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Principal Data Engineer Jobs in Illinois (NOW HIRING)

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

Principal Data Engineer

Chicago, IL

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

Principal Software Engineer

Westchester, IL

$133K - $179K/yr

About the Role IAA is seeking a Principal Data Engineer to serve as the most senior individual contributor and technical authority across our data engineering function. This is a hands-on, deeply ...

Principal Data Engineer

Rosemont, IL · On-site +1

$142 - $210/hr

Principal Data Engineer Location: Job location - Rosemont, IL- The position is based in Rosemont, IL, but remote work anywhere in the U.S. will be considered. Responsibilities: * Develop and maintain ...

Principal Data Engineer (New York)

Chicago, IL · On-site

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our New York office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

Principal Data Architect Location: Job location -Rosemont, IL- The position is based in Rosemont ... Implement DevOps Best practices for all data integrations, participate in all types of testing ...

Principal Data Architect Location: Job location -Rosemont, IL- The position is based in Rosemont ... Implement DevOps Best practices for all data integrations, participate in all types of testing ...

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ... Partner with engineering and platform teams to productionalize AI/ML solutions, including ...

Principal Data Scientist

Mettawa, IL · On-site

$150 - $210/hr

Partner with engineering and platform teams to productionalize AI/ML solutions, including ... The Principal Data Scientist may lead technical workstreams with external analytics vendors and ...

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ... Partner with engineering and platform teams to productionalize AI/ML solutions, including ...

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ... Partner with engineering and platform teams to productionalize AI/ML solutions, including ...

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ... Partner with engineering and platform teams to productionalize AI/ML solutions, including ...

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Principal Data Engineer information

See Illinois salary details

$71.7K

$142.7K

$205.9K

How much do principal data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for principal data engineer in Illinois is $142,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $167,600.00 per year, depending on experience, location, and employer.

What is a principal data engineer?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What are the typical daily responsibilities of a principal data engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

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

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

What are the most commonly searched types of Principal Data Engineer jobs in Illinois?

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

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

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

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

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

What cities in Illinois are hiring for Principal Data Engineer jobs?

Cities in Illinois with the most Principal Data Engineer job openings:

Infographic showing various Principal Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $142,660 per year, or $68.6 per hour.

Principal Data Engineer

National Express Corp

Warrenville, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


National Express rating

6.9

Company rating: 6.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

69th of 99 rated public transport


Job description

Summit School Services companies share a strong commitment to provide the highest level of transportation safety, quality transportation, outstanding customer service and positive employee relations. Our corporate headquarters, located in Warrenville, Illinois, houses the administrative and corporate support functions for the organization. Our 250 local customer service centers (CSCs) are supported by regional operations teams located throughout North America.

We are seeking a highly technical Principal Data Engineer to design, scale, and evolve our enterprise data ecosystem. In this role, you will serve as the technical authority for our data infrastructure, driving the strategy for data warehouse design, real-time streaming, and robust governance.

As a Principal Engineer, you will balance hands-on technical leadership with strategic cross-functional collaboration, mentoring engineers, and aligning our data capabilities with long-term business goals. You are the strategic anchor and technical authority for our enterprise data ecosystem. In this role, you will design, govern, and optimize our Microsoft Fabric and Power BI design to transform complex, multi-modal data streams-including near-real-time telematics, operational routing, and financial ERP systems-into secure, scalable, and actionable intelligence.

You will bridge the gap between technical execution and business strategy, ensuring our data platform is robust, compliant with federal regulations (FERPA), and built for high-performance self-service analytics.

Responsibilities

Enterprise Data Design

  • Define Medallion Standards: Author, document, and defend the design boundaries and ingestion logic across the Bronze, Silver, and Gold layers within Fabric.
  • Tool & Pattern Selection: Establish clear organizational frameworks for when to deploy specific Fabric components (e.g., Mirroring vs. Dataflow Gen2 vs. Data Factory Pipelines).
  • Power BI Storage Strategy: Standardize dataset configurations, defining precise criteria for utilizing DirectLake, Import, or DirectQuery modes to balance cost, freshness, and performance.

Integration & Advanced Pipeline Engineering

  • Multi-Speed Ingestion Patterns: Design repeatable, hardened ingestion patterns for diverse data velocities:
    • Near Real-Time: GPS and IoT telematics streams.
    • Operational Batch: Dispatch, scheduling, and routing systems.
    • Transactional/Financial: Enterprise ERP data.
  • Resiliency & Frameworks: Own the end-to-end framework for data ingestion into OneLake, embedding enterprise-grade error handling, automated retry logic, and proactive monitoring/alerting systems.

Data Modeling & Master Data Management (MDM)

  • Gold Layer Definition: Design enterprise-wide dimensional models and star schemas within the Gold layer to serve as the single source of truth.
  • Semantic Layer Standardization: Establish strict governance for Power BI semantic models, including DAX measure naming conventions, hierarchy design, and Row-Level Security (RLS) structures.
  • Master Data Management: Spearhead the definition and enforcement of canonical master data entities across disparate systems, specifically governing unified definitions for Vehicle IDs, Driver IDs, and Student Records.

Data Governance, Security, and Compliance

  • Access Control & Lifecycle: Enforce Fabric workspace security utilizing Microsoft Entra ID / Security Groups for identity management, eliminating ad-hoc individual user provisioning.
  • Data Protection & Auditability: Implement Microsoft Purview sensitivity labels, robust Row-Level Security (RLS), and comprehensive audit trails, serving as the primary technical point of contact for data security audits.

Business Enablement & Analytics Delivery

  • Requirements Translation: Act as the primary conduit between operations, safety, finance, and district stakeholders, translating complex operational requests (e.g., "On-time arrival rate by district") into technical data products.
  • Productized Delivery: Lead the deployment of certified, user-friendly Power BI apps and dashboards, reducing friction for business users and eliminating the need for stakeholders to write direct SQL/KQL queries against the Gold layer.

Technical Profile & Qualifications

  • Platform Expertise: Deep, hands-on experience with Microsoft Fabric, OneLake, Power BI, and the Azure Data stack.
  • Data Modeling Mastery: Proven track record building enterprise Star Schemas, handling Slowly Changing Dimensions (SCDs), and establishing Master Data Management (MDM) protocols.
  • Security & Compliance: Direct experience securing highly sensitive data environments; familiarity with FERPA, HIPAA, or similar strict privacy frameworks is highly preferred.
  • Communication & Documentation: Exceptional ability to articulate complex technical decisions to executive leadership, document blueprints, and mentor engineering teams.

Qualifications:

  • Experience: 10 years of experience in data engineering, with at least 2 years of hands-on experience designing enterprise solutions within Microsoft Fabric or advanced Azure Synapse/Databricks environments.
  • Fabric Ecosystem Mastery: Deep technical understanding of Fabric capacities, OneLake shortcuts, Managed Private Endpoints, and the interplay between Lakehouses and Warehouses.
  • Advanced Spark & Delta Lake: Expert-level knowledge of Apache Spark (PySpark) and the Delta Lake storage format, including optimization techniques like V-Order, Z-Order indexing, and liquid clustering.
  • Languages: Expert in SQL and Python (including libraries like Pandas, Polars, or PySpark).
  • Orchestration & DevOps: Experience with Fabric Git integration, Azure DevOps/GitHub Actions, and Infrastructure as Code (Terraform) for Fabric resource provisioning.

Summit School Services has a zero-tolerance policy on conduct that is incompatible with its policies and values, including sexual exploitation and abuse, harassment, abuse of authority, and discrimination. Summit School Services is committed to promoting the protection and safeguarding of all children and passengers.

We offer medical, dental, vision, basic life insurance coverage, holiday pay, and PTO accrual. Additionally, employees are able to enroll in a retirement savings plan.

At Summit School Services our goal is to be a diverse workforce that is representative of the communities we serve. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.

Summit School Services LLC's independent subsidiaries and affiliates are an equal employment opportunity (EEO) employer

The pay rate range, along with most all of the other terms and conditions of employment, vary between different sites, geographical markets, customer/ contractual terms and positions. 


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