Mid Level Chicago Startup and Tech Jobs

6

Data Engineer

Kalderos
Chicago
12 hours ago
+28
Kalderos is experiencing a unique rapid scale moment and is seeking several development and engineering roles, including a Data Engineer that will be responsible for building world-class software solutions over a wide variety of warehousing, analytics, machine learning and reporting requirements. The ideal candidate is a leader who has extensive experience in data delivery and decision support technologies, has a strong sense of responsibility to customer concerns and who enjoys working in an environment filled with variety, urgency, and continuous personal and professional growth.

Machine Learning Engineer

Stats Perform
Chicago
4 days ago
+24
We are looking for a Machine Learning Engineer to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by developing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

Software Engineer - Data Platform

Arrive
Chicago
4 days ago
+24
Building and deploying end to end data pipelines. Designing new enterprise data models and ETL processes to populate them. Working with data and software engineers to develop, test, and deploy new data driven solutions. Continuously looking at new technologies that improve our data infrastructure.

Data Engineer

Brad's Deals
Chicago
6 days ago
+48
In this role, you will focus on the design, implementation, operation, and refactoring  of data management systems to meet the Brads Deal's business needs. This includes designing how the data will be stored, consumed, and integrated into our systems.  You will take business requirements, transform them into data models, and develop ETL processes to populate those models.  We are a small (and growing) team so it's important that you enjoy working a project from end­-to-­end. You will identify, design, and implement internal improvements to how we process data.  This could include automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. You should have hands-on experience with a variety of the data warehousing concepts and practices, covering both technical development  as well as ‘not­-necessarily technical practices’ such as data governance.   This list of experiences includes data manipulation, database partitioning, data structures, data management, and best engineering practices.

Senior Data Engineer

Arrive
Chicago
1 week ago
+24
Arrive is looking to add a Data Engineer to build and maintain cutting-edge, scalable, flexible data pipelines that allow us to run a modern, data-driven business and uncover real-time insights. Reporting to the Lead Data Engineer, this person will take ownership of the reliability and availability of data in our data warehouse in order to support data analysis and storytelling efforts.

Database Developer

Kalderos
Chicago
5 months ago
+24
Build and maintain relational database artifacts and analytic tools that are high-performance, maintainable and flexible. Assist the Database Developer in planning for and acting on requirements for constant growth and expansion of Kalderos’ database environment. Quickly gain expertise with Kalderos’ existing database and business models and provide input on how to continually enhance both. Be the first line of support for questions about data quality and status.  Adhere to and promote software development standards and align them with changing technologies. Continually research and analyze new database frameworks and tools that Kalderos can bring to bear in its continuous improvement journey.

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