Mid Level Chicago Startup and Tech Jobs

17

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
3 days 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.

Clinical Informatics Integration Analyst

Tempus
Chicago
3 days ago
+34
We are looking for a motivated Clinical Informatics Integration Analyst who will work with our cross functional teams and current hospital and industry partners to ensure a seamless integration between Tempus and our customer’s clinical systems. You’ll work closely with customer’s hospital EMR, EDW, and oncology data management teams to understand their workflows and goals in order to implement and support our cutting edge products and start making an impact very quickly for their cancer patients.

Senior Data & Machine Learning Scientist

Data Warehouse Architect/Modeler

Lab Operations Project Manager

Informatics Data Engineer

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Informatics Scientist - Cardiology AI

Statistical Geneticist

Load 6 more jobs10 jobs at Tempus

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
5 days 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.

Data Engineer

DialogTech
Chicago
5 days ago
+47
We are looking for a passionate, driven, and detail-oriented Data Engineer to join our Data Science and Analytics team. In this role, you’ll work with our team to design, implement, and optimize our data lake and data pipelines. At DialogTech, we have a mixture of structured and unstructured data -- the DialogTech platform handles over 1 million calls/day and produces over 10 millions minutes of transcriptions per month, and our data labeling team generates over 600 thousand data labels per year. As a Data Engineer, you’ll be focused on building data pipelines and tools to help us scale up our labeling and modeling practices. You'll be expected to keep up with current trends in technologies that can be used to improve our data focused systems.

Data Engineer

Kalderos
Chicago
1 week 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
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:

Applied Data Science Lead, Commercial

Civis Analytics
Chicago
2 weeks 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.

Senior Data Scientist

Root Insurance
Chicago
3 weeks ago
+27
Root is looking for an experienced Senior Data Scientist to help drive the future of our team. This includes taking high-level business challenges, translating them into a concrete, quantitative framework, and shepherding solutions from R&D into production. A Senior Data Scientist is expected to join the team with years of industry or academic experience in directly relevant topics.

DATA SCIENTIST

Conversant
Chicago
1 month 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

Cloud Data Engineer

Maven Wave Partners
Chicago
1 month 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 month 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. 

Data Engineer

Legal & General Investment Management America
Chicago
1 month ago
+26
As a Data Engineer you will be joining a motivated team of professionals working to design and build solutions for entire breath of the firm, including Portfolio Managers, Analysts, Quants, Marketing, Compliance and Operations. You will gain exposure to a variety of partners at all levels, from Senior Technology leaders to Senior Business partners. In addition, you will obtain exposure and experience in the latest technologies. We are adopting a wide array of technology and approaches from some of the most proven Open Source projects to tried-and-true enterprise platforms.

Principal Data Scientist

Strong Analytics
Chicago
1 month ago
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. Diving in at key points to contribute technically (e.g., in data modeling/engineering). Preparing/presenting final deliverables to clients at project updates and final delivery.

Data and Analytics Staff Consultant

Analytics8
Chicago
6 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.

Database Developer

Kalderos
Chicago
6 months ago
+28
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
6 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
6 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 $68,835
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $73,646
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 $95,319
Min: $67K
Max: $135K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Scientist $111,103
Min: $45K
Max: $155K
Data Engineer $117,450
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $134,000
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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