Mid Level Chicago Startup and Tech Jobs

15

Data Engineer

Kalderos
Chicago
1 day 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.

Reports Developer - Looker

Yello
Chicago
5 days ago
+36
Company Description We’ve all had a recruiting experience that stands out, either because it was magical or ‘oh so horrible.’  The technology that recruiting teams use to find, connect with, and advance talent often shapes a candidate’s experience. Yello’s software enables employers to recruit effectively and efficiently. If it excites you to be a part of a team that helps some of the world’s largest brands connect with their talent, then come

Product Manager

Machine Learning Engineer

Stats Perform
Chicago
6 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
6 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.

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.

Product Lead - Air

Hopper
Chicago
2 weeks ago
The Lead will manage a team of Product Managers who work across commercial, engineering, data science, and user experience teams within Hopper and partner closely with Hopper’s tech partners such as GDSs. On any given day - whether you’re weighing the tradeoffs of offering new features, scoping and specifying solutions, or shepherding features through development - your contribution will be critical to Hopper’s current and future success. 

Lead Quantitative Analyst

Morningstar
Chicago
2 weeks ago
+45
The Role: As a Lead Quantitative Analyst, you will be a highly visible representative of our Quantitative Research team. In this role you will be analyzing large data sets and condensing complex information into concise, relevant, and easy to communicate results. You will assist in the implementation and maintenance of statistical software applications, research databases, and other data products. In addition, you’ll be responsible for creating original investment research that helps investors. A successful candidate will have impeccable interpersonal and communications skills, a solid quantitative mindset, and a strong understanding of finance. This position is located in our Chicago office.

Product Manager, Morningstar Managed Portfolios

Fixed Income Business Analyst

Product Manager, Data Development

Product Manager

LogicGate
Chicago
2 weeks ago
+37
We are looking for a Product Manager that is excited to define and ship software products that help our customers improve their risk and compliance programs. You’re a product leader who can define tangible solutions for complex, and ambiguous user pain points. You enjoy cross-functional collaboration and are excited to partner with engineering, design, marketing, and customer success.

Data Analyst - Sales & Forecasting - Air

Hopper
Chicago
3 weeks ago
ABOUT HOPPER At Hopper, we’re on a mission to make booking travel faster, easier, and more transparent. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing travel app -- one that enables our customers to save money and travel more. With over $235M CAD in funding from leading investors in both Canada and the US, Hopper is primed to continue its path toward becoming

Business Analyst

Codal
Chicago
3 weeks ago
+36
Codal is searching for a highly experienced IT business analyst, a strategist with the right combination of technical knowledge and business acumen to provide our clientele with robust, informed solutions. Our ideal candidate will not only conduct rigorous analysis of a business' processes, objectives, and needs, but also translate these goals into functional requirements through comprehensive documentation. They will serve as a liaison between designers, developers, and the client, and recommend decisions based on the insights gained from intensive research.

Senior Data Scientist, NLP

Ascent
Chicago
3 months ago
+28
As a Senior Data Scientist working on NLP at Ascent, your day-to-day work will include working closely with business users, our regulation content team, and the rest of our data scientists and engineers to: a) use state-of-the-art NLP to automate significant sections of the workflow involved in onboarding and managing regulations; b) uncover novel features and information from text to enable new product features (e.g. finding related groups of regulation across regulators); c) deploy, monitor, and maintain models to actually solve problems in production; and d) experiment with creative solutions to problems that use new research and tools and disseminate new knowledge to the team. We primarily use the Python data ecosystem, including both scikit-learn and Keras+Tensorflow, but we are open to all tools. We use all kinds of models, including deep learning and non-deep learning; we prefer to use the simplest tool that accomplishes the goal. 

Data Engineer, Python

Ascent
Chicago
4 months ago
+28
As a Data Engineer at Ascent, you will be working closely with other Data Engineers, Data Scientists, business stakeholders, and the broader tech and product team to build applications, pipelines, and infrastructure that accelerates our regulatory data processing. Specifically, we are building a platform that a) ingests, transforms, and manages data (e.g. regulations, customer data, machine learning features, etc); b) deploys and coordinates data microservices such as machine learning models or other transformations; c) facilitates workflows across these microservices and data layers; and d) tests, monitors, and reports on itself.

Technical Account Director

StreamLayer
Chicago
4 months ago
This position will be responsible for proactively owning and managing technical relationships with global media companies (think ESPN, NBC Sports, etc.) and major sports leagues (NBA, NFL, PGA, etc.) involved in OTT video streaming. The role is part service delivery manager (managing the onboarding process), project manager, part relationship manager, part incident manager and overall client champion.  You will develop a deep understanding of our clients’ strategic OTT / streaming objectives and then use that information both to ensure the successful delivery of StreamLayer’s current solutions, as well as help drive the Company’s product road map so we continually stay well ahead of industry trends and thus the competition.

Senior Data Engineer

Ascent
Chicago
5 months ago
+28
Create a microservice ecosystem behind a consistent, well-documented API. Design and implement data models and database layers that support our machine learning and business intelligence activities. Use creativity and independent thinking to solve technical problems. Communicate clearly and effectively with technical and non-technical colleagues about our data engineering projects. Work closely with data scientists to understand their needs and processes. Work closely with our whole technology team to successfully maintain our data platform alongside the broader technology stack. Implement with an emphasis on tests, maintainability, and clean coding practices to produce simple solutions and reduce technical debt.

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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