Mid Level Chicago Startup and Tech Jobs

20

Senior Data Engineer

Arrive
Chicago
1 day 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.

Research Lead (The Studio)

dscout
Chicago
4 days ago
+46
We are looking for a Research Lead to join our Studio Team. On our Studio Team, you take on the most challenging projects our clients have: investigating emerging trends, clarifying business opportunities, testing the boundaries of iconic brands, and vetting new-to-the-world products and services, all while pushing dscout’s own products to the limit. You can think of dscout’s Studio Team as a powerful qualitative research consulting team. Research Leads are every project’s center point; the driving force behind research design, analysis, synthesis, and storytelling; and the main point of contact for clients and team members. You are a seasoned researcher, relying on both your experience and skills to ensure the richest insights. You are a poised professional, able to handle meetings and clients with ease. You are also a master at project management with a specific focus on ensuring the team remains focused and engaged no matter the situation. Finally, you are comfortable with rigorous analysis - you love to dive deep into the data to unearth meaningful insights for your clients. You conclude your research projects with powerful, well-designed deliverables that communicate a clear story (in a format that clients actually want to look at!). If this sounds like you and you’re excited for the challenge, we would love for you to apply today!

Cloud Data Engineer

Maven Wave Partners
Chicago
1 week ago
+22
Build and implement complex data solutions in the cloud (AWS, GCP and/or Microsoft). Uncover and recommend remediations for data quality anomalies. Investigate, recommend and implement data ingestion and ETL performance improvements. Document data ingestion and ETL program designs, present findings, conduct peer code reviews. Develop and execute test plans to validate code.

Data Scientist

Maven Wave Partners
Chicago
1 week ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Senior Data Scientist

Maven Wave Partners
Chicago
1 week ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Machine Learning Engineer

Stats Perform
Chicago
1 week 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:

Data Engineer

Lumere
Chicago
1 week ago
+42
As a Data Engineer, you will build scalable automated pipelines for collecting data from our constituent healthcare systems and 3rd party data providers. These data feeds support Lumere’s analytics and research solutions that drive cost-savings and outcomes improvement at hospitals. You will apply engineering best practices to test and deploy new pipelines and to track and monitor pipeline status.

Software Engineer - Data Platform

Arrive
Chicago
1 week 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 Architect

3Cloud
Chicago
1 week ago
+25
Cloud Data Architect drives customer initiatives leveraging Azure data and analytics services (e.g., ranging from SQL Server to SQL Database and SQL Data Warehouse to Cortana Intelligence Suite) to solve the biggest and most complex data challenges faced by enterprise customers. The CDA is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for Azure data services. CDAs own the Azure technical customer engagement including: architectural design sessions, implementation projects and/or proofs of concept and pilots.

Data Analyst - Sales & Forecasting - Air

Hopper
Chicago
2 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
2 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.

Data Scientist - POS Data

SPINS LLC
Chicago
2 weeks ago
+25
Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information. Collaborate with our data scientists on engineering predictive features from our product intelligence database. Prototype, implement, and optimize data new pipelines and architectures that can transform our data to impactful insights. Create robust daily, weekly, or monthly automated processes to deliver impactful work. Create innovative and efficient techniques that better solve the problems we are working on. Assess risks to proposed analytics solutions based on quality of existing data sources and actively develop QA procedures to mitigate those risks. Tailor our syndicated data to retail and CPG business needs in a robust and scalable way. Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.

Senior Analyst, Third Party Risk Management.

OCC
Chicago
1 month ago
+33
The Senior Analyst will provide support Third Party Risk Management by helping perform risk identification, Third Party Risk Assessments, supporting risk mitigation, assisting with reports, and working on projects as needed. In addition, the Senior Analyst may be responsible for special projects as assigned. The Senior Analyst will be partnering with key stakeholders to assist with TPRM efforts to monitor and manage Third Party Relationships in compliance with TPRM procedures.

Data Developer

Sphera
Chicago
1 month ago
+28
The Data Developer works closely with other developers and regulatory analysts with a focus on the regulatory data and business layer of large applications. The incumbent will develop and support the data product solutions which provide key information to the business layer of multiple large applications. Sphera Solutions are committed to keeping our customers FIRST and greatly value our personnel as our most important asset.

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
3 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
4 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.

Data and Analytics Staff Consultant

Analytics8
Chicago
4 months ago
+17
Strong knowledge of BI/DW development methodologies, dimensional modeling, standards and procedures. Intermediate level SQL experience. Significant Experience in one or more of the following toolsets: Data Integration Tools (ETL), Business Intelligence Products, and Data Visualization Tools. Design and implement effective test cases. Develop complex business logic using advanced tools to transform and cleanse data. Create industry standard technical artifacts for project delivery. Experience with an industry data modeling tool Industry Relevant Certification(s). Basic understanding of network and system architecture. Contribute to high quality project documentation and other project artifacts. Scrutinize functional requirements, specifications and source to target mapping documents, identifying underspecified requirements and other design challenges.

Software Engineer - Java - Machine Learning

Productive Edge
Chicago
5 months ago
+20
Provide technical analysis, design, development, and enhancement. Provide process, data and object modeling in a variety of application and database environments. Provide database design, development, and enhancement, as well as management and coordination of changes to existing applications. Maintain senior level expertise and currency in industry-leading technologies.

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 + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $47,750
Min: $36K
Max: $63K
Data Analyst $68,868
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
Senior Business Analyst $95,252
Min: $67K
Max: $135K
Business Intelligence Developer $97,422
Min: $74K
Max: $126K
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 $120,396
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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