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Sql Python Data Engineer Jobs in Carol Stream, IL

Data Engineer

Romeoville, IL · Hybrid

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... e.g., SQL, Python, Fabric Data Lake, KQL) * Support ML workflows by helping produce curated ...

Data Engineer III

Chicago, IL · On-site

$118K - $141K/yr

Develop and optimize advanced SQL, Python, and Spark solutions for data processing. * Build and ... Mentor junior engineers and contribute to engineering best practices. What Would Make You Stand Out:

Data Engineer III

Chicago, IL · On-site

$118K - $141K/yr

Develop and optimize advanced SQL, Python, and Spark solutions for data processing. * Build and ... Mentor junior engineers and contribute to engineering best practices. What Would Make You Stand Out:

Utilize Python and SQL to reduce manual processing and improve system performance. Full-Stack ... Manage the integration of diverse platforms to ensure seamless data flow and functionality.

Lead Data Engineer, (Python, AWS)

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer, (Python, AWS) Do you love building and pioneering in the technology space? Do ... Python, SQL, Scala, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure ...

Data Engineer

Elk Grove Village, IL · On-site

$113K - $135K/yr

Provide indirect leadership, coaching, and code-review guidance to the SQL Developers on the data ... Scripting/programming experience (Python or similar) for automation and data transformation a plus.

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 ...

Data Engineer

Oak Brook, IL · On-site

$143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.

Description Our Data Engineering team designs, builds, and supports the data systems that power our ... The role offers a high degree of ownership and hands-on learning, with exposure to Python, SQL ...

Description Our Data Engineering team designs, builds, and supports the data systems that power our ... The role offers a high degree of ownership and hands-on learning, with exposure to Python, SQL ...

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The Data Engineer is responsible for designing, developing, and optimizing enterprise data ... in SQL and Python; familiarity with cloud platforms and big data technologies. · Ability to ...

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... in SQL and Python; familiarity with cloud platforms and big data technologies. • Ability to ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... using SQL, Informatica, IICS, Snowflake, and Python. * Data Validation and Quality Assurance ... Data Pipeline Quality Engineering Partner with data engineering teams to embed testing and quality ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... using SQL, Informatica, IICS, Snowflake, and Python. * Data Validation and Quality Assurance ... Data Pipeline Quality Engineering Partner with data engineering teams to embed testing and quality ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security ...

Showing results 41-60

Sql Python Data Engineer information

See Carol Stream, IL salary details

$46K

$134.2K

$183.6K

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

As of Sep 10, 2026, the average yearly pay for sql python data engineer in Carol Stream, IL is $134,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,200.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

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

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

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

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

What cities near Carol Stream, IL are hiring for Sql Python Data Engineer jobs?

Cities near Carol Stream, IL with the most Sql Python Data Engineer job openings:

Infographic showing various Sql Python Data Engineer job openings in Carol Stream, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,166 per year, or $64.5 per hour.

Data Engineer

Romeoville, IL • Hybrid

Magid Glove & Safety
Manufacturing • 501 - 1,000 employees

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

What Matters atMagid?YOU do!

"Thenumber onekey to growth is having good people and that's what has driven us at every stage of the game."- Greg Cohen, CEO

At Magid, we're not just passionate about safety-we're passionate about people. As an industry leader, we've built an innovative and collaborative environment where diversity is celebrated, ideas are valued, and personal and professional growth never stops.

Job Summary

The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work spans product sourcing, customer journeys, service delivery, sales workflows, and the platforms and SME's that support them. We have seen a drastic increase in adoption of the Data Engineer's services. We are embedding data culture into our DNA and are excited to add a new face to that mission.

Essential Responsibilities

  • Data pipelines and transformations (ingest, clean, vet, test, transform, publish)
  • Well-documented datasets and advanced semantic models that enable reporting and analysis
  • Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting
  • Datasets that support machine learning use cases with clear definitions
  • Incremental improvements to pipeline performance, cost, and reliability with guidance
  • Collaboration with partners to clarify requirements and iterate on data products
  • Partner in Data Discovery & Solution Shaping
  • Develop Power BI Solutions that are iterative while supporting our current ecosystem of analytics driven reporting
  • Learn source systems and data flows; help map entities, identifiers, and key business rules
  • Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)
  • Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and increase adoption

Build & Maintain Data Pipelines

  • Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
  • Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, Fabric Data Lake, KQL)
  • Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
  • Help monitor pipeline health and data quality; investigate variances and propose code enhancements to key datasets.


Contribute to a Strong Data Culture

  • Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
  • Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
  • Willingness to tackle obscure requests and find ways to solve cumbersome outdated workflows


How We Work

  • Empowered to solve problems, not just build features
  • Accountable for outcomes, not output
  • Collaborative by default, from discovery through delivery
  • Continuously learning, using data, AI/ML and customer insight to improve

Hybrid Work Schedule:Monday - Thursday onsite at our corporate office in Romeoville, IL; Fridays WFH.

Magid offers a variety of benefits to our team members including:

  • Health, dental, vision, life and disability insurance
  • Bonus plan
  • 401k retirement plan with company match
  • Company provided Profit Sharing
  • Participation in Magid Paid Time Off (PTO) Policy
  • 9 Paid Holidays