Top 183 Data engineer Jobs in Arlington Heights, Il

Senior Data Engineer
PremiStar —Deerfield, IL
- Hybrid work
- Computer Science
- Mid-level
- Office
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Data Engineer
Contact Government Services, LLC —Chicago, IL
- $112,597.33 - $152,810.66 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply
Data engineer with Neo4j
Skylar IT Consulting LLC —Chicago, IL
- Contract
- Mid-level
- SQL
- AWS
Quick Apply
Data Engineer
Inspire11 —Chicago, IL
- $89,700 - $147,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Paid jury duty
- Commuter assistance
Data Operations Engineer Associate
Huron Consulting Services LLC —Chicago, IL
- $100,000 - $171,100 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Dental insurance
- Vision insurance
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Data Engineer
W.W. Grainger —Lake Forest, IL
- $95,000 - $158,400 a year
- Hybrid work
- DevOps
- 3 years
- Python
- Paid parental leave
- Dental insurance
Data Engineer
Cushman & Wakefield —Chicago, IL
- $114,750 - $135,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health savings account
- Disability insurance
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Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate)
Huron Consulting Services LLC —Chicago, IL
- $95,000 - $153,400 a year
- Full-time
- Remote
- Computer Science
- Java
- SQL
- Dental insurance
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Data Engineer with SQL and Databricks Exp.-In Person Interview
EAPPS TECH LLC dba Magicforce —Chicago, IL
- $60 - $70 an hour
- Software troubleshooting
- Mid-level
- SQL
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Data Engineer
The Scion Group —Chicago, IL
- $115,000 - $135,000 a year
- Urgently hiring
- Mid-level
- Office
- 3 years
- Paid parental leave
- Health insurance
Quick Apply
10d
Senior Data Engineer
Belvedere Trading —Chicago, IL
- $150,000 - $200,000 a year
- Email
- SQL
- Senior level
- No travel
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Data Engineer
Excel Sports Management —Chicago, IL
- $100,000 - $115,000 a year
- Computer science
- Azure
- Computer Science
7d
AI & Data Systems Engineer (Remote)
Ceribell, Inc —Chicago, IL
- $141,000 - $173,000 a year
- Email
- Remote
- Azure
- Computer Science
- Salesforce
- Employee stock purchase plan
- Paid holidays
Quick Apply
Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)
Huron Consulting Services LLC —Chicago, IL
- $110,000 - $177,000 a year
- Full-time
- Remote
- Computer Science
- Bachelor of Science
- Java
- Dental insurance
Quick Apply
Data Engineer II (Hybrid)
American Medical Association —Chicago, IL
- $85,396 - $112,925 a year
- Hybrid work
- Mid-level
- Office
- SQL
- Disability insurance
- Health insurance
Senior Data Engineer
Hopscotch Primary Care —Chicago, IL
- $150,000 - $190,000 a year
- Remote
- Azure
- Computer Science
- Writing skills
- Health savings account
- Paid holidays
Quick Apply
Senior Data Engineer
iManage —Chicago, IL
- $120,000 - $160,000 a year
- Email
- Hybrid work
- Computer Science
- 5 years
- Salesforce
- Dental insurance
- 401(k)
Quick Apply
Data Engineer
Aldridge Electric —Libertyville, IL
- $75,000 - $105,000 a year
- Azure
- Computer Science
- Writing skills
- Disability insurance
- Health insurance
6d
ASSOCIATE, DATA ENGINEER
Cresset Capital —Chicago, IL
- $85,000 - $110,000 a year
- Computer Science
- Mid-level
- AWS
- Health savings account
- Disability insurance
Quick Apply
Senior AI Data Engineer
Scorpion Enterprises, LLC —Chicago, IL
- $155,000 - $185,000 a year
- Remote
- 7 years
- Computer Science
- Analysis skills
- Paid parental leave
- Health insurance

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data engineer jobs near arlington heights, il

Senior Data Engineer

PremiStar -
Deerfield, IL

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Job Details

Qualifications

Data integrity assurance
Data model design
Commercial use (data warehousing systems)
Performance tuning
Performance dashboards
Cloud analytics services
Data visualization software proficiency
Cloud data warehouses
Data validation techniques
System performance optimization
Business intelligence report generation
Schema design
Stored procedures
ETL process automation
Business intelligence tools
Data integrity process (data warehousing)
Data analytics tools
System tuning
Data performance optimization

Full Job Description

The Sr. Data Engineer at PremiStar is responsible for building and optimizing the company’s data infrastructure in support of Project Mosaic and the Enterprise Data Unification initiatives. Project Mosaic is PremiStar’s enterprise-wide ERP transformation built on Microsoft Dynamics 365 – aimed at unifying systems, standardizing processes, and improving real-time data visibility across all business units.

In this role, The Sr. Data Engineer will develop and maintain robust data pipelines and unified data repositories (data lake and data warehouse) that consolidate information from Dynamics 365 and various legacy systems into a single source of truth.

RESPONSIBILITIES

Design, build, and maintain ETL/ELT processes that ingest and transform data from multiple sources (including D365 (Mosaic ERP) and legacy systems) into PremiStar’s Azure Synapse data lake and data warehouse.
Implement data cleansing, validation rules, and quality checks so that disparate data (from various business units and systems) is accurate, consistent, and ready for unified analysis.
Contribute to the design and expansion of enterprise data models and schema (e.g. star schema in the enterprise data warehouse) to support new reporting needs and Mosaic’s unified process definitions.
Work closely with the Analytics and BI consulting partners to enable self-service reporting and advanced analytics.
Prepare curated data sets for Power BI dashboards by writing efficient SQL queries or creating new pipeline components as needed.
Collaborate with cross-functional teams – including business analysts, data scientists, and ERP specialists – to understand data requirements arising from Project Mosaic deployments and other business initiatives.
Follow and promote software development best practices in analytics projects (version control, code review, documentation, etc.) and optimize existing data processes.

EDUCATION

Undergraduate degree or equivalent in Computer Science, Information Systems, or a related field required.

EXPERIENCE

3–5 years of hands-on experience in the design, development, and support of data pipelines (ETL/ELT processes)
3–5 years of experience writing and optimizing SQL (T-SQL) queries and working with Microsoft SQL Server or similar relational databases
1–3 years of experience in data modeling and database design
Prior experience in private equity backed industrial or multi-business-unit companies is a plus

SKILL REQUIREMENTS

Strong SQL programming skills, particularly with Microsoft SQL Server, including the ability to write efficient T-SQL queries, create stored procedures, and perform performance tuning on database operations.
Hands-on experience with Azure Synapse Analytics or similar cloud data warehousing technologies, including using Synapse (or Azure Data Factory) to create and orchestrate data pipelines, transform data at scale, and manage data lakes/warehouses.
Familiarity with Microsoft D365 (Dynamics 365 Finance & Operations, and/or Customer Engagement) – or similar ERP/CRM systems.
Proficient in Microsoft Power BI or comparable BI visualization tools, including an understanding how Power BI datasets and dataflows work.
Knowledge of DAX and Power BI performance tuning is a plus, as is experience with SSRS or other Microsoft BI stack components (e.g. SSIS/SSAS).
Strong understanding of data modeling concepts and tools.
Experience with master data management or data cataloging in a unified data environment.
Familiarity with data quality and profiling tools (i.e. using SQL or Python to implement data validation).
Comfort with a programming or scripting language (e.g., Python, PySpark, or SQL scripts) to transform and manipulate data within pipelines.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

WORK ENVIRONMENT:

This job operates in both an office and a field environment. Must be able to sit and/or stand for extended periods of time.

REASONABLE ACCOMODATION:

Reasonable accommodation will be made to enable individuals with disabilities to perform the essential job functions unless doing so presents an undue hardship on the Company’s business operations.

OTHER DUTIES:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Employees understand the above job description and agree to comply with and be subject to its conditions. Employee further agrees this job description does not alter his/her at-will employment status. Employees understand the Company reserves the right to delegate, remove, expand or change all responsibilities. Employees acknowledge that he/she can fulfill the above duties with or without reasonable accommodation.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

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Refine Your Search

data engineer jobs in arlington heights, il

Senior Data Engineer

Data Engineer

Data engineer with Neo4j

Data Engineer

Data Operations Engineer Associate

Data Engineer

Data Engineer

Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate)

Data Engineer with SQL and Databricks Exp.-In Person Interview

Data Engineer

Senior Data Engineer

Data Engineer

AI & Data Systems Engineer (Remote)

Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)

Data Engineer II (Hybrid)

Senior Data Engineer

Senior Data Engineer

Data Engineer

ASSOCIATE, DATA ENGINEER

Senior AI Data Engineer

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