Mid Level Chicago Startup and Tech Jobs

22

Data Engineer

Kalderos
Chicago
13 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.

Reports Developer - Looker

Yello
Chicago
4 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

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.

Senior Analyst, People Analytics

The Marketing Store
Chicago
6 days ago
+54
The Senior Analyst, People Analytics will provide high-level analytic support to project teams and clients across both HAVI and TMS. Using a wide application of principles, theories, concepts, and techniques, this person will develop innovative, analytic solutions that help strategically position our talent workforce. She/he will apply expert knowledge to gather facts, research and analyze data, and develop conclusions and recommendations. This individual is responsible for ensuring that the data is accurate and presented it in a clear, concise, and business-relevant manner to key stakeholders. 

Senior Strategist

DATA SCIENTIST

Conversant
Chicago
6 days ago
+48
As a Data Scientist in our Decision Sciences R&D organization, you will be responsible for researching and building machine learning, natural language processing, and recommender system applications to extend Conversant’s personalization platform.  You will work on real-world problems as part of our highly collaborative R&D team, and your solutions will directly and rapidly impact our business.  This includes researching and developing models, algorithms, and applications; analyzing data; presenting findings; and building tools and analyses for new and existing products.

SENIOR DATA SCIENTIST

SENIOR ANALYST, STRATEGIC ACCOUNT ANALYTICS

Software Engineer - Analytics

DialogTech
Chicago
1 week ago
+47
DialogTech’s Analytics team plays an essential part in building solutions to help marketers completely understand and optimize the customer journey. We go beyond the phone call to analyze the conversation and extract insights to help marketers better serve their markets and customers. We are looking for smart, fast, passionate, and curious developers who can help push our products forward in new directions and into new markets. You will have experience and familiarity with researching, experimenting with, and using data from different sources to build new products and services. You'll be expected to keep up with current trends in technologies we use and help us find new technologies that can improve our products.

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.

Software Engineer

Integral Ad Science
Chicago
1 week ago
+49
We’re looking for a Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
We’re looking for a Senior Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Applied Data Science Lead, Commercial

Civis Analytics
Chicago
1 week ago
+31
We are currently seeking an ADS Leads play a pivotal role in powering Civis’ growth within the Commercial sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.  The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Data Scientists to deliver analytic solutions to our commercial clients that help inform some of their biggest decisions.

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
2 weeks ago
+49
Planning delivery of data pipelines and api endpoints for IAS (Integral Ad Science) product offerings. Extracting, transforming, and analyzing large volumes of structured and unstructured data. Implementing data processing solutions using Big data stack including but not limited to Hadoop, Spark, Vertica, and Hive. Writing SQL queries and other types of data requests in the context of massive data sets. Building data pipelines and data stores optimized for data science needs. Implementing systems for large-scale data analysis and machine learning. Building tools for use across the Data Science and Data Engineering teams. Identifying and implementing automated tests for software components. Deploying and maintaining data processing systems in production. Partnering with engineering teams on deployments of data science driven solutions.

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.

Fixed Income Business Analyst

Database Engineer

Civis Analytics
Chicago
2 weeks ago
+31
As a Database Administrator, you will be responsible for improving how Civis manages and supports Redshift, our product’s primary data warehouse, as well as with other database technologies. You will serve as a subject matter expert in all things database and work on initiatives across multiple departments to implement best practices and improve the user experience of our clients.

Data Scientist

Rewards Network
Chicago
3 weeks ago
+29
Drive actionable insights from data and present them to external and internal clients in a compelling manner. Collaborate across departments to understand business objectives and identify novel data-opportunities. Develop machine learning algorithms that support our three-way marketplace: Eg. recommendation engines, marketplace segmentation, behavioral analysis, customer retention, network optimization. Contribute to the development and maintenance of our data infrastructure to enhance the cleanliness and effectiveness of our data sources. Create well documented coding and analytics packets to ensure reusability as the team expands. Collaborate with Marketing in the design, implementation, and analysis of marketplace research.

Sales Analyst

Rewards Network
Chicago
3 weeks ago
+29
The Sales Analyst is charged with enabling the sales organization to create, manage and execute the company’s sales performance strategy. This role is responsible for utilizing all sales data and tools to ensure that Rewards Network Sales employees are aligned with our growth strategy, with the expectation to drive revenue and profitability. Reporting to the Manager of Financial Planning and Analysis, the Analyst will also be responsible for

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.

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 $119,746
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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