler platforms including AWS, Azure, or GCP. * Experience with modern ...

Bespoke Labs

Data Engineer

Joliet, IL · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services. * Develop and support data ingestion ...

Ulta Beauty

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services. * Develop and support data ingestion ...

Bespoke Labs

Data Engineer

Aurora, IL · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services. * Develop and support data ingestion ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

... Data Engineer - Cloud position include: * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and ...

Virtusa Corporation

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location Chicago, US Office Years of Experience 5-7 Years Job Summary We are seeking a skilled Data Engineer with a strong background in Relational Database Management Systems (RDBMS ...

Covista

Data Engineer

Lisle, IL · Hybrid

$74K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently ... Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Development, Cloud Engineering & DevOps Cloud Platform: AWS (Compute, Storage, Networking, IAM and related cloud resources) Data Engineering Skills: Python, PySpark, SQL, Prefect ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

  • Medical

  • PTO

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and ... Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

  • Medical

  • PTO

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and ... Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

K1X

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

  • Medical

  • Retirement

  • PTO

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

Roadrunner

Data Engineer

Downers Grove, IL

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

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Showing results 21-40

All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Naperville, IL

Data Engineer Gcp Data Engineer information

See Naperville, IL salary details

$44.4K

$129.5K

$177.2K

How much do data engineer gcp data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer gcp data engineer in Naperville, IL is $129,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

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Data Engineer

Excel Sports Management

Chicago, IL

$100K - $115K/yr

Full-time

Re-posted 2 days ago

Job description

Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve.

Excel Sports Management is an Equal Opportunity Employer (EOE).

Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This is a hands-on role for an early-career engineer who takes pride in building things the right way—with testing, data quality, and reliability built in from the start, not bolted on later. You will work alongside senior engineers and analysts to ingest, transform, and deliver trustworthy data across the business. This role will be based out of the Excel Chicago office.

Role & Responsibilities:

  • Build, maintain, and optimize data pipelines that reliably ingest, transform, and export data from internal and external sources.
  • Write and maintain automated tests—unit, integration, and data-quality checks—to ensure pipelines and datasets are correct, complete, and trustworthy.
  • Develop Python-based data workflows and orchestration tasks following established team patterns.
  • Contribute to relational data design—tables and relationships, primary/foreign keys, and appropriate indexing—and deliver schema changes as version-controlled migrations.
  • Support the data lake and warehouse layer (S3, Athena/Glue, PostgreSQL/Aurora), helping keep schemas, models, and documentation accurate.
  • Contribute to CI/CD pipelines and containerized (Docker) workflows, ensuring changes are tested and deployed safely.
  • Investigate and resolve data and pipeline issues, and help improve monitoring so problems are caught early.
  • Provide production support for data pipelines during standard working hours.
  • Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean, documented solutions.

Education and Experience:

  • A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience.
  • 2+ years of professional experience in data engineering, software engineering, or a closely related role.

Required Qualifications:

  • Proficiency in Python and SQL, with hands-on experience building or maintaining data pipelines.
  • Demonstrated commitment to testing—writing unit and integration tests and validating data quality (e.g., pytest, schema/row-level checks, or similar).
  • Experience with OLTP (row-oriented) databases (PostgreSQL, MySQL, or equivalent).
  • Experience with OLAP (columnar) databases (Clickhouse, Redshift or equivalent).
  • Solid grasp of data modeling, indexing, and schema migrations.
  • Working knowledge of cloud environments (AWS preferred; GCP/Azure acceptable).
  • Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.
  • Exposure to AI/ML or Generative AI/LLM-driven solutions.
  • Awareness of data security, access controls, and observability/monitoring practices.
  • Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment.

Knowledge, Skills and Abilities:

  • Experience with Apache Airflow or other workflow orchestration tools.
  • Familiarity with Terraform or Infrastructure-as-Code.
  • Familiarity with event-driven or serverless architectures (e.g., S3/SQS-triggered pipelines, Lambda).
  • Experience building APIs or services to expose data (FastAPI, Flask, or similar).
  • Experience with BI tools (Power BI, Tableau).
  • Experience working in the sports industry and/or the agency world.
  • Strong interest in sports and sports analytics.
  • Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);

The pay range for this position is: $100,000 per year - $115,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.

This position is not eligible for sponsorship.

Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.