Mid Level Chicago Startup and Tech Jobs

18

Senior Oracle Database Administrator

Discover
North Suburbs
1 day ago
+43
Responsible for the activities related to database administration and systems development support. Under direct supervision analyzes the use of new techniques/products, aiming at the best solution for the system. Implement the physical model of the database within established standards, ensuring the best performance.

Lead Data Engineer

Lead Data Engineer

Senior Principal Data Strategy Analyst

Principal Data Solutions Architect

Principal Data Governance Consultant

Lead Data Solutions Architect

Load 3 more jobs7 jobs at Discover

Data Engineer

Kalderos
Chicago
4 days 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.

Cloud Data Architect

Productive Edge
Chicago
1 week 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 week 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.

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:

Senior Data Scientist

Maven Wave Partners
Chicago
1 week 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

SPINS LLC
Chicago
1 week ago
+25
Develop and deploy applications for internal use, primarily within quality and operations teams. Strong emphasis on data pipeline automation for continuous data quality audits and alerts. Pair with (XP) and share best practices with engineering and quality teams. Add to our collection of Jupyter notebooks to use for data quality testing. Improve our current quality processes by finding new ways to automate manual tasks.

Data Architect

3Cloud
Chicago
2 weeks ago
+25
Cloud Data Architect drives customer initiatives leveraging Azure data and analytics services (e.g., ranging from SQL Server to SQL Database and SQL Data Warehouse to Cortana Intelligence Suite) to solve the biggest and most complex data challenges faced by enterprise customers. The CDA is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for Azure data services. CDAs own the Azure technical customer engagement including: architectural design sessions, implementation projects and/or proofs of concept and pilots.

Data Scientist - POS Data

SPINS LLC
Chicago
3 weeks ago
+25
Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information. Collaborate with our data scientists on engineering predictive features from our product intelligence database. Prototype, implement, and optimize data new pipelines and architectures that can transform our data to impactful insights. Create robust daily, weekly, or monthly automated processes to deliver impactful work. Create innovative and efficient techniques that better solve the problems we are working on. Assess risks to proposed analytics solutions based on quality of existing data sources and actively develop QA procedures to mitigate those risks. Tailor our syndicated data to retail and CPG business needs in a robust and scalable way. Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.

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.

Lead Analyst (Risk Analysis)

OCC
Chicago
1 month 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
1 month 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.*

Database Developer

Morningstar
Chicago
1 month ago
+45
Design and document logical and physical database models to cater to a variety of business requirements.  Develop advanced T-SQL code for implementing application business logic using stored procedures, views, and functions. Collaborate with other Database Administrators and Applications/ Business teams to support enterprise applications; develop data warehouse objects and processes for supporting business intelligence, including ETL, fact/dimension tables.  Design and implement reports and dashboards utilizing SSRS as required; assist in the migration of several databases and associated SSIS routines to a new set of SQL Servers. Create standards for SQL Server database administration that supports the use of optimal database server resources and performance.  Implement automated database maintenance plans and backup routines using standard methodologies.  Monitor database/ application growth and server resources to ensure optimum performance and availability. Routinely evaluate/ implement improved methods or processes for administering and maintaining databases and servers.

Lead Quantitative Analyst

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.

Data Scientist

Maven Wave Partners
Chicago
2 months 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. 

Lead Information Governance and Privacy Analyst

OCC
Chicago
4 months ago
+33
The Lead Information Governance and Privacy Analyst is responsible for supporting the development and implementation of OCC’s information governance, data protection, and privacy program. This includes supporting the development of strategies, policies, and procedures related to the governance and protection of data throughout its lifecycle. In addition, the role will work with stakeholders to define the information governance, data protection, and privacy requirements for external organizations with whom OCC has a business need to share information; will facilitate compliance with the identified requirements to control risk; will represent the program to internal and external stakeholders; and will support the development and implementation of training and awareness programs.    

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 + 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 $73,419
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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