Mid Level Chicago Startup and Tech Jobs

39

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

Analytics Warehouse Database Administrator

VillageMD
Chicago
3 days 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 Analyst, Healthcare Analytics

Database Administrator

Pareto Intelligence
Chicago
5 days 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.

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.

Data Scientist - POS Data

SPINS LLC
Chicago
1 week 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.

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:

Solutions Architect - Data

OCC
Chicago
1 week 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.

Arity-Data Steward Manager

Arity
Chicago
1 week ago
+22
The Data Governance and Quality team works across the Enterprise to manage the strategy, integration and governance of data at Arity. Members of Arity's Data Governance and Quality team have responsibility for ensuring consistency and clarity of our data across our product portfolio. The team works very closely with product partners to convert business needs into data solutions that power our businesses. The Lead Data Steward is responsible for leading a team of Data Stewards that manage and govern core internal and external analytical data for the organization. In this role, you will help establish, train, and execute capabilities that will advance the Data Stewardship program. Through this work you will provide 'fit for use' data to enable timely generation of sound end-to-end business insight by ensuring our data is timely, accurate, complete, and most importantly, 'fit for purpose' for our customers' use cases.

Data & Analytics Engineer

West Monroe Partners
Chicago
2 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

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.

Lead Data Engineer

Discover
North Suburbs
2 weeks ago
+43
Designs and develops complex and critical data projects.Designs and develops real-time processing solutions.Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem.Designs and develops data ingestion frameworks, leveraging open-source tools and data-processing frameworks.Develops, implements, and supports application codes and analytical models.

Lead Data Engineer

Senior Principal Data Strategy Analyst

Principal Data Solutions Architect

Principal Data Governance Consultant

Lead Cloud Engineer- Data

Lead Data Solutions Architect

Load 3 more jobs7 jobs at Discover

Lead Analyst (Risk Analysis)

OCC
Chicago
2 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
2 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.*

Data Engineer

SPINS LLC
Chicago
3 weeks 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 Engineer

Trexin Consulting
Chicago
3 weeks ago
+20
The Sr Data Engineer will be a part of the team working on data analysis projects relating to healthcare medical records. The candidate will analyze and evaluate large quantities of data in relational databases and unstructured forms of data, effectively balancing quality, availability, timeliness, and cost factors. Leveraging data analysis skills, the candidate will create innovative approaches to answer our clients’ most relevant questions.

Data Architect

Trexin Consulting
Chicago
3 weeks ago
+20
Strong communication skills: ability to be well-organized, clear and concise in conversations and written communications. Ability to articulate tradeoffs, strengths and weaknesses of various architectural patterns to determine the best framework or pattern to use given various use cases and requirements constraints (e.g., required response times, nature of batch vs. real-time flows). Knowledge of mistakes commonly made by less-experienced architects when first implementing architectures Hands on experience planning migration of legacy data sources Ability to create clear, expert-level architectural diagrams using Visio, and clear narrative presentations using PowerPoint.

Research Lead (The Studio)

dscout
Chicago
3 weeks ago
+46
We are looking for a Research Lead to join our Studio Team. On our Studio Team, you take on the most challenging projects our clients have: investigating emerging trends, clarifying business opportunities, testing the boundaries of iconic brands, and vetting new-to-the-world products and services, all while pushing dscout’s own products to the limit. You can think of dscout’s Studio Team as a powerful qualitative research consulting team. Research Leads are every project’s center point; the driving force behind research design, analysis, synthesis, and storytelling; and the main point of contact for clients and team members. You are a seasoned researcher, relying on both your experience and skills to ensure the richest insights. You are a poised professional, able to handle meetings and clients with ease. You are also a master at project management with a specific focus on ensuring the team remains focused and engaged no matter the situation. Finally, you are comfortable with rigorous analysis - you love to dive deep into the data to unearth meaningful insights for your clients. You conclude your research projects with powerful, well-designed deliverables that communicate a clear story (in a format that clients actually want to look at!). If this sounds like you and you’re excited for the challenge, we would love for you to apply today!

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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