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Live In Data Platform Engineer Jobs in Illinois (NOW HIRING)

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

This role sits at the intersection of operational systems, modern data platform engineering, and ... Drive improvements in upstream systems and schemas to reduce data issues at the source. Required ...

Sr. Data Engineer

Chicago, IL · Hybrid

$94K - $138K/yr

... Platform. You will apply strong data engineering fundamentals alongside software engineering and ... You will play a key role in enabling high-quality, reliable, and accessible data that drives ...

Sr Databricks Data Engineer

Chicago, IL

$118K - $141K/yr

... challenges in data modernization, governance, platform engineering, and insight delivery ... with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow ...

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse ... Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse ... Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse ... Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Caregiver Live In

IL · On-site

$220/day

Legal Shield, Data & ID Theft Protection * Pet Insurance * Health Discount Program Job Responsibilities As a Live-In Caregiver, you will play a vital role in helping seniors maintain their ...

IL

$220/day

Legal Shield, Data & ID Theft Protection * Pet Insurance * Health Discount Program Job Responsibilities As a Live-In Caregiver, you will play a vital role in helping seniors maintain their ...

... data access activity and investigating audit log events within the CRM environment Support platform compliance tooling and escalate security concerns in coordination with developers and the Director ...

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. * 10+ years of experience in data engineering, data platform development, or related disciplines. * 2+ ...

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

You have 8+ years of data engineering experience, including 3+ years in a lead role architecting large-scale data platforms. * Expert-level proficiency in Java, Springboot for building cloud-native ...

Showing results 41-60

Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
What are the most commonly searched types of Data Platform Engineer jobs in Illinois? The most popular types of Data Platform Engineer jobs in Illinois are:
What are popular job titles related to Live In Data Platform Engineer jobs in Illinois? For Live In Data Platform Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Illinois look for? The top searched job categories for Live In Data Platform Engineer jobs in Illinois are:
Senior Data Engineer

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Posted 11 days ago


Job description

Job Description

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.

This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

Roles and Responsibilities

  • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
  • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
  • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
  • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
  • Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
  • Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
  • Drive improvements in upstream systems and schemas to reduce data issues at the source.

Required Qualifications

  • 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

Preferred Qualifications

  • Experience working with manufacturing, MES, quality, or operational data.
  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Experience building semantic layers or governed analytical datasets.
  • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
  • Experience enabling AI or advanced analytics use cases on top of operational data.
  • Knowledge of streaming or near-real-time data pipelines.