Mid Level Chicago Startup and Tech Jobs

28

Cloud Data Architect

Productive Edge
Chicago
1 day ago
+35
The Cloud Data Architect will be responsible for guiding the full lifecycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and Test and Deployment in Cloud Infrastructures. We are looking for candidates with a broad set of technology skills to be able to design and build robust Big Data solutions.

Data Engineer

Productive Edge
Chicago
1 day ago
+35
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.

Data Engineer

CNA
Chicago
1 day ago
+26
Assemble large and complex data sets from disparate data sources into consumable formats that meet business requirements. Create efficient and reproducible ETL Data Pipelines using SQL, Python or big data tools such as Spark. Work closely with Data Science, DevOps and data management teams to assist with data-related technical issues and support their data infrastructure needs. Build and maintain capabilities for data quality control,  identify data quality issues and pipeline failures. Build exploratory Dashboards/tools for data scientists and business partners that can be deployed relatively quickly and require low maintenance. Create streamlined process for geocoding internal data for matching to external sources. Collaborate with application owners to help define data collection requirements. Work with Data Scientists to understand requirements and help design systems and processes to deliver business value. Research new uses for existing data. Build infrastructure required for flexible and scalable extraction, transformation and loading of data from a wide variety of data sources.

Machine Learning Engineer

Stats Perform
Chicago
1 day 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:

Senior Data Scientist

Maven Wave Partners
Chicago
2 days 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. 

Business Intelligence Lead

Fetch Rewards
Chicago
2 days ago
+29
The Business Intelligence Lead will manage & support multiple client relationships and lead Insight & Analytics of long-term partnerships. The day to day responsibility will include seeking to understand core business objectives of partner companies to find data & analytic solutions within our capabilities. This position will lead as an architect, an analyst, and a storyteller to drive data-actionable insights enabling the execution of unique brand experiences within our platform and ultimately building 1:1 consumer connections for our partners. More specifically you will:

Data Engineer

Fetch Rewards
Chicago
2 days ago
+29
Your focus will be on developing pipeline frameworks, micro-services, and data solutions that can scale to match the company’s growth trajectory. We don't lock ourselves into particular technologies, but some we are currently using include AWS, Snowflake, Python, Spark, Lambda, CloudFormation, Docker, Kinesis, MongoDB, and Tableau. You’ll also get to join a team of talented individuals who will provide you with hands-on mentorship on topics ranging from engineering to DevOps to analytics. Success in this role requires the ability to analyze challenging problems, propose solutions under the guidance of experienced teammates, and implement designs within timeframes that keep up with business needs.

Senior Data Analyst, Growth

VSCO
Chicago
5 days ago
+32
VSCO is seeking a Senior Data Analyst to help accelerate our monetization efforts for our growing subscription business. You would be in a highly visible and strategic role that sits on our Data Science team and work closely with our Director of Engineering and Director of Product in our Chicago office. You will explore our user data to uncover levers for paid conversion and shape our monetization strategy. As VSCO continues on a high growth trajectory, the opportunity for impact in this role is immense.

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.

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
1 week 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
1 week 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.

Solutions Architect - Data

OCC
Chicago
2 weeks ago
+33
You will be part of the Data team, a diverse group of dedicated engineers who are very passionate about data. As the Data team member, you will be responsible for crafting and building large cloud-based data systems that will serve as the backbone for the enterprise data management and analytics capabilities. You will join the core team responsible for the design, development, and implementation. You will work closely with business and technology partners, internal and external. We will define system architecture, technology stack and its tactical implementation. You will help us take on unique technical challenges associated with handling large datasets and managing streaming data in public cloud and hybrid environments, build large and complex data pipelines, integrate data coming from diverse sources in different formats, implement continuous integration/continuous delivery pipelines, automate everything we can get our hands on, and be part of the API-first design principle implementation. You will have a rare and challenging opportunity to apply your technical skills, knowledge and experience, acquire new skills and grow with us.

Data Engineer

Farmer's Fridge
Chicago
3 weeks ago
+14
As a data engineer within Farmer’s Fridge’s data engineering team, you will be responsible for helping build out a scalable foundational data platform that will serve the diverse reporting, analytic and decision-making needs of the company. You will be working on a cloud-native, real-time and event-driven architecture with a strong focus on decoupled storage and compute. The foundation that you build will be instrumental in solving our most pressing needs as a business.

Data & Analytics Engineer

West Monroe Partners
Chicago
3 weeks ago
+20
The Data & Analytics Engineer within the Data & Analytics team will be responsible for supporting and developing the data & analytics platform at West Monroe Partners.  The engineer will provide development experience, escalated support, and operational maintenance to the firm’s growing application integration and reporting needs.  This includes the product lines for Microsoft SQL Server (BI stack), Power BI, and custom-built front-end visualizations.

Data and Cloud Migration Architect

Sr. Data Engineer (Consulting)

Data Science Sr. Developer

Senior Data Science Consultant

Load 1 more jobs5 jobs at West Monroe Partners

Lead Analyst (Risk Analysis)

OCC
Chicago
3 weeks ago
+33
The Enterprise Risk Management (“ERM”) department identifies, measures, monitors and reports risks and exposures across the organization through the Enterprise Risk Management Framework, and specifically through several risk programs, including but not limited to: Enterprise Risk Assessments, Risk Event Analysis, Scenario Analysis, Key Risk Indicators and Risk Reporting. The Lead Analyst will provide critical support to the team by assisting with risk assessments and applying aspects of the risk management framework across the process, risk, and control universe. Additionally, the Lead Analyst will help with the risk assessment program activities, coordinate with other control functions, and facilitate appropriate business unit risk governance to ensure alignment to OCC strategy and short-term objectives.

Lead Data Governance Tech Specialist

OCC
Chicago
3 weeks ago
+33
Lead the technical build of the Data Governance tool including code migrations, deployment, and release management. Build common business glossary and taxonomy including the metadata and lineage in alignment with business capabilities within the Data Governance tool suite. Build and lead the Business Intelligence functionality for the data governance program to include predictive and prescriptive analytics. Lead the metadata management and ingest additional data management assets, including custom data assets, ensuring data lineage and source to target data mapping. Create and deploy Data Quality Rules, perform metadata management, and build data lineage using IBM InfoSphere Information Server Suite. Design data quality dashboards using Cognos. Integrate metadata from multiple on-prem, cloud and Big Data/Hadoop sources into the data governance platform. Collaborate with the data platform team to install the data governance layer with AWS leading the transition to a cloud environment. Lead the continuous build and assessment of data profiling standards and analytics of data based on business need. Develop Data Quality Measurement Processes, and create and deploy business and data quality rules over the critical data elements (CDEs) identified based on the business requirements. Lead the initiative with data owners to fix data issues and develop a remediation plan to prevent future data issues. Design and implement Data Governance and Data Quality Dashboards to enable continuous monitoring and reporting. Write and review data governance policies, controls, procedures and standards. *This position qualifies for The Options Clearing Corporation’s Employee Referral Program.*

Senior Data Scientist

Root Insurance
Chicago
4 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.

Knowledge Manager

Strata Decision Technology
Chicago
1 month ago
+51
Streamline and maintain a knowledge management system in alignment with business needs and culture. Capture knowledge to improve decision making and learning. Establish and manage knowledge management processes. Champion knowledge management best practices. Guide and enforce quality standards for knowledge content. Discover and divest obsolete knowledge. Facilitate the organization of social networks and communities of practice to facilitate knowledge sharing and capture. Promote knowledge management programs and gain utilization of knowledge content. Create and evaluate performance metrics.

Healthcare Business Intelligence Manager

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

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 $73,484
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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