Mid Level Chicago Startup and Tech Jobs

16

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.

Machine Learning Engineer

Stats Perform
Chicago
5 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
5 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.

SQL Engineer

CCC Information Services
Chicago
1 week ago
+39
Every day, thousands of repair facilities use CCC to process their estimates and manage their shop’s workflow. In fact, majority of all U.S. auto repair estimates are processed by CCC. By tapping into the CCC Parts network, you can meet collision repairers where they work by embedding your parts inventory into their shop software—greatly increasing opportunities to sell parts and foster buyer relationships. We are looking for a SQL Engineer to join the parts team here in our Chicago Headquarters. This is an excellent opportunity to build a career in data engineering space and augment the skills to the next level. CCC Parts SQL Engineer will design and develop ETL, procedures, function and packages according to project requirements. This individual leverages their knowledge of analysis, design, coding, testing, and maintenance of software applications to develop, enhance, and modify CCC Parts applications. SQL Engineer works with the technical lead, other developers, and QA analysts to assist with the conceptualization of software solutions from the unit level through the integrated application level.

Oracle Developer

Business Consultant – Analytics and Data Visualization

Market Operations Analyst

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.

Business Intelligence Analyst

Livly
Chicago
2 weeks ago
+37
We are seeking a Business IntelligenceBusiness Intelligence Analyst to join our team and lead our efforts to be a cohesive source of knowledge for the organization. Livly has an expansive product portfolio as well as a diverse set of teams. Data will sit in the center of all of these products and teams to unite the business under an umbrella of knowledge, insights, and recommendations. This is a rare opportunity to influence and shape the data analytics foundation for an early-stage startup.

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

Data Analyst

Livly
Chicago
3 weeks ago
+37
We are seeking a Data Analyst to join our team and lead our efforts to be a cohesive source of knowledge for the organization. Livly has an expansive product portfolio as well as a diverse set of teams. Data will sit in the center of all of these products and teams to unite the business under an umbrella of knowledge, insights, and recommendations. This is a rare opportunity to influence and shape the data analytics foundation for an early-stage startup.

Principal Data Scientist

Strong Analytics
Chicago
3 weeks ago
Strong Analytics is seeking a Principal Data Scientist to join our growing team! Principal Data Scientists take responsibility for designing, executing, and delivering successful projects for our clients. They play a "player coach" role. In this role, you will: Work with clients to scope project requirements and architecture Orchestrating the project team (data scientists, engineers, and dev-ops) to successfully build out the project roadmap

Business Intelligence Tableau Analyst

Guaranteed Rate
Chicago
1 month ago
+23
Tableau Developer with an expertise to create visualizations that provide business insights for our global customers. Expertise in SQL, can independently mine data to translate Business data needs into creative visualizations. Have experience with performance tuning specific to Tableau. Trusted to work independently with stakeholders at all levels. Excellent communication skills to be able to work with business owners to develop and define key business questions and to build specification for the data sets that answer those questions. Projects will include requirements gathering, design, deployment, and on-going enhancements request. Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders. Support peers and stakeholders as a Subject Matter Expert (SME) through troubleshooting, analysis of results. Act as mentor and Tableau SME for other Tableau users across the company. Look for opportunities to improve current processes or find efficiencies by applying industry best practices as a BI developer.

Big Data Software Engineer

Big Data Technical Analyst

Database Engineer

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.

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.

Data Engineer

Strong Analytics
Chicago
5 months ago
Strong Analytics is seeking a data engineer to collaborate with our team building and managing ETL pipelines, embedding statistical algorithms in robust applications, and deploying machine learning applications to the cloud. This role requires high-level Python programming, high-level SQL, experience deploying applications to AWS, and experience in distributed data processing (e.g., Hadoop, Spark, Hive).

Data Scientist

Strong Analytics
Chicago
5 months ago
Statistical modeling and hypothesis testing. Designing, training, and validating results from a breadth of machine learning algorithms. Writing clean, efficient SQL. Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop). Building Python applications. Deploying applications into cloud-based infrastructures (e.g., AWS). Building deep neural networks with modern tools, such as PyTorch or Tensorflow. Creating and interacting with RESTful APIs. Managing *nix servers. Writing unit tests. Collaborating via Git.

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $47,750
Min: $36K
Max: $63K
Data Analyst $68,822
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $73,798
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,202
Min: $60K
Max: $135K
Business Intelligence Developer $94,680
Min: $70K
Max: $126K
Senior Business Analyst $95,252
Min: $67K
Max: $135K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Scientist $111,254
Min: $45K
Max: $155K
Data Engineer $119,768
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $135,500
Min: $120K
Max: $162K
Senior Data Scientist $137,939
Min: $47K
Max: $215K
Data Architect $140,182
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $146,241
Min: $103K
Max: $196K
Data Engineering Manager $196,000
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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