1

Weekday Financial Data Engineer Jobs in Illinois

Sr. Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field. 5 to 8+ years of experience within the field of data engineering or ...

Data Engineer II

Chicago, IL ยท On-site

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience working in gaming, hospitality, financial services, or other data-intensive industries.

Data Engineer II

Chicago, IL ยท On-site

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience working in gaming, hospitality, financial services, or other data-intensive industries.

... world's top financial institutions and Fortune Global 500 companies. With a strong presence ... The Senior Data Engineer is responsible for designing, building and maintaining modern data ...

Software Engineer - Data Engineering

Chicago, IL ยท On-site

$118K - $141K/yr

They are seeking a Software Engineer for their Data Engineering team to design and maintain systems ... financial data experience not required, but a strong plus โ€ข Recent hands-on experience with AWS ...

Data Engineer, Python & ETL

Chicago, IL ยท On-site

$118K - $141K/yr

Chicago IL Jobs, Data Engineer, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures, Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

We believe pet insurance is more than a financial product and build solutions to simplify the pet ... Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ...

Data Engineer III

Lake Forest, IL ยท Hybrid

$104K - $174K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

Data Engineer III

Lake Forest, IL ยท On-site

$104K - $174K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

Data Engineer III

Lake Forest, IL ยท Hybrid

$104K - $174K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

That's why our benefits program supports your physical, emotional, mental, and financial health ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

Data Engineer II - Zelle

Chicago, IL ยท Hybrid

$83K - $124K/yr

S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much ... The Data Engineer evaluates, designs, and develops business intelligence solutions across multiple ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... Integrate complex financial APIs and third-party data sources into internal systems * Collaborate ...

Showing results 41-60

Weekday Financial Data Engineer information

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What are the most commonly searched types of Financial Data Engineer jobs in Illinois? The most popular types of Financial Data Engineer jobs in Illinois are:

Sr. Data Engineer

1 point system

Chicago, IL โ€ข On-site

$118K - $141K/yr

Contractor

Re-posted 10 days ago


Job description

Requirement – Sr. Data Engineer

Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote)

Contract W2

PURPOSE:

The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:

Work with Product team to determine requirements and propose approaches to address users' needs.

• Analyze requirements to determine approach/proposed solution.

• Design and Build Solutions using relevant programming language.

• Thoroughly test solutions using relevant approaches and tools

• Conduct research into software-related issues and products

• Bring out-of-box thinking and solutions to address challenging issues

• Effectively prioritize and execute tasks in a fast-paced environment

• Work both independently and in a team-oriented, collaborative environment

• Flexible and adaptable to learning and understanding new technologies

• Highly self-motivated and directed

• Demonstrate a commitment to client core values

• Exercise independent judgment in methods and techniques for obtaining results.

• Work in an agile/scrum environment.

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.

EDUCATION:

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field.

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.