93 Data Engineer Jobs in Chicago, IL
BAI Inc. is Hiring a Data Engineer Near Chicago, IL
- Build systems, algorithms, and analytical tools to transform data into actionable insights that drive business value.
- Design, deploy, maintain, and ensure the consistency of the organization's databases and database architectures.
- Design, build, manage, and optimize data pipelines to support ETL processes and data integration tasks in a multi-tenancy cloud data platform using Azure and SQL technologies.
- Ensure all solutions meet high levels of performance, security, scalability, maintainability, availability, sustainability, appropriate reusability, and reliability.
- Optimize data processing through database tuning, query optimization, and ensuring scalable infrastructures.
- Develop and deploy robust data and reporting architectures (e.g., data lake, data warehouse) to handle large-scale datasets and ensure data quality and integrity.
- Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Collaborate with software engineers and product managers to understand detailed requirements for creating and enhancing new and legacy reporting and analytics solutions while adhering to architectural requirements of maintainability and scalability.
- Create new data validation methods and data analysis tools.
- Ensure compliance with data governance and security policies.
- Use and advise on specific technologies and best practices for utilizing cloud resources to efficiently ingest and process data and solve complex data problems.
- Administer databases, including modeling, design, and troubleshooting.
- Lead efforts to assess new technologies, products, and tools that can help improve business capabilities, customer value, and/or developer efficiency, and recommend specific solutions.
- Establish, document, and ensure compliance with data management best practices.
- Maintain comprehensive documentation of data models, pipelines, and ETL processes.
- Bachelor’s degree in computer science or related field strongly preferred
- Minimum of 5 years of experience as a data engineer
- Certifications in Azure Data Engineering, Spark, or other relevant technologies preferred
- Proven track record of developing ETL processes, data pipeline architecture, data models, and data analytics/reporting solutions
- Experience designing, implementing, and optimizing data architecture solutions in Azure
- Experience with SQL and ability to understand and author complex SQL queries, stored procedures, and functions
- Proven track record of leveraging data to deliver business value and present data-driven insights to business audiences
- Drive innovation in collaboration with business and technical stakeholders in alignment with the organization’s needs, overall applications portfolio, IT and business priorities and success measures to design and implement data solutions
- Communicate with all levels and functional areas of the BAI organization.
- Write and maintain documentation as needed to support knowledge sharing of existing and future technologies.
- Ability to understand business requirements and convert into technical specifications
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
- Self-starter, comfortable with ambiguity, ability to initiate and drive projects with minimal oversight and guidance
- Excellent collaboration, communication, and leadership skills
- Highly motivated, self-directed, and possess solid execution and follow-up skills; detail oriented but understands the broader impacts of projects and tasks
Job Summary
Full Time
Retail
$111k-136k (estimate)
02/08/2024
05/03/2024
blackaids.org
LOS ANGELES, CA
50 - 100
1999
Private
PHILL WILSON
$10M - $50M
Retail
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The job skills required for Data Engineer include SQL, Data Engineering, Data Warehouse, Computer Science, Insight, Azure, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.
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