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Etl Developer Remote Jobs in Wheaton, IL (NOW HIRING)

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems ... health." * DevOps / DataOps Practices: Implement source control, branching strategies, CI/CD ...

RethinkFirst

Data Engineer (Microsoft Fabric)

Chicago, IL · Remote

$117K - $140K/yr

Develop, optimize, and deploy ETL/ELT pipelines and reusable framework for seamless data ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

blueStone

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

... dashboards; ETL design; SQL queries; ad hoc reporting and strong analytical and communication ... Must be able to work with the remote based BI team, and offshore development team, staying closely ...

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 ... Collaborate with ETL and Data Engineering teams on data ingestion, orchestration, and ...

Cccis

Solutions Engineer

Chicago, IL · On-site +1

$167K - $195K/yr

RDBMS, database schema concepts, and ETL pipelines; AI/ML methodologies #LI-DNI #NOINDEED ... engineering/architecture required. Required skills: Enterprise B2B SaaS; business and technical ...

New

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Support data migration and ETL processes. * Ensure data integrity, security, and performance. AI ...

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

... DevOps, CI/CD pipelines, and infrastructure automation. * Integrate and harmonize data across ... Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data ...

ampliFI Loyalty Solutions

Software Engineer

Naperville, IL · On-site +1

$130K - $132K/yr

Define best practices for data warehousing, ETL/ELT (using Glue), optimization, and data security ... remote work is not an option for tax reasons: AL, AK, AR, CA, CT, DE, HI, ID, IA, KS, KY, LA, ME ...

ampliFI Loyalty Solutions

Software Engineer

Naperville, IL · On-site +1

$132K - $147K/yr

Define best practices for data warehousing, ETL/ELT (using Glue), optimization, and data security ... remote work is not an option for tax reasons: AL, AK, AR, CA, CT, DE, HI, ID, IA, KS, KY, LA, ME ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Our work environment: Remote opportunities Growth advancement opportunities Flexible work ... build ETL data pipelines, clean data and enable large scale data processing. * Understand the ...

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Etl Developer Remote information

See Wheaton, IL salary details

$30

$55

$78

How much do etl developer remote jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for etl developer remote in Wheaton, IL is $55.46, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

What is an ETL developer?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to become an ETL developer who works remotely?

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

How do ETL developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.
More about Etl Developer Remote jobs
What are popular job titles related to Etl Developer Remote jobs in Wheaton, IL? For Etl Developer Remote jobs in Wheaton, IL, the most frequently searched job titles are:
What cities near Wheaton, IL are hiring for Etl Developer Remote jobs? Cities near Wheaton, IL with the most Etl Developer Remote job openings:
Etl Developer Remote jobs near you
Infographic showing various Etl Developer Remote job openings in Wheaton, IL as of August 2026, with employment types broken down into 69% Full Time, 3% Part Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,348 per year, or $55.5 per hour.

Lead Data Engineer

Hinshaw & Culbertson

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Posted 6 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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