Engineering Consultant Visa Sponsorship Jobs in Illinois
Engineering consultant visa sponsorship jobs in Illinois are concentrated in Chicago's metro area, where firms like AECOM, Burns & McDonnell, and Jacobs Engineering staff large infrastructure, transportation, and industrial projects. Downstate hubs including Peoria and Rockford add manufacturing and process engineering demand, giving sponsored candidates multiple regional markets to target.
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Get Access To All JobsJob Title: Senior Databricks Data Engineering Consultant
Location: Hybrid (Indianapolis, IN)
Job Type: Full-Time
About SDG Group
SDG Group is a global consulting firm specialized in Data, Analytics & AI. We are committed to unlocking organizations’ potential and hidden value by offering in-depth expertise that empowers our clients’ business models to become successful data-driven enterprises.
Innovation is in our DNA. We constantly evolve our value proposition through cutting-edge laboratories, advanced analytics, and AI technologies — enabling our clients to accelerate their data transformation journeys.
SDG Group operates on a model of Triple Expertise — combining deep industry domain knowledge, technological proficiency, and strategic partnerships with leading software providers such as Snowflake, Matillion, Databricks, and Microsoft.
With proven experience across 700+ clients, we deliver Data & AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools designed to fast-track implementation. We have strong alliances with major AI hyperscalers including Microsoft, Google, and AWS, and are recognized globally as a leader in Data and AI services.
Our AI practice is anchored by Orbitae, SDG’s agentic AI brand, and INSIGHTGEN, together with 50+ accelerators and industry agent frameworks that shorten the distance between fragmented enterprise data and deployed, governed AI agents — in the cloud, on-premises, or across hybrid and sovereign environments.
If you’re seeking to join a team fully specialized in Data, Analytics, and AI, we can’t wait to meet you.
Position Overview
As a Senior Databricks Data Engineering Consultant, you will lead the design, development, and delivery of modern data solutions for SDG Group’s clients, serving as a senior technical contributor and trusted partner across complex engagements.
Working as part of a consulting delivery team, you will partner closely with technical and business stakeholders to shape data requirements, guide solution design, and ensure reliable, scalable delivery that supports analytics, reporting, AI, and broader data-driven initiatives.
This opportunity requires deep, hands-on Databricks experience, with particular emphasis on Databricks SQL and SQL-based data engineering workloads delivered on the Databricks Lakehouse Platform. You will design and operate medallion (bronze/silver/gold) architectures built on Delta Lake, governed through Unity Catalog, orchestrated with Databricks Workflows and Delta Live Tables / Lakeflow Declarative Pipelines, and served through Databricks SQL Warehouses. You will work across complex enterprise data environments, lead technical decisions, optimize transformations and pipelines, validate data, and help establish scalable patterns and best practices for downstream business and analytical use cases.
This role is well suited for an experienced data engineer who enjoys combining hands-on delivery with technical leadership, client partnership, mentoring, and ownership of complex data engineering workstreams.
Key Responsibilities
-
Databricks Architecture & Development: Lead the design, build, testing, and maintenance of scalable Lakehouse solutions within Databricks - medallion (bronze/silver/gold) layering, Delta Lake tables, Databricks Workflows job orchestration, and Delta Live Tables / Lakeflow Declarative Pipelines - with a strong focus on SQL-based transformation and data processing workloads running on Databricks SQL Warehouses.
-
Advanced SQL Development: Design, troubleshoot, and optimize complex SQL and Spark SQL queries and transformation logic used for data processing, validation, reconciliation, and analytical workloads, including MERGE INTO upserts, Delta time travel, partitioning, and performance tuning driven by the Databricks Query Profile.
-
Technical Leadership: Own or lead data engineering workstreams, guide technical decisions, establish development approaches, and help ensure high-quality delivery across complex client engagements.
-
Data Integration: Design and implement integrations across structured and unstructured data sources using modern ETL/ELT methodologies and data integration tools, including batch and incremental ingestion patterns with COPY INTO and Delta MERGE, and Lakehouse Federation for querying external systems.
-
Data Modeling & Warehousing: Design and review scalable data models and warehouse structures that support reporting, analytics, AI, and downstream applications.
-
Cloud Data Solutions: Lead or contribute to the architecture and modernization of cloud-based data platforms using Databricks and related cloud technologies.
-
Technical Delivery & Governance: Drive technical delivery while promoting strong practices for development, testing, documentation, deployment, maintainability, and governance, including Unity Catalog governance (catalogs, schemas, grants, lineage, row/column-level security and data masking) and deployment automation through Databricks Asset Bundles, Git folders, and CI/CD pipelines.
-
Data Quality & Performance: Lead troubleshooting and optimization efforts across data quality, reliability, scalability, and query or pipeline performance.
-
Client Leadership: Partner directly with client stakeholders to clarify requirements, explain tradeoffs, recommend solutions, manage technical expectations, and connect engineering decisions to business outcomes.
-
Team Leadership & Mentorship: Collaborate across multidisciplinary teams, review technical work, share best practices, and mentor less experienced engineers and consultants.
-
Continuous Learning: Stay current with evolving Databricks capabilities, data engineering methodologies, and industry best practices while contributing knowledge and technical leadership to the broader SDG community.
Qualifications
-
Professional Experience: Approximately 5–7+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or a related technical discipline, with demonstrated ownership of complex technical delivery. Consulting or other client-facing experience is strongly preferred.
-
Databricks Experience: Extensive hands-on professional experience working within Databricks is required, including production data engineering and analytical workloads on Unity Catalog-enabled workspaces. Databricks Certified Data Engineer Associate or Professional certification is highly valued.
-
Databricks SQL: Advanced experience using Databricks SQL, including designing, troubleshooting, and optimizing complex queries and transformations for enterprise-scale workloads, as well as sizing and managing SQL Warehouses (serverless and pro), result caching, Query Profile analysis, materialized views, and DBU cost optimization.
-
SQL & Programming: Advanced SQL skills, including joins, CTEs, window functions, aggregations, complex transformations, performance tuning, and data validation. Strong working proficiency in Python or another relevant programming or scripting language.
-
Data Engineering Fundamentals: Deep understanding of data pipelines, ETL/ELT processes, data integration, data warehousing, transformation patterns, and production data engineering best practices.
-
Data Modeling: Strong understanding of dimensional modeling and modern data modeling concepts, with the ability to design scalable analytical data structures.
-
Cloud & Data Platforms: Strong experience working with modern cloud environments and enterprise-scale data platforms, including architecture and modernization initiatives.
-
Data Integration Tools: Experience with modern data engineering, orchestration, or transformation tools. Experience with Matillion and/or dbt is highly preferred.
-
Data Quality & Performance: Demonstrated ability to lead data validation, reconciliation, troubleshooting, and performance optimization across multiple source and target systems.
-
Problem Solving & Technical Judgment: Strong analytical and architectural judgment with the ability to evaluate tradeoffs, solve ambiguous technical problems, and translate complex business requirements into scalable solutions.
-
Consulting & Communication Skills: Strong written and verbal communication skills with the ability to lead technical discussions, influence stakeholders, explain complex concepts clearly, and build credibility with clients.
-
Leadership & Growth Mindset: A proactive, collaborative approach with demonstrated ability to mentor others, raise delivery standards, and continuously expand technical and consulting expertise.
Preferred Experience
- Databricks SQL Warehouses
- Delta Lake / Delta Tables
- Databricks Workflows and orchestration
- Unity Catalog and data governance
- Databricks query, cluster, and performance optimization
- Delta Live Tables / Lakeflow Declarative Pipelines
- Databricks Asset Bundles, Git folders, and CI/CD for Databricks
- DBU cost optimization
- Lakehouse Federation and Delta Sharing
- Databricks Mosaic AI, Vector Search, and AI/BI Genie
- Matillion
- Dbt
- Python / PySpark
- Snowflake
- Experience leading enterprise-scale data migration or modernization initiatives
- Experience working within pharmaceutical, life sciences, healthcare, or another highly regulated industry
What We Offer
-
Stability and Growth: Full-time employment in a growing high-tech industry with a meritocratic culture that supports career advancement and professional development.
-
Competitive Compensation: Competitive salary and a 401(k) retirement plan with employer match.
-
Comprehensive Benefits: Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
-
Work-Life Balance: 3+ weeks of paid vacation, a flexible holiday schedule, and hybrid working arrangements that balance on-site and remote work.
-
Supportive Community: A collaborative environment where you will work alongside experienced professionals, learn from your colleagues, and contribute to meaningful client engagements.
-
Focus on Technology: Continuous training and exposure to modern Data, Analytics, and AI technologies, supported by SDG Group’s partnerships with leading technology providers.
Job Title: Senior Databricks Data Engineering Consultant
Location: Hybrid (Indianapolis, IN)
Job Type: Full-Time
About SDG Group
SDG Group is a global consulting firm specialized in Data, Analytics & AI. We are committed to unlocking organizations’ potential and hidden value by offering in-depth expertise that empowers our clients’ business models to become successful data-driven enterprises.
Innovation is in our DNA. We constantly evolve our value proposition through cutting-edge laboratories, advanced analytics, and AI technologies — enabling our clients to accelerate their data transformation journeys.
SDG Group operates on a model of Triple Expertise — combining deep industry domain knowledge, technological proficiency, and strategic partnerships with leading software providers such as Snowflake, Matillion, Databricks, and Microsoft.
With proven experience across 700+ clients, we deliver Data & AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools designed to fast-track implementation. We have strong alliances with major AI hyperscalers including Microsoft, Google, and AWS, and are recognized globally as a leader in Data and AI services.
Our AI practice is anchored by Orbitae, SDG’s agentic AI brand, and INSIGHTGEN, together with 50+ accelerators and industry agent frameworks that shorten the distance between fragmented enterprise data and deployed, governed AI agents — in the cloud, on-premises, or across hybrid and sovereign environments.
If you’re seeking to join a team fully specialized in Data, Analytics, and AI, we can’t wait to meet you.
Position Overview
As a Senior Databricks Data Engineering Consultant, you will lead the design, development, and delivery of modern data solutions for SDG Group’s clients, serving as a senior technical contributor and trusted partner across complex engagements.
Working as part of a consulting delivery team, you will partner closely with technical and business stakeholders to shape data requirements, guide solution design, and ensure reliable, scalable delivery that supports analytics, reporting, AI, and broader data-driven initiatives.
This opportunity requires deep, hands-on Databricks experience, with particular emphasis on Databricks SQL and SQL-based data engineering workloads delivered on the Databricks Lakehouse Platform. You will design and operate medallion (bronze/silver/gold) architectures built on Delta Lake, governed through Unity Catalog, orchestrated with Databricks Workflows and Delta Live Tables / Lakeflow Declarative Pipelines, and served through Databricks SQL Warehouses. You will work across complex enterprise data environments, lead technical decisions, optimize transformations and pipelines, validate data, and help establish scalable patterns and best practices for downstream business and analytical use cases.
This role is well suited for an experienced data engineer who enjoys combining hands-on delivery with technical leadership, client partnership, mentoring, and ownership of complex data engineering workstreams.
Key Responsibilities
-
Databricks Architecture & Development: Lead the design, build, testing, and maintenance of scalable Lakehouse solutions within Databricks - medallion (bronze/silver/gold) layering, Delta Lake tables, Databricks Workflows job orchestration, and Delta Live Tables / Lakeflow Declarative Pipelines - with a strong focus on SQL-based transformation and data processing workloads running on Databricks SQL Warehouses.
-
Advanced SQL Development: Design, troubleshoot, and optimize complex SQL and Spark SQL queries and transformation logic used for data processing, validation, reconciliation, and analytical workloads, including MERGE INTO upserts, Delta time travel, partitioning, and performance tuning driven by the Databricks Query Profile.
-
Technical Leadership: Own or lead data engineering workstreams, guide technical decisions, establish development approaches, and help ensure high-quality delivery across complex client engagements.
-
Data Integration: Design and implement integrations across structured and unstructured data sources using modern ETL/ELT methodologies and data integration tools, including batch and incremental ingestion patterns with COPY INTO and Delta MERGE, and Lakehouse Federation for querying external systems.
-
Data Modeling & Warehousing: Design and review scalable data models and warehouse structures that support reporting, analytics, AI, and downstream applications.
-
Cloud Data Solutions: Lead or contribute to the architecture and modernization of cloud-based data platforms using Databricks and related cloud technologies.
-
Technical Delivery & Governance: Drive technical delivery while promoting strong practices for development, testing, documentation, deployment, maintainability, and governance, including Unity Catalog governance (catalogs, schemas, grants, lineage, row/column-level security and data masking) and deployment automation through Databricks Asset Bundles, Git folders, and CI/CD pipelines.
-
Data Quality & Performance: Lead troubleshooting and optimization efforts across data quality, reliability, scalability, and query or pipeline performance.
-
Client Leadership: Partner directly with client stakeholders to clarify requirements, explain tradeoffs, recommend solutions, manage technical expectations, and connect engineering decisions to business outcomes.
-
Team Leadership & Mentorship: Collaborate across multidisciplinary teams, review technical work, share best practices, and mentor less experienced engineers and consultants.
-
Continuous Learning: Stay current with evolving Databricks capabilities, data engineering methodologies, and industry best practices while contributing knowledge and technical leadership to the broader SDG community.
Qualifications
-
Professional Experience: Approximately 5–7+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or a related technical discipline, with demonstrated ownership of complex technical delivery. Consulting or other client-facing experience is strongly preferred.
-
Databricks Experience: Extensive hands-on professional experience working within Databricks is required, including production data engineering and analytical workloads on Unity Catalog-enabled workspaces. Databricks Certified Data Engineer Associate or Professional certification is highly valued.
-
Databricks SQL: Advanced experience using Databricks SQL, including designing, troubleshooting, and optimizing complex queries and transformations for enterprise-scale workloads, as well as sizing and managing SQL Warehouses (serverless and pro), result caching, Query Profile analysis, materialized views, and DBU cost optimization.
-
SQL & Programming: Advanced SQL skills, including joins, CTEs, window functions, aggregations, complex transformations, performance tuning, and data validation. Strong working proficiency in Python or another relevant programming or scripting language.
-
Data Engineering Fundamentals: Deep understanding of data pipelines, ETL/ELT processes, data integration, data warehousing, transformation patterns, and production data engineering best practices.
-
Data Modeling: Strong understanding of dimensional modeling and modern data modeling concepts, with the ability to design scalable analytical data structures.
-
Cloud & Data Platforms: Strong experience working with modern cloud environments and enterprise-scale data platforms, including architecture and modernization initiatives.
-
Data Integration Tools: Experience with modern data engineering, orchestration, or transformation tools. Experience with Matillion and/or dbt is highly preferred.
-
Data Quality & Performance: Demonstrated ability to lead data validation, reconciliation, troubleshooting, and performance optimization across multiple source and target systems.
-
Problem Solving & Technical Judgment: Strong analytical and architectural judgment with the ability to evaluate tradeoffs, solve ambiguous technical problems, and translate complex business requirements into scalable solutions.
-
Consulting & Communication Skills: Strong written and verbal communication skills with the ability to lead technical discussions, influence stakeholders, explain complex concepts clearly, and build credibility with clients.
-
Leadership & Growth Mindset: A proactive, collaborative approach with demonstrated ability to mentor others, raise delivery standards, and continuously expand technical and consulting expertise.
Preferred Experience
- Databricks SQL Warehouses
- Delta Lake / Delta Tables
- Databricks Workflows and orchestration
- Unity Catalog and data governance
- Databricks query, cluster, and performance optimization
- Delta Live Tables / Lakeflow Declarative Pipelines
- Databricks Asset Bundles, Git folders, and CI/CD for Databricks
- DBU cost optimization
- Lakehouse Federation and Delta Sharing
- Databricks Mosaic AI, Vector Search, and AI/BI Genie
- Matillion
- Dbt
- Python / PySpark
- Snowflake
- Experience leading enterprise-scale data migration or modernization initiatives
- Experience working within pharmaceutical, life sciences, healthcare, or another highly regulated industry
What We Offer
-
Stability and Growth: Full-time employment in a growing high-tech industry with a meritocratic culture that supports career advancement and professional development.
-
Competitive Compensation: Competitive salary and a 401(k) retirement plan with employer match.
-
Comprehensive Benefits: Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
-
Work-Life Balance: 3+ weeks of paid vacation, a flexible holiday schedule, and hybrid working arrangements that balance on-site and remote work.
-
Supportive Community: A collaborative environment where you will work alongside experienced professionals, learn from your colleagues, and contribute to meaningful client engagements.
-
Focus on Technology: Continuous training and exposure to modern Data, Analytics, and AI technologies, supported by SDG Group’s partnerships with leading technology providers.
Engineering Consultant Job Roles in Illinois
See all Engineering Consultant Jobs in Illinois
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Search Engineering Consultant Jobs in IllinoisEngineering Consultant Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for engineering consultants in Illinois?
Major engineering consultancies with Illinois offices and documented H-1B visa sponsorship history include AECOM, Jacobs Engineering, Burns & McDonnell, WSP Global, and CDM Smith. These firms regularly staff transportation, infrastructure, and environmental projects across the Chicago metro. Mid-size specialty firms in Peoria and Rockford also sponsor for manufacturing and process engineering consultant roles, particularly when local candidate pipelines run thin.
What visa types realistically fit engineering consultant roles in Illinois?
Engineering consultant positions qualify as specialty occupations requiring a directly related bachelor's degree, making H-1B the primary visa pathway. Australian nationals can pursue the E-3 visa, and Chilean and Singaporean nationals have access to the H-1B1 visa. F-1 students can work through OPT, with a 24-month STEM OPT extension available for those holding a STEM-designated degree. EB-2 and EB-3 green card sponsorship is available from established consultancies after initial visa approval.
How to find engineering consultant visa sponsorship jobs in Illinois?
Migrate Mate lists Illinois employers with verified H-1B and E-3 LCA sponsorship history, searchable by role and city, so you can focus on firms already familiar with engineering consultant sponsorship. Filtering to the Chicago metro or Peoria market lets you identify which consultancies filed most recently, narrowing your applications to employers with active sponsorship pipelines rather than speculative outreach.
Which cities in Illinois have the most engineering consultant sponsorship jobs?
Chicago and its suburbs, including Rosemont, Schaumburg, and Oak Brook, account for the largest share of engineering consultant sponsorship activity in Illinois, driven by transit, water, and commercial construction projects. Peoria supports a secondary market tied to Caterpillar's supply chain and heavy equipment manufacturing consultancy needs. Rockford and East St. Louis also generate periodic demand for infrastructure and industrial process engineering roles.
Are there state-specific factors that affect engineering consultant sponsorship in Illinois?
Illinois's volume of federally funded transit and infrastructure projects, including Chicago Transit Authority expansions and I-55 corridor upgrades, keeps large consultancies actively hiring and sponsoring. The University of Illinois system supplies a strong domestic pipeline, but specialized disciplines such as geotechnical, water resources, and structural engineering often see gaps that prompt firms to sponsor international candidates. Illinois has no state-level immigration restrictions affecting private-sector H-1B sponsors.
What is the prevailing wage for sponsored engineering consultant jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.