Mid Level Chicago Startup and Tech Jobs

13

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.

Data Engineer

CNA
Chicago
5 days 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
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:

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 Engineer (Big Data)

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.

Solutions Architect - Data

OCC
Chicago
3 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 & 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

Lead Data Governance Tech Specialist

OCC
Chicago
4 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 Business Intelligence Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead teams to design and architect robust data and analytical solutions for our clients. Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data-centric solutions for clients. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Senior Data Engineering Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead teams to design and architect robust data and analytical solutions for our clients. Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data-centric solutions for clients. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Cloud Data Engineer

Maven Wave Partners
Chicago
2 months 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.

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.

Chicago Startup GuidesSEE ALL

LOCAL GUIDE
Best Companies to Work for in Chicago
LOCAL GUIDE
Best Software Engineer Jobs in Chicago
LOCAL GUIDE
Coolest Offices in Chicago Tech
LOCAL GUIDE
Best Sales Jobs in Chicago
LOCAL GUIDE
Best Perks at Chicago Tech Companies
LOCAL GUIDE
Your Guide to Healthtech in Chicago
LOCAL GUIDE
Best Data Science Jobs in Chicago
LOCAL GUIDE
Best Marketing Jobs in Chicago
LOCAL GUIDE
Best Design Jobs in Chicago
LOCAL GUIDE
Best Senior Software Engineer Jobs in Chicago
LOCAL GUIDE
Best Sales Manager Jobs in Chicago
LOCAL GUIDE
Best Account Manager Jobs in Chicago