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Remote Lead Data Engineer Jobs in Naperville, IL

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago ...

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

VeeRteq Solutions Inc.

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Remote (Prefer PST, 2nd Preference CST) USA Experience: Minimum 10+ years As a Senior Data Modeler ... Lead data discovery, source-to-target mapping, and EDW modernization initiatives. * Support ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ...

IQVIA

Senior Data Team Lead (Remote)

Chicago, IL · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main ...

Horizontal Talent

Data Engineer Lead

Chicago, IL · On-site +1

$51 - $89/hr

We're looking for a hands-on Data Engineer Lead to support an important Phase 0 discovery effort for contact identity, golden record, and marketing data model readiness. This role is ideal for ...

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

In this role, you will lead one of the most impactful teams in the organization, with significant ... While we are a remote-first company, we are currently only able to hire candidates located in the ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

In this role, you will lead one of the most impactful teams in the organization, with significant ... While we are a remote-first company, we are currently only able to hire candidates located in the ...

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued proliferation of data-driven decision-making throughout Paradigm by designing, building, and ...

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Our clients rely on us to lead them into what's next. * Diverse Perspectives Driving Innovative ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued proliferation of data-driven decision-making throughout Paradigm by designing, building, and ...

Paradigm

IT Data Engineer III - Remote

Lombard, IL · On-site +1

$115K - $140K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued proliferation of data-driven decision-making throughout Paradigm by designing, building, and ...

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All JobsLead Data Engineer JobsRemote Lead Data Engineer JobsRemote Lead Data Engineer Jobs in Naperville, IL

Remote Lead Data Engineer information

See Naperville, IL salary details

$42.4K

$123.6K

$180.2K

How much do remote lead data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote lead data engineer in Naperville, IL is $123,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $134,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a remote lead data engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a remote lead data engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
What are popular job titles related to Remote Lead Data Engineer jobs in Naperville, IL? For Remote Lead Data Engineer jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Lead Data Engineer jobs in Naperville, IL look for? The top searched job categories for Remote Lead Data Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Remote Lead Data Engineer jobs? Cities near Naperville, IL with the most Remote Lead Data Engineer job openings:
Remote Lead Data Engineer jobs near you

Lead Data Engineer

Hinshaw & Culbertson

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Posted 5 days ago

Job description

Lead Data Engineer
Firm Overview
Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago, the firm provides sophisticated legal counsel to clients in highly regulated industries, including insurance, financial services, healthcare, and professional services, as well as to government agencies, educational institutions, and nonprofit organizations. Learn more at hinshawlaw.com.
Job Summary
The Lead Data Engineer is a hands-on technical leader responsible for designing, building, and operating enterprise-grade data integration and analytics platforms across the firm. This role owns core data pipelines, data models, and production data operations, and establishes engineering standards that improve reliability, data quality, and delivery speed. The Lead Data Engineer partners closely with IT, Information Security, Information Governance, Finance, Knowledge Management, Marketing/Business Development, and practice groups to reduce data silos, clarify data ownership, and deliver trustworthy data for reporting, analytics, and emerging AI initiatives.
Essential Job Functions
  • Enterprise Data Integration & Pipelines: Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems (finance, HR, CRM, document management, and other enterprise platforms). Ensure data is delivered accurately, securely, and on schedule.
  • Data Architecture & Modeling: Define and enforce data architecture standards, including data models, schemas, and storage patterns for cloud-based data warehouse and lakehouse platforms. Optimize for performance, scalability, and analytical use.
  • Cloud Data Platform Management: Lead the implementation and operation of Microsoft Azure-based data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. Manage development, test, and production environments with focus on cost efficiency and reliability.
  • Own the firm's enterprise data warehouse and lakehouse platforms, including data models, ingestion pipelines, performance, reliability, and ongoing operational health."
  • DevOps / DataOps Practices: Implement source control, branching strategies, CI/CD pipelines, automated testing, deployment workflows, monitoring, and alerting for data pipelines and related code.
  • Production Data Operations: Oversee scheduling, execution, reconciliation, and monitoring of production data workflows. Proactively identify and resolve failures, data quality issues, and performance bottlenecks before they impact reporting or operations.
  • Data Governance & Quality: Partner with Information Governance and Security teams to implement data quality standards, lineage documentation, reconciliation processes, and stewardship models. Help define and enforce "source of truth" ownership for critical datasets.
  • Cross-Functional Collaboration: Work with business stakeholders to translate requirements into technical solutions and communicate complex data concepts in clear, non-technical terms. Ensure solutions align with firm strategy and operational priorities.
  • Security & Compliance: Ensure data integration and storage solutions comply with firm security policies, client confidentiality requirements, and applicable regulatory obligations. Implement access controls, encryption, and auditing where appropriate.
  • Innovation & Continuous Improvement: Evaluate emerging data, analytics, and AI capabilities and lead proof-of-concepts that improve reliability, usability, and business value.
  • Technical Leadership & Mentorship: Provide design guidance, code reviews, and technical coaching to junior engineers or database professionals as applicable. Establish repeatable patterns and standards.
  • Project & Vendor Management: Lead data-focused projects from initiation through delivery, coordinating internal teams and external vendors/consultants. Ensure knowledge transfer and long-term sustainability.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 8+ years of hands-on experience in data engineering, ETL/ELT development, and data integration.
  • 3+ years of experience designing and operating cloud-based data platforms (Microsoft Azure preferred).
  • Strong MS SQL skills and experience with relational database design, development, and performance tuning (SQL Server preferred).
  • Experience building reliable production data pipelines, including monitoring, alerting, and reconciliation.
  • Experience with source control and deployment practices for data workflows (e.g., Git and CI/CD pipelines).
  • Excellent written and verbal communication skills, including ability to explain technical concepts to non-technical audiences.
  • Ability to handle sensitive and confidential information with discretion and professionalism.
  • Availability for occasional after-hours work for major releases or production incidents.

Preferred Skills
  • Advanced experience with Azure data services (ADLS, Databricks, Azure Data Factory, Synapse).
  • Experience implementing enterprise data warehouses, data marts, and lakehouse architectures.
  • Experience with data integration tools such as Azure Data Factory, Talend, Boomi, or similar platforms.
  • Strong scripting and programming skills (Python, PowerShell, and/or .NET/C#) for data processing and custom integrations.
  • Familiarity with business intelligence and analytics tools such as Power BI or Tableau.
  • Experience with data governance frameworks, data quality controls, data cataloging, and lineage documentation.
  • Experience in a law firm or professional services environment is a plus, including familiarity with systems such as Elite 3E, Aderant, iManage, NetDocuments, Intapp/InterAction, or similar platforms.
  • Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.

Why Join Hinshaw?
At Hinshaw, we foster a collaborative and inclusive work culture. We offer competitive compensation, a comprehensive benefits program, and opportunities to work on enterprise-scale technology initiatives that directly support the firm's strategic objectives. The Lead Data Engineer will play a critical role in shaping the firm's data foundation and enabling analytics, reporting, and innovation across the organization.
Equal Opportunity Statement
Hinshaw & Culbertson LLP is an Equal Opportunity Employer. The firm is committed to providing equal employment opportunities and reasonable accommodations to qualified individuals with disabilities.

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