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Trainee Data Engineer Python Jobs in Illinois (NOW HIRING)

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment ... Proficiency in Python and SQL. Experience building and maintaining ETL/ELT pipelines and data ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics ... Expert proficiency in Python, C++, Java, R, and SQL. * Familiarity with Hadoop or suitable ...

Data Engineer

Chicago, IL · Remote

$99K - $150K/yr

Python (Programming Language) * SQL (Programming Language) * Extract Transform Load (ETL) * Data Pipelines - Preferred * Computer Science * Apache Spark * Data Warehousing * Amazon Web Services

New

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Chicago IL Jobs, Data Engineer Trading, Python, Linux, MS SQL Server, SQL Query Writing, Stored ... Procedures, Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading ...

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Senior Data Engineer (ETL / Python Developer) Remote (Must reside within the Continental U.S.) No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only. We are ...

GCP Data Engineer

Chicago, IL · On-site

$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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming ... Responsibilities : • Design and build scalable data pipelines using Python, PySpark, SQL, and ...

Data Engineer

Chicago, IL · On-site +1

$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 · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... Responsibilities : • Design and build scalable data pipelines using Python, PySpark, SQL, and ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... Responsibilities : • Design and build scalable data pipelines using Python, PySpark, SQL, and ...

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Develop Python-based data workflows and orchestration tasks following established team patterns ... Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean ...

Data Engineer

Chicago, IL · On-site

$140K - $150K/yr

Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub ... Strong collaboration skills with non-engineers, including analysts, data scientists, and business ...

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/yr

Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub ... Strong collaboration skills with non-engineers, including analysts, data scientists, and business ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate

Showing results 21-40

Trainee Data Engineer Python information

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 Illinois?

The most popular types of Data Engineer Python jobs in Illinois are:

What are popular job titles related to Trainee Data Engineer Python jobs in Illinois?

For Trainee Data Engineer Python jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Trainee Data Engineer Python jobs in Illinois look for?

The top searched job categories for Trainee Data Engineer Python jobs in Illinois are:

What cities in Illinois are hiring for Trainee Data Engineer Python jobs?

Cities in Illinois with the most Trainee Data Engineer Python job openings:

$35 - $38/hr

Full-time

Posted 7 days ago


Job description

Data Engineer – PySpark, Databricks & AWS Redshift
Location: Chicago, IL (locals Only)
Employment Type: W2 Contract


Job Description
We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a solid background in designing, building, and optimizing scalable data pipelines and data processing solutions in cloud-based environments.


Requirements
Required Qualifications
Atleast 7 plus years of Strong professional experience as a Data Engineer working with large-scale data platforms.
Extensive hands-on experience with PySpark.
Strong experience with Databricks, including developing and optimizing production data pipelines.
Strong hands-on experience with AWS Redshift.
Proficiency in Python and SQL.
Experience building and maintaining ETL/ELT pipelines and data processing workflows.
Strong understanding of data warehousing, data modeling, and distributed data processing concepts.
Experience working with cloud-based data platforms, preferably AWS.
Strong troubleshooting, performance-tuning, and problem-solving skills.
Prior experience within e-commerce, airlines, transportation, or logistics environments is highly desirable.