Mid Level Chicago Startup and Tech Jobs

9

Data Architect

Rally Health
Chicago
1 day ago
+25
Architect and lead technology of large scale and high traffic data warehouse platform. Conceive, design, develop and deploy the data architecture and data models from scratch. Collaborate across business units (BI, Product, Reporting) to develop data warehouse platform vision, strategy, and roadmap. Train and mentor the team in data modeling and data quality related processes and standards.

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.

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:

Data Engineer

GoHealth
Chicago
5 days ago
+39
GoHealth is looking for Data Engineers who will be responsible for the design, development, and delivery of data transformation tasks used in transforming data into a format that can be easily analyzed. We are seeking candidates who have experience in data analysis, collection, and optimization for the purpose of informing business decisions. The Data Engineer will work with other team members in owning data pipelines including execution, documentation, maintenance, and metadata management. In this role, you will also support the development of the data infrastructure necessary for full scale data science, predictive analytics and machine learning.

Senior Machine Learning Engineer

Analytics Warehouse Database Administrator

VillageMD
Chicago
1 week ago
+36
Manage SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems. Configure and maintain database servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security. Evaluate, advise and implement solutions related to data platform as we continue to grow. Apply data modeling techniques to ensure development and implementation support efforts meet integration and performance expectations Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end. Refine and automate regular processes, track issues, and document changes Assist developers with complex query tuning and schema refinement. Provide 24x7 support for critical production systems. Perform scheduled maintenance and support release deployment activities after hours. Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.

Information Architect

Enterprise Data Architect

Senior/Principal Data Engineer (Data Insights)

Rally Health
Chicago
1 week ago
+25
Manage the development of essential enterprise E2E Business Intelligence ETL solutions in Hadoop, sourcing data from HDFS, Kafka, Amazon Redshift, MongoDB or Postgres environments and using Python, Spark, Airflow and Hive. Architect and code solutions for large-scale ETL pipelines with data processing frameworks. Develop data solutions to promote applicable insights for population health management and positive .recommendations for ways individuals can improve their health and manage their costs. Assess current processes, recommend and implement approaches to handle increasing volumes of data. Communicate technical specifications to ensure that proper and optimized techniques, queries, data standards, and final outputs are understood and incorporated into data and analytics processes. Participate in business analysis activities to gather required reporting and dashboard requirements. Handle the product's or project’s conception, translate requirements, design initial technical specifications and develop data solutions. Develop reports and dashboards with data from potentially multiple data sources.

Database Administrator

Pareto Intelligence
Chicago
1 week ago
+59
The Ideal candidate is a person that really enjoys working with SQL and SQL Server and has deep experience with both. This person’s time would be a good split between head down writing new code and tuning updating existing logic, researching and implementing new features in SQL Server and other DB technologies, and discussing projects with Data Scientists and other engineers to deploy the right database structure and ETL processes.

Data Warehouse Architect/Modeler

Tempus
Chicago
2 weeks ago
+34
Manage an enterprise data model in collaboration with engineers, product managers, scientists, and operators to integrate structured data from source systems in multiple complex domains (clinical records, genomics, NGS lab, radiology, et al.). Author and maintain entity-relationship diagrams, data dictionaries, API specs, and data translation documentation at multiple levels of abstraction (conceptual, logical, physical) and across multiple data store technologies (relational, NoSQL). Advocate and educate engineering team members on data modeling rules, standards, and best practices. Evaluate completeness of source system data models and data by profiling partner data. Implement solutions to proactively monitor data quality with traceability to source systems.

Informatics Data Engineer

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.

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