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Data Engineer Relocation Jobs in Illinois (NOW HIRING)

Caterpillar

Data Scientist

Morton, IL · On-site

This role requires strong programming skills, the ability to learn complex business processes, and ... This role is located in Morton, IL and does not offer relocation. * This role is 1st shift, Monday ...

Adidev Technologies Inc

AI/ML

Chicago, IL · On-site

Software engineering and/or Data Engineering background, especially in one of the major clouds ... Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ... Paid relocation is on us. * Support, even from afar, with our remote assistance. * Regular salary ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ... Paid relocation is on us. * Support, even from afar, with our remote assistance. * Regular salary ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ... Paid relocation is on us. * Support, even from afar, with our remote assistance. * Regular salary ...

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Data Engineer Relocation information

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Illinois? For Data Engineer Relocation jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Illinois look for? The top searched job categories for Data Engineer Relocation jobs in Illinois are:
What cities in Illinois are hiring for Data Engineer Relocation jobs? Cities in Illinois with the most Data Engineer Relocation job openings:
Data Engineer Relocation jobs near you
Urgent need on Data Solutions Architect (Azure Databricks / Retail / CPG), Chicago, IL

Urgent need on Data Solutions Architect (Azure Databricks / Retail / CPG), Chicago, IL

Parmesoft Inc.

Chicago, IL • On-site

Other

Posted 9 days ago

Job description

!!! VERY URGENT REQUIREMENT !!!

Data Solutions Architect (Azure Databricks / Retail / CPG)

Location: Chicago (Hybrid)

Duration: 6-12 Months

 

Client wants the Consultant to relocate to Chicago, IL and work 100% onsite from Day 1

 

We are seeking an experienced Data Solutions Architect to lead the design and delivery of enterprise-scale cloud data platforms for Retail and Consumer Packaged Goods (CPG) clients. This role combines deep technical expertise with strong consulting and stakeholder management skills to architect scalable, secure, and business-aligned data solutions. The ideal candidate will have extensive experience designing modern data platforms using Microsoft Azure and Databricks, with strong proficiency in Python, SQL, Apache Spark, and Data Modelling. The successful candidate will work closely with business leaders, enterprise architects, engineering teams, and client stakeholders to define data strategies, solution architectures, and implementation roadmaps that enable advanced analytics, AI/ML, customer insights, and operational excellence.

Key Responsibilities

Solution Architecture & Strategy

  • Design end-to-end cloud-native Data & AI platforms leveraging Azure, Databricks, Snowflake, AWS & Google Cloud Platform & Gemini Enterprise.
  • Define target-state data architecture aligned to business objectives and enterprise technology strategy.
  • Develop architecture blueprints, reference architectures, solution patterns, and technology roadmaps.
  • Lead architecture discussions with client executives, enterprise architects, and engineering teams.
  • Translate business requirements into scalable technical solutions.

Technical Leadership

  • Architect enterprise data lakes, lakehouses, data warehouses, and analytical platforms.
  • Define scalable ingestion, transformation, storage, and serving patterns for data & analytical products.
  • Lead architectural decisions around batch, streaming, real-time analytics, and AI-ready data platforms.
  • Establish reusable design patterns, standards, governance, and engineering best practices.
  • Guide engineering teams throughout implementation and provide technical leadership.

Retail / CPG Domain Consulting

  • Design data platforms supporting Retail and CPG use cases, such as Customer 360 & MDM, Sales & Commercial Analytics, Demand Forecasting, Supply Chain Visibility, Inventory Optimization, Trade Promotion Management, Marketing Analytics etc.
  • Collaborate with business stakeholders to identify opportunities for data-driven transformation.

Required Technical Skills

·        Cloud & Data Platforms: Microsoft Azure, Databricks, Azure Data Factory, ADLS Gen2, Azure Key Vault, Azure DevOps

·        Programming & Data Engineering: Python, SQL, Apache Spark (PySpark), Delta Lake, ETL / ELT,Data Modelling (Conceptual, Logical & Physical)

·        Architecture: Enterprise Data Architecture, Modern Data & AI Platform Design, Data Acquisition & Integration, API-based Integration, Batch & Streaming Architectures, Data Security & Identity, Performance Optimisation, Solution Design Documentation

 

Preferred Skills

Databricks Unity Catalog, Federation Design, Snowflake, AWS (S3, Glue, Lambda, EMR, Redshift), Data Governance & Data Management frameworks (e.g., DAMA-DMBOK), Lakeflow Designer, Genie, Lakebase, Master Data Management (MDM), Data Quality Frameworks, Terraform, CI/CD using Azure DevOps, REST API integration, AI/ML platform architecture, GenAI and Large Language Model (LLM) integration patterns, Gemini Enterprise integration etc.

Experience

  • 12+ years of experience in Data Analytics & AI including 8+ years relevant designing enterprise cloud data platforms.
  • Proven experience architecting Azure Databricks solutions including new Databricks offerings
  • Strong consulting and client-facing experience.
  • Experience leading geographically distributed engineering teams.
  • Experience delivering enterprise-scale transformation programs.
  • Retail or Consumer Packaged Goods (CPG) industry experience is essential.

 Thanks & Regards,

 

Steve

Sr. Manager Recruitment’s

___________________

Parmesoft, Inc

2626 Cole Ave, Ste: 300

Dallas, TX 75204

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