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Junior Python Sql Developer Jobs in Bolingbrook, IL

Sidley Austin LLP

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Provide technical mentorship and guidance to junior team members, promoting best practices in ... Strong proficiency with Python, SQL, and Apache Spark for data processing * Proven experience ...

Sidley

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Provide technical mentorship and guidance to junior team members, promoting best practices in ... Strong proficiency with Python, SQL, and Apache Spark for data processing * Proven experience ...

Kalderos

Sr. Data Engineer

Chicago, IL · On-site +1

$145K - $170K/yr

Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake ... Take ownership, lead decision-making, and mentor junior engineers What You'll Bring * Bachelor ...

Kalderos

Sr. Data Engineer

Chicago, IL · On-site +1

$145K - $170K/yr

Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake ... Take ownership, lead decision-making, and mentor junior engineers What You'll Bring * Bachelor ...

AAR Corporation

Jr. Web Developer

Wood Dale, IL

$75K - $80K/yr

The Junior Web Developer supports the design, development, maintenance, and enhancement of web ... Support database integrations and SQL development Collaborate on enhancements and new feature ...

AAR

Jr. Web Developer

Wood Dale, IL · On-site

$75K - $80K/yr

Description The Junior Web Developer supports the design, development, maintenance, and enhancement ... Support database integrations and SQL development Collaborate on enhancements and new feature ...

AAR Corporation

Jr. Web Developer

Wood Dale, IL

$75K - $80K/yr

The Junior Web Developer supports the design, development, maintenance, and enhancement of web ... Support database integrations and SQL development Collaborate on enhancements and new feature ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

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

CVS Health

Principal Data Scientist

Chicago, IL · On-site

This position will own end-to-end analytic strategy -from data engineering and model design to ... Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG ...

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Junior Python Sql Developer information

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How much do junior python sql developer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for junior python sql developer in Bolingbrook, IL is $87,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $86,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Python Sql Developer vs Data Analyst?

AspectJunior Python Sql DeveloperData Analyst
Required SkillsPython, SQL, basic data manipulationSQL, Excel, data visualization
CertificationsOptional Python/SQL certificationsData analysis or visualization certifications
Work EnvironmentDevelopment teams, database managementBusiness units, reporting teams
Industry UsageTech, finance, healthcareMarketing, finance, consulting

Junior Python SQL Developers focus on coding, database querying, and scripting to support software and data infrastructure. Data Analysts interpret data, create reports, and visualize insights. While both roles require SQL skills, Python is more central for developers, whereas analysts emphasize data presentation. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Python Sql Developer jobs in Bolingbrook, IL? The most popular types of Python Sql Developer jobs in Bolingbrook, IL are:
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Junior Python Sql Developer jobs near you
Senior Data Engineer

Senior Data Engineer

Sidley Austin LLP

Chicago, IL • On-site

$109K - $148K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Senior Data Engineer will design, build, and maintain the scalable data pipelines, models, and infrastructure that power analytics, business intelligence, and machine-learning products across the company. Partnering closely with business, product, and analytics teams, you will translate complex requirements into elegant, reliable data solutions and help drive the delivery of innovative data products. This role reports to the Senior Manager, Data Engineering.
  • Build E2E Azure Databricks-based data solutions.
  • Design, develop, and maintain scalable ETL and streaming data pipelines on Azure Databricks, leveraging Apache Spark, Delta Lake, and Azure Data Lake Storage (ADLS Gen2) to enable reliable lakehouse architectures and ensure efficient ingestion, transformation, and storage of data
  • Build and optimize data models and schemas for analytics, reporting, and operational data stores
  • Build and optimize Delta Lake / Lakehouse patterns (Bronze/Silver/Gold), including schema evolution and time travel
  • Develop high-quality PySpark / Spark SQL transformations, optimize joins, partitioning, caching, and shuffle behavior.
  • Implement and maintain data quality frameworks, including data validation, monitoring, and alerting mechanisms.
  • Collaborate closely with data architects, analysts, data scientists, and product teams to align data engineering activities with business goals.
  • Leverage cloud data platforms (Azure, AWS or GCP) to build and optimize data storage solutions, including data warehouses, data lakehouses, and real-time data processing.
  • Develop automation processes and frameworks for CI/CD supported by version control, linting, automated testing, security scanning, and monitoring
  • Contribute to the maintenance and improvement of data governance practices, helping to ensure data integrity, accessibility, and compliance with regulations such as GDPR.
  • Provide technical mentorship and guidance to junior team members, promoting best practices in software engineering, data engineering, and agile development.
  • Troubleshoot and resolve complex Azure Databricks platform data infrastructure and pipeline issues, ensuring minimal downtime and optimal performance.

Education and/or Experience:
Required:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
  • A minimum of 5 years of hands-on experience in data engineering, designing and building scalable data pipelines, ETL/ELT processes
  • A minimum of 5 years of hands-on experience designing, building, and operating data solutions
  • Extensive experience with cloud data platforms in Azure, AWS, or Google
  • Strong proficiency with Python, SQL, and Apache Spark for data processing
  • Proven experience building reusable, metadata-driven data ingestion frameworks using Python and Scala
  • Hands-on experience with modern data-platform components (object storage, Lakehouse engines, orchestration tools, columnar warehouses, streaming services).
  • Proven experience with data modeling, schema design, and performance tuning of large-scale data systems.
  • Deep understanding of data engineering best practices: code repositories, CI/CD pipelines, test automation, monitoring, and alerting systems.
  • Skilled at crafting compelling data narratives through tables, reports, dashboards, and other visualization tools
  • Strong problem-solving and analytical skills with excellent attention to detail.
  • Excellent communication skills and experience collaborating with technical and business stakeholders.

Preferred:
  • Master's degree in Computer Science, Engineering
  • Experience building data pipelines in an Azure Databricks environment
  • Knowledge of Databricks architecture and core components, including Databricks Lakehouse, Delta Lake, Databricks SQL, Apache Spark clusters, Unity Catalog, Databricks Workflows (Jobs), and Databricks Notebooks
  • Hands-on experience integrating Azure Databricks with Azure DevOps, Azure Blob Storage / ADLS Gen2, Azure Key Vault, and Azure Data Factory
  • Familiarity with enterprise data modeling tools such as ERwin Data Modeler, including the ability to interpret and apply logical and physical data models to analytical and lakehouse architectures
  • Experience migrating to-or building-data platforms from the ground up
  • Experience with Infrastructure as Code (IAC) and Governance as Code
  • Familiarity with machine-learning workloads and partnering on feature engineering
  • Experience working in an Agile delivery model

Other Skills and Abilities:
The following will also be required of the successful candidate:
  • Strong organizational skills
  • Strong attention to detail
  • Good judgment
  • Strong interpersonal communication skills
  • Strong analytical and problem-solving skills
  • Able to work harmoniously and effectively with others
  • Able to preserve confidentiality and exercise discretion
  • Able to work under pressure
  • Able to manage multiple projects with competing deadlines and priorities

#LI-Hybrid
#LI-OE1
The target salary range for this role is:
$148,000 - $164,000 if located in Illinois
Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Sidley.com/Benefits.
To perform this job successfully, an individual must be able to perform the Duties and Responsibilities above satisfactorily and meet the requirements. The requirements listed above are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email sidleytalentacquisition@sidley.com (current employees should contact Human Resources).
Sidley Austin LLP is an Equal Opportunity Employer.

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