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Remote Python Sql Developer Jobs in Bensenville, IL

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements ... Python, SQL, Terraform * Data Modeling : Strong understanding of data modeling concepts and ...

GIS Developer

Chicago, IL · On-site +1

$85K - $105K/yr

Automate data management workflows using Python, HTML, JavaScript, or related tools. * Design ... Write SQL queries, manage views, and support reporting needs across enterprise systems. * Perform ...

Lead DevOps Engineer

Chicago, IL · Remote

$54.25 - $74.50/hr

... remote days throughout the year. What You'll Do The Lead DevOps Engineer will partner with ... SQL, NoSQL, and graph DB technologies Additional Skills CI/CD pipeline design for scalability and ...

Senior Software Engineer

Chicago, IL · On-site +1

$153.32K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... Python Development: Production applications, APIs (calling and invoking, Rest API's) for data ...

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... Python and React. * Build and maintain SQL databases (e.g., PostgreSQL, MySQL) for efficient ...

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Digital Engineer

Chicago, IL · Remote

$65.20K - $169K/yr

Location This is a fully remote role based anywhere in the United States. About the job you're ... Python scripting, JavaScript, CSS, SQL, and API integrations to create scalable, production-grade ...

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Remote Python Sql Developer information

See Bensenville, IL salary details

$12

$57

$84

How much do remote python sql developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python sql developer in Bensenville, IL is $57.13, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $64.90 per hour, depending on experience, location, and employer.

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

AspectRemote Python Sql DeveloperData Analyst
Required SkillsPython, SQL, data manipulation, scriptingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech-focused teams, software development projectsRemote or on-site, business intelligence, reporting teams
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, healthcare, consulting firms

Remote Python Sql Developers focus on building data pipelines, automating data processes, and developing software solutions using Python and SQL. Data Analysts interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, Python expertise is more central for developers, whereas analysts emphasize statistical and visualization tools. The roles often overlap in data handling but differ in technical depth and project scope.

What are the most commonly searched types of Python Sql Developer jobs in Bensenville, IL? The most popular types of Python Sql Developer jobs in Bensenville, IL are:
What are popular job titles related to Remote Python Sql Developer jobs in Bensenville, IL? For Remote Python Sql Developer jobs in Bensenville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql Developer jobs in Bensenville, IL look for? The top searched job categories for Remote Python Sql Developer jobs in Bensenville, IL are:
What cities near Bensenville, IL are hiring for Remote Python Sql Developer jobs? Cities near Bensenville, IL with the most Remote Python Sql Developer job openings:
Sr. Data Engineer

$130K - $144K/yr

Full-time

Posted 14 days ago


PAR Technology rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

127th of 183 rated software companies


Job description

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.
Position Description:
We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for tackling complex challenges related to extracting insights from transactional data. In this role, you will work closely with our Application Development teams, Customer Support, Business SMEs, and stakeholders to design and implement data pipelines that transform our data into valuable insights. As we strive to scale and deploy new technologies that enhance the user experience and provide deeper insights, your expertise will be critical to our success.
Position Location:
Remote, United States
Reports To:
Engineering Manager
What We're Looking For:
Requirements:
  • Experience: 5+ years of experience in data engineering or related roles
  • Project Management: Experience leading projects and collaborating across teams
  • Problem-Solving Skills: Strong analytical and problem-solving abilities
  • Communication: Excellent communication skills for stakeholder engagement
  • Continuous Learning: Commitment to staying updated with industry technology trends
  • Agentic Engineering: Hands-on experience building with LLMs and coding agents to amplify day-to-day output, including the harnesses and internal tooling that let you and the rest of the team move faster.

Additional skills:
  • Programming: Python, SQL, Terraform
  • Data Modeling: Strong understanding of data modeling concepts and practices
  • Big Data Technologies: Spark, Databricks, Structured Streaming
  • Databases: Relational (Postgres) and NoSQL (DynamoDB) databases
  • CI/CD : CircleCI, DroneCI, Github Actions, Spacelift
  • Monitoring & Observability: DataDog
  • Cloud Platforms: AWS or Azure and their data solutions
  • Data Governance: Understanding data privacy, security, and governance practices
  • AI/ML Integration: Ability to integrate AI/ML models into data pipelines
  • LLM Tools: Experience with Claude Code, Cursor, Copilot, MCP, Agent Orchestrators
  • Version Control: Git, Github

Unleash your potential: What you will be doing and owning:
  • Developing robust, scalable data pipelines using cutting-edge technologies
  • Architecting and developing innovative data products that drive business insights
  • Utilizing advanced AI techniques to transform raw data into strategic intelligence

Interview Process:
  • Interview #1: Video Screen with Talent Acquisition Team
  • Interview #2: Video interview with the Hiring Manager (via MS Teams)
  • Interview #3: Video interview with the Team (via MS Teams)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you'd like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.