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Trainee Data Engineer Python Jobs in Chicago, IL

DATA ENGINEER

Chicago, IL · On-site

$77K - $128K/yr

The Data Engineer is responsible for building and maintaining the data infrastructure that powers ... Automate repetitive data workflows using Power Automate, Python, or similar tools to reduce manual ...

GCP Data Engineer

Chicago, IL

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location ... Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows. * Ensure ...

New

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Title: Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is ... Required Job Qualifications: • At least 4 years experience with python development and database ...

DATA ENGINEER

Chicago, IL

$118K - $141K/yr

The Data Engineer is responsible for building and maintaining the data infrastructure that powers ... Automate repetitive data workflows using Power Automate, Python, or similar tools to reduce manual ...

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Responsibilities : • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) • Support the ...

Senior Python Developer

Chicago, IL · On-site

$125K - $168K/yr

Overview: Senior Python Developer Role Overview We seek a seasoned Senior Python Developer with ... Azure certifications (e.g., Azure Data Engineer, Azure Developer). * Experience with PySpark ...

Data Engineer

Bridgeview, IL

$116K - $140K/yr

The Data Engineer is a core technical leader within the data team, responsible for the design ... Expert-level SQL skills and strong proficiency with Python or similar scripting languages.

Data Engineer

Bridgeview, IL · On-site

$116K - $140K/yr

The Data Engineer is a core technical leader within the data team, responsible for the design ... Expert-level SQL skills and strong proficiency with Python or similar scripting languages.

The ideal candidate has strong experience in data quality engineering, Python and SQL, and building automated validation frameworks using tools such as Great Expectations. Experience leveraging AI ...

Data Engineer

Mundelein, IL · On-site

$150K - $175K/yr

Data Engineer Location: San Francisco, CA or New York, NY Work Model: Onsite Compensation: $150,000 ... Strong proficiency in SQL and Python for data transformation, analysis, and automation * Experience ...

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

SPARK with Scala or Python Secondary / Optional Skills : AWS, UNIX & SQL Looking for an experienced Senior Big Data Developer who will be responsible for, * Technical leadership in driving solutions ...

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Trainee Data Engineer Python information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do trainee data engineer python jobs pay per year?

As of Jun 6, 2026, the average yearly pay for trainee data engineer python in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Data Engineer Python vs Data Analyst?

AspectTrainee Data Engineer PythonData Analyst
Required SkillsPython, SQL, basic data engineering conceptsExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness units, reporting teams
CertificationsPython certifications, data engineering coursesExcel, Tableau, Power BI certifications
Industry UsageBuilding data pipelines, ETL processesData analysis, reporting, insights

While both roles involve working with data, a Trainee Data Engineer Python focuses on developing data pipelines and infrastructure using Python, whereas a Data Analyst primarily interprets data to generate reports and insights. The former requires programming skills and knowledge of data engineering tools, while the latter emphasizes data visualization and business understanding.

What are the most commonly searched types of Data Engineer Python jobs in Chicago, IL? The most popular types of Data Engineer Python jobs in Chicago, IL are:
What are popular job titles related to Trainee Data Engineer Python jobs in Chicago, IL? For Trainee Data Engineer Python jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Trainee Data Engineer Python jobs in Chicago, IL look for? The top searched job categories for Trainee Data Engineer Python jobs in Chicago, IL are:

$77K - $128K/yr

Full-time

Posted 2 hours ago


Job description

Position Summary
Relocation assistance is not provided.
The Data Engineer is responsible for building and maintaining the data infrastructure that powers financial reporting, analytics, and operational decision-making across the Lindsay Family of Brands. This role supports the full lifecycle from data pipeline to finished report - designing reliable integrations, transforming raw data into clean, structured models, and delivering operational dashboards and reports that give leadership and teams across Lindsay Precast, Lindsay Renewables, and Dutchland the visibility they need to run the business.
Key Responsibilities
  • Design, build, and maintain scalable data pipelines that move and transform data across ERP, operational, and reporting systems
  • Develop and maintain integrations between key platforms (ERP, Power BI, SharePoint, Microsoft 365, and third-party tools)
  • Partner with finance and operations stakeholders to understand reporting needs and translate them into durable data solutions
  • Build and maintain data models and semantic layers that support self-service analytics and Power BI reporting
  • Design, develop, and maintain operational reports and dashboards that surface key metrics for finance and operations leadership across all divisions
  • Automate repetitive data workflows using Power Automate, Python, or similar tools to reduce manual effort across the business
  • Support the evaluation and implementation of new data tools and platforms as the team's data infrastructure evolves
  • Collaborate with the Business Systems Analysts to align data architecture with ERP workflows and business processes
  • Monitor pipeline health and proactively address failures, latency issues, or data anomalies before they impact the business
Success Metrics
  • Reliability and freshness of data pipelines feeding operational and financial reports
  • Reduction in manual data handling and spreadsheet-based workarounds across divisions
  • Data quality and consistency across key reporting areas (financials, production, inventory)
  • Stakeholder satisfaction with operational reports, dashboards, and self-service reporting capabilities

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
  • 3-5+ years of experience in data engineering, ETL development, or a closely related role
  • Strong proficiency in SQL; experience with Python or similar scripting languages for data transformation and automation
  • Experience working with Microsoft 365 ecosystem tools, including Power Automate, Power BI, and SharePoint
  • Familiarity with relational databases and data warehouse concepts; experience with cloud data platforms a plus
  • Strong attention to detail and a practical, solutions-oriented approach to data problems
  • Ability to communicate technical concepts clearly to non-technical stakeholders across finance, operations, and leadership