ai engineer

business analyst Jobs in Chicago United States

business analyst

business intelligence engineer Jobs in Chicago United States

business intelligence engineer

data analyst Jobs in Chicago United States

data analyst

data analyst intern (advanced sql / python / data engineering focus) Jobs in Chicago United States

data engineer

Chicago Trading Company

<div>
 CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry&rsquo;s most challenging problems and take calculated risks in a collaborative environment.
 <br/>
 <br/>
 We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better.
 <br/>
 <br/>
 <strong>
  THE ROLE
  <br/>
  <br/>
 </strong>
 As an engineer for Analytics products, you will build and maintain the core data assets that power our Sigma and Dash Dashboards, used by every desk at CTC, from junior traders to executives. Because of this broad user base, the product&rsquo;s surface area is extensive. By ensuring timely feedback for traders, these products support data-driven decision-making, so it is important to understand the essential metrics traders use.
 <br/>
 <br/>
 <strong>
  <strong>
   WHAT YOU&rsquo;LL DO
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Be responsible for the quality, reliability, and overall health of our data pipelines.
  </li>
  <li>
   Work closely with Data Scientists, Traders and Quantitative Researchers (QTs) to understand their needs, and how they use our final data products.
  </li>
  <li>
   Detect source data quality issues that lead to incorrect downstream metrics, and partner with data owners to develop tools to proactively surface and resolve these issues.
  </li>
  <li>
   Assist colleagues in transitioning data pipelines and analytics tools to enterprise-wide standards, and improve the process for future adoptions.
  </li>
  <li>
   Collaborate with the broader data organization to improve our overall platform offering and functionality.
  </li>
  <li>
   Map business workflows to ETL jobs to help own the end-to-end data pipelines.
  </li>
  <li>
   Own and continuously improve the Metrics UI and related dashboards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   WHAT WE&rsquo;RE LOOKING FOR
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Proficiency in constructing and managing data-processing pipelines.
  </li>
  <li>
   Strong proficiency in SQL and object-oriented languages like Python.
  </li>
  <li>
   Strong interpersonal skills with the ability to work in a team environment
  </li>
  <li>
   Hands-on experience with ETL tools (e.g. PySpark) and large-scale, complex data transformations.
  </li>
  <li>
   Experience with lightweight UI or dashboarding frameworks like Dash is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Compensation
   <br/>
   <br/>
  </strong>
 </strong>
 The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual&rsquo;s skills, experience, qualifications, and firm performance.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $175,000&mdash;$200,000 USD
 <br/>
 <br/>
 Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need.
 <br/>
 <br/>
 <strong>
  <strong>
   Our Benefits
   <br/>
   <br/>
  </strong>
 </strong>
 We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, quarterly recharge days, and a variety of other benefits focused on providing the best employee experience.
 <br/>
 <br/>
 <em>
  (Disclaimer: interns and contractors are not eligible for benefits at CTC)
  <br/>
  <br/>
 </em>
 <strong>
  Our Commitment to Diversity, Equity and Inclusion
  <br/>
  <br/>
 </strong>
 At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
 <br/>
 <br/>
 If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at info@chicagotrading.com. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response.
 <br/>
 <br/>
 <strong>
  Use of Artificial Intelligence (AI)
  <br/>
  <br/>
 </strong>
 Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.
 <br/>
 <br/>
 <strong>
  <strong>
   Compensation
   <br/>
   <br/>
  </strong>
 </strong>
 The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual&rsquo;s skills, experience, qualifications, and firm performance.
</div>


Data Engineer

Selby Jennings

<div>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Design, develop, and support our Big Data platforms, including Kafka, Hadoop, Dremio, and related technologies.
  </li>
  <li>
   Build, deploy, and oversee robust data processing pipelines using Java, Python, Spark, and Flink.
  </li>
  <li>
   Collaborate with development teams on data modeling, ingestion approaches, and capacity planning.
  </li>
  <li>
   Work closely with users to maintain data accuracy, consistency, and availability across systems.
  </li>
  <li>
   Act as a Big Data subject-matter expert, providing guidance on technical questions and best practices.
  </li>
 </ul>
 <p>
  Required Skills &amp; Experience
 </p>
 <ul>
  <li>
   5+ years of experience in a mature data engineering environment.
  </li>
  <li>
   3+ years of hands‑on experience developing Kafka streaming applications or managing Kafka clusters.
  </li>
  <li>
   2+ years building applications or pipelines on Big Data architectures (S3, HDFS, Databricks, Iceberg, etc.).
  </li>
  <li>
   Proficiency with Apache Spark, Apache Flink, or comparable data processing tools.
  </li>
  <li>
   Strong programming capabilities in Java, Python, and SQL.
  </li>
  <li>
   Experience with widely used Python-based data science libraries.
  </li>
  <li>
   Practical knowledge of Kubernetes and Docker.
  </li>
  <li>
   Familiarity with monitoring tools such as Prometheus/Grafana, AlertManager, Alerta, and OpsGenie.
  </li>
  <li>
   Strong background in statistical analysis.
  </li>
  <li>
   Demonstrated ability to troubleshoot and perform root‑cause analysis.
  </li>
  <li>
   Experience writing Unix scripts (bash, Python, etc.).
  </li>
 </ul>
</div>


Senior Data Engineer

Northern Trust Corp.

<div><div>About Northern Trust:</div><div></div><div>
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.</div><div></div><div>
Northern Trust is proud to provide innovative financial services and guidance to the world&rsquo;s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world&rsquo;s most sophisticated clients using leading technology and exceptional service.</div><div></div><div>
Sr Lead Data Engineer</div><div></div><div>
Key skills required for the role:</div><ul><li>
Expertise in designing data driven solution on Snowflake for complex business needs.</li><li>
Investment Management or Asset Management experience recommended.</li><li>
Design the database, data models, ETL processes, and data warehouse applications through the use of best practices, tools and patterns.</li><li>
Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design.</li><li>
Bachelor&rsquo;s degree in Engineering, Economics, Business or Finance or equivalent experience.</li><li>
Intellectual curiosity, inclination for independent and self-directed work, and attention to detail.</li><li>
Professional experience driving change, transformation, and process improvement initiatives.</li><li>
Manage relationships with stakeholders and executive leadership to achieve business outcomes</li><li>
Understanding of data security, cyber-security and PII management</li><li>
Deep understanding of relational and NoSQL data stores, methods and approaches.</li><li>
Advanced data analytics using ML, AI and GenAI</li></ul><div></div><div>
Roles and Responsibilities:</div><ul><li>
Manage relationships with all stakeholders, with a focus on setting expectations and maintaining ongoing client satisfaction through effective project management and a strong commitment to customer service.</li><li>
Evangelize data strategist working through design, documentation, review and cross team negotiations to support strategic business and technology goals.</li><li>
Displays thought leadership in pursuit of modern architecture principals and technology</li><li>
Leads technology proof of concepts to ensure feasibility of architecture solutions.</li><li>
Provides architecture direction for engineers in support of a technical pattern.</li><li>
Drives continuous technology transformation to minimize technical debt. Continuously improve efficiency and effectiveness of the architecture.</li><li>
Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise.</li><li>
Participates in defining target state technology architecture and roadmaps. Ensures alignment of IT initiatives with the target state.</li><li>
Contribute to a fast-paced Agile team and participate in multiple aspects of planning, documentation, execution, testing and launch of projects</li><li>
Interface with global teams to collaborative work on business deliveries.</li><li>
Strong grasp of value creation and business capability models for large scale technology platforms.</li></ul><div></div><div>
Experience :</div><ul><li>
Bachelor&rsquo;s degree in Computer Science or a related discipline is required.</li><li>
Seasoned expert with technical and business knowledge and functional expertise that has been developed over several years.</li><li>
Experience in systems analysis and application program development.</li><li>
Experience with project feasibility, definition requirements, design and/or project leadership.</li><li>
Experience with various technical programming languages, and phase report studies is required.</li></ul><div></div><div>
Salary Range:</div>
$114,500 - 194,700 USD<div></div><div><i>
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life &amp; accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.</i></div><div></div><div>
Working with Us:</div><div></div><div>
As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.</div><div></div><div>
Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.</div><div></div><div>
We&rsquo;d love to learn more about how your interests and experience could be a fit with one of the world&rsquo;s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater</div><div></div><div>
Reasonable accommodation</div><div></div><div><br>
Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <div>MyHRHelp@ntrs.com</div>.</div><div><br>
<br>
We hope you&rsquo;re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.</div><div></div><div>
Apply today and talk to us about your flexible working requirements and together we can achieve greater.</div></div>

Sr Lead Data Engineer

Microsoft

<div><b>Overview</b><p><br>
We are hiring a Data Engineer to support the Global Talent Intelligence team. The Global Talent Intelligence (GTI) team sits at the intersection of talent, technology, and strategy&mdash;partnering with senior leaders across Microsoft to anticipate market shifts and inform high‑impact business decisions. At the core of this work is a purpose‑built talent data engine that transforms vast, complex external signals into clear, actionable intelligence.</p><p>
As a<b> </b>Data Engineer on GTI, you will drive the next iteration of design and scale for the infrastructure that powers how Microsoft relies on talent movement as a leading indicator of market movement. This role goes beyond traditional data engineering: you will build curated pipelines, models, and power interfaces that enable GTI to move from manual analysis to proactive and predictive insights&mdash;unlocking earlier visibility into where skills are emerging, where competition is intensifying, and where strategic intervention matters most.</p><p>
Our GTI data engineer works across an unusually rich and diverse signal ecosystem, synthesizing supply and demand dynamics, competitor and investment signals, innovation indicators, emerging talent and skills, and geo‑specific workforce risk factors. These signals power tools and intelligence products that directly influence executive decision‑making&mdash;from workforce planning and site strategy to critical skill investments and long‑term growth bets.This is a highly collaborative role, partnering closely with talent intelligence consultants, analysts, and business stakeholders to ensure data is not only technically sound, but strategically meaningful&mdash;moving insights into action.</p><p><b>
Success in this role requires:</b></p><ul><li>
Strong data engineering fundamentals, paired with modern AI adoption and automation practices</li><li>
A product mindset for designing systems and interfaces that scale, evolve, and drive action</li><li>
Curiosity about how talent dynamics shape markets, strategy, and competitive advantage</li><li>
The ability to create clarity from complexity and translate insight into direction</li><li>
Dedication to building secure, compliant, and validated data systems</li><li>
Creativity and discipline in designing for optimization, reliability, and scale</li></ul><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><b><br>
Responsibilities</b><br>
<div><div><b>
Compliance</b></div><div><div><ul><li>
Anticipates the need for data governance and designs data modeling and data handling procedures, with direct support and partnership with Corporate, External, and Legal Affairs (CELA), to ensure compliance with applicable laws and policies across all aspects of the development process.</li><li>
Tags data based on categorization (e.g., personally identifiable information [PII], pseudo-anonymized, financial).</li><li>
Documents data type, build data dictionary, classifications, and lineage to ensure traceability.</li><li>
Governs accessibility of data within assigned data pipelines.</li><li>
Provides guidance on contributions to the data glossary to document the origin, usage, and format of data for each program.</li><li>
Independently implements data governance and privilege of least access practices leveraging security tools.</li><li>
Builds responsible AI-compliant data products and/or applications.</li></ul></div></div></div><div><div><b>
Data Management and Transformation</b></div><div><div><ul><li>
Plans and creates efficient techniques and operations (e.g., inserting, aggregating, joining) to transform raw data into a form (e.g., dimensional data model) that is compatible with downstream data consumers, databases, and formats that support applications, analytics and reporting.</li><li>
Independently uses software, query languages, and computing tools (e.g., cloud-based) to transform raw data across end-to-end pipelines.</li><li>
Evaluates data to ensure data quality and completeness using queries, data wrangling, and statistical techniques.</li><li>
Merges data into distributed systems, products, or tools for further processing.</li><li>
Identifies opportunities to leverage and contribute to the development of data tools that are used to transform, manage, and access data, scaling with efficiency and reduced time to new data insights.</li><li>
Writes, implements, and validates code to test storage and availability of data platforms and drives the implementation of sustainable design patterns to make data platforms more usable and robust to failure and change.</li><li>
Analyzes relevant data sources that allow others to develop insights into data architecture designs or solution fixes.</li><li>
Identifies data sources and builds code to extract raw data from identified upstream sources using query languages, tools, or application programming interfaces (APIs) while ensuring quality, scale, and reliability of the data across several pipeline components.</li><li>
Contributes to the code review process by providing feedback and suggestions for implementation. Uses knowledge of the end-to-end business case to implement orchestration techniques that automate data extraction logic across multiple sources of data.</li><li>
Leverages data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across a data pipeline, consistent with the service level agreement (SLA).</li><li>
Offers feedback on methods and tools used to track and maintain data source control and versioning.</li><li>
Applies deep knowledge of data to validate that the correct data is ingested and that the data is applied accurately across the pipeline.</li><li>
Creates a data design document.</li></ul></div></div></div><div><div><b>
Data Requirements and Modeling</b></div><div><div><ul><li>
Leads the design of a data model that is appropriate for the project and prepares design specification documents to model the flow and storage of data for a data pipeline.</li><li>
Designs assigned components of the data model for a functional area of a project, while accounting for scale, and industry standards and best practices (e.g., data mesh).</li><li>
Partners with stakeholders (e.g., business partners, Data Science Specialists) to understand the business domain so as to make iterative improvements to design specifications, data models, or data schemas, so that data is easy to connect, ingest, has a clear lineage, and the data model is responsive to work with.</li><li>
Considers tradeoffs between analytical requirements with compute/storage consumption for data and anticipates cost that could be influenced by the cadence of data extraction, transformation, and loading into moderately complex data products or datasets in cloud and local environments.</li><li>
Demonstrates an advanced understanding of security, performance, and costs associated with data that are used to assess the total cost of ownership (TOC).</li><li>
Collaborates with appropriate stakeholders across teams and escalates concerns around data requirements by assessing and conducting feature estimation.</li><li>
Assesses data costs, access, usage, use cases, dependencies across products, and availability for business or customer scenarios related to one or more product features.</li><li>
Informs clients on feasibility of data needs and suggests transformations or strategies to acquire data if requirements cannot be met.</li><li>
Negotiates agreements with partners and system owners to align on project delivery, data ownership between both parties, and the shape and cadence of data extraction for one or more features.</li><li>
Proposes new data metrics or measures to assess data across varied service lines.</li><li>
Defines data source contracts (e.g., nature of data, data schemas, data latency, data availability, data privacy, ethical use of data).</li></ul></div></div></div><div><div><b>
Engineering Fundamentals</b></div><div><div><ul><li>
Performs root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement solutions that minimize points of failure.</li><li>
Implements and monitors self-healing processes across multiple product features to prevent issues from recurring in the future and retain data quality and optimal performance (e.g., latency, cost) throughout the data lifecycle.</li><li>
Uses cost analysis to drive product/program level solutions that reduce budgetary risks.</li><li>
Documents the problem and associated solutions through postmortem reports and shares insights with team and the customer.</li><li>
Provides data-based insights into the health of data products owned by the team according to SLAs across multiple features.</li><li>
Implements and practices both agile and data operations (DataOps) practices.</li><li>
Maintains involvement with, and awareness of current and upcoming data engineering practices (e.g., tools, technology) through Microsoft's internal data community with the purpose of connecting into a data mesh.</li><li>
Writes code to implement performance monitoring protocols across data pipelines.</li><li>
Builds visualizations and smart aggregations (e.g., advanced statistics) to monitor issues with patterns in data quality and pipeline health that could threaten pipeline performance.</li><li>
Develops and updates troubleshooting guides (TSGs) and operating procedures for reviewing, addressing, and/or fixing advanced problems/anomalies flagged by automated testing.</li><li>
Supports and monitors platforms, analyzing telemetry data to understand the health of the systems and takes proactive steps for live site improvement.</li></ul><div><b>
Other</b></div><ul><li>
Embody our culture and values</li></ul></div></div></div><br>
<b>
Qualifications</b><p><b><br>
Required/minimum qualifications</b></p><div><ul><li>
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering<ul><li>
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering</li><li>
OR equivalent experience.</li></ul></li></ul></div><div><b>
Additional or preferred qualifications</b><div><ul><li>
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering<ul><li>
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering</li><li>
OR equivalent experience.</li></ul></li></ul></div><div><ul><li>
2+ years experience with data governance, data compliance and/or data security.</li></ul></div></div><br>
<br>
<br>
<p>Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Data Engineer, Global Talent Intelligence

Roblox

<div>Chicago, Illinois, United StatesEngineeringID: 5793</div>
<br><p></p><div><div><div><p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences&ndash; all created by our global community of developers and creators.
</p><p>At Roblox, we&rsquo;re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.<b> </b>We&rsquo;re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
</p><p>A career at Roblox means you&rsquo;ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p></div><p>
As a <b>Senior Data Center Engineer</b>, you'll help us scale our Core/Edge Data Centers and hardware infrastructure at a time of incredible growth for our business. At Roblox, you'll have boundless opportunities to shape the future of the Imagination Platform&trade; and demonstrate your passion for delivering thoughtful solutions in front of a global audience. If you know what it takes to build and operate hardware infrastructure that can sustain millions of concurrent players year-round and you take play as seriously as we do, you'll fit right into our highly experienced and ever-expanding engineering team. You will report to the Technical Lead Data Center Engineer.</p>
<p><b>
You will:</b></p>
<ul>
<li><b>Develop and maintain the Core/Edge Data Center and hardware infrastructure</b> to meet the large scale and real-time requirements of our Imagination Platform&trade; to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental life cycles.</li>
<li><b>Own efforts</b> to track and mitigate systemic issues preventing hosts from returning to service.</li>
<li><b>Identify and solve critical </b>problems and prevent them from re-occurring via root cause<b> analysis and giving recommendations to improve automation.</b></li>
<li><b>Coordinate with peers</b> to establish and uphold best practices related to breakfix, install, decom and all other aspects of datacenter operations.</li>
<li><b>Create, influence, and improve</b> the development platform, infrastructure, standards (Runbooks, SOPs, MOPs), and methods to ensure the goal of scalability and high availability can be achieved.</li>
<li><b>Leverage partnerships across teams</b> to automate maintenance actions which do not require physical intervention.</li>
<li><b>Encourage </b>an environment of continuous improvement and learning among engineering staff.</li>
<li><b>Assist </b>in coordinating vendors and ensuring quality of outsourced projects</li>
<li><b>Participate </b>in the on-call rotation for our critical infrastructure.</li>
<li><b>Travel: </b>International and Domestic travel may be required 25% of the time and up to 50% of time depending on needs of the business.</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>At minimum 6+ years of experience working in large-scale Data Center Infrastructure environments and experience planning, executing, and documenting repairs in the server and networking domains.</li>
<li>Extensive experience installing, monitoring, and maintaining server and network equipment. This includes brand new server and network provisioning.</li>
<li>In-depth knowledge of data center environments, servers, and network equipment.</li>
<li>Proven experience executing on multiple tasks simultaneously.</li>
<li>You have installed various equipment that commonly resides in the data center environment and are able to lift 75 pounds occasionally.</li>
</ul>
<p><b>You are:</b></p>
<ul>
<li>Someone who is ready for action wielding a wealth of server and network hardware troubleshooting knowledge to support Roblox&rsquo;s systems.</li>
<li>Excited about getting in front of complex problems, and can effectively organize your work to overcome emergent high-impact issues.</li>
<li>Someone who enjoys building processes and procedures for the day to execute our workload and for developing new capabilities as a team.</li>
<li>Someone who asks the right questions to solve issues within your expertise and you use data to test your theories. You are able to formulate and identify problems, generate and evaluate a variety of solutions (some of which are novel), and implement the best one(s).</li>
<li>Someone who is committed to demonstrating professionalism in all interactions with partners both inside and outside Roblox to ensure continued success in cross-functional initiatives. You are able to foster trust and uphold the reputation of the team and company.</li>
</ul><div><div><div><p>
For roles that are based at our data center in Elk Grove Village, IL: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <b>this page</b>.</p></div><div>
Annual Salary Range</div><div>
$143,870&mdash;$174,540 USD</div></div></div><div><p>
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p>
<p>
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.</p></div></div></div>

Senior Data Center Engineer

CapTech Consulting

<div><b>Company Description</b><p><br>
CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.</p><br>
<div></div>
<b>
Job Description</b><p><br>
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.</p><p><b><i>
Specific responsibilities for the Lead Machine Learning Engineer position include:
</i></b></p><ul><li>Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs</li><li>
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.</li><li>
Deconstructing client needs into data-driven processes/models and analytical measures.</li><li>
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).</li><li>
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).</li><li>
Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.</li><li>
Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.</li></ul><br>
<div></div>
<b>
Qualifications</b><br>
<ul><li>
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms</li><li>
Bachelor's degree or equivalent combination of education and experience.</li><li>
Experience providing technical leadership and mentoring other engineers in data engineering space</li><li>
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.</li><li>
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.</li><li>
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.</li><li>
Proficiency with containerization (e.g., Docker) and microservices.</li><li>
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS</li><li>
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.</li><li>
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)</li><li>
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).</li><li>
Knowledge of DevOps and automation best practices.</li><li>
Knowledge of statistics and statistical modeling methods.</li><li>
Knowledge of model management and model versioning best practices.</li><li>
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting</li><li>
Experience with prompt engineering, MCP and RAG, and agentic AI architectures</li><li>
Strong understanding of conversational UX and prompt evaluation metrics</li><li>
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)</li><li>
Experience with multi-agent orchestration</li></ul><br>
<div></div>
<b>
Additional Information</b><p><br>
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.</p><ul><li>
Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths</li><li>
Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs</li><li>
Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care</li><li>
Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more</li><li>
Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations</li><li>
Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.</li><li>
401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness</li></ul><p>
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.</p><p>
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $150,000 - $200,000.</p><p>
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.</p></div><p></p>

Lead Machine Learning / Data Science Engineer

Reverb

<div>
 <strong>
  About Reverb
  <br/>
  <br/>
 </strong>
 Reverb is the largest online marketplace dedicated to buying and selling new, used, and vintage musical instruments. Since launching in 2013, Reverb has grown into a vibrant community of buyers and sellers all over the world. By focusing on inspiring content, price transparency, musician-focused e-commerce tools, a music-savvy customer service team, and more, Reverb has created an online destination where the global music community can connect over the perfect piece of music gear.
 <br/>
 <br/>
 We love working at Reverb because we&rsquo;re making the world more musical&mdash;through our marketplace and through Reverb Gives, which provides musical instruments to youth music education programs. We were named a &ldquo;Best Place to Work&rdquo; by Built in Chicago and a &ldquo;Top Workplace'' by the Chicago Tribune.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Our Engineering organization takes pride in crafting extraordinary software in service of our mission. We take an active role in product ownership by measuring the impact of features we release, collaborating with internal partners, fixing bugs, and ultimately building products and features that have a measurable impact on the business. Our team works together, pairing on design and coding patterns, peer-reviewing code, and elevating other developers through continuous mentorship and learning opportunities.
 <br/>
 <br/>
 As part of Reverb&rsquo;s Data Engineering team, you&rsquo;ll help build a platform to enable confident, informed decisions and products that scale along with our business. We are a small, forward-thinking team looking for creative engineers who can face a wide range of problems, researching and implementing innovative solutions that make the most of our data.
 <br/>
 <br/>
 <em>
  <em>
   This is a full-time, hybrid position reporting to the
  </em>
 </em>
 <em>
  <em>
   Senior Engineering Manager
  </em>
 </em>
 <em>
  <em>
   of our Data Engineering team.
  </em>
 </em>
 <em>
  <em>
   Hybrid team members are expected to work from our Chicago office 1-3 times per week, depending on team norms.
   <br/>
   <br/>
  </em>
 </em>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Maintain and improve our data pipelines and warehouse to ensure our users have timely access to accurate data. Our current stack uses Python, Airflow, Redshift, dbt, Looker, and more.
  </li>
  <li>
   Actively contribute to building out our machine learning platform by partnering with our Data Science, Search Science and Product teams who are focused on launching ML models for search, recommendations, and other areas.
  </li>
  <li>
   Collaborate with data analysts and other internal partners across the organization to find exciting insights within our data and make them available to our product teams.
  </li>
  <li>
   Build and share a deep understanding of your chosen languages, framework, or other area of expertise. Push yourself and the team to be continuously learning and growing.
  </li>
  <li>
   Demonstrate a sense of ownership for your work, including understanding requirements, crafting solutions, and building robust testing plans to ensure the highest data quality.
  </li>
  <li>
   Participate in pairing sessions, code reviews and other team habits.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 We use a wide variety of languages, frameworks, and databases, so many skills and experiences would make you a good fit for our team, including:
 <br/>
 <br/>
 <ul>
  <li>
   Python in data engineering, web and/or ML applications.
  </li>
  <li>
   ETL/ELT pipelines and data warehousing.
  </li>
  <li>
   Relational databases, including data modeling, performance, optimizations, and crafting SQL queries.
  </li>
  <li>
   Understanding of different types of data storage and their trade-offs.
  </li>
  <li>
   Experience in machine learning techniques, pipelines and applications.
  </li>
  <li>
   Ability to collaborate with engineering peers, data scientists, data analysts, and other business and product partners.
  </li>
  <li>
   Familiarity with AWS infrastructure.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Remote-eligible roles (as indicated in the location header of each job description) are available in all U.S. states except Alaska and Hawaii. Remote roles are currently only available within the U.S. unless otherwise specified in the specific job description.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Reverb offers a comprehensive total rewards package that combines base, bonus, and an array of benefits. Some of our key benefits include but are not limited to the following:
 <br/>
 <br/>
 <ul>
  <li>
   100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender affirming care.
  </li>
  <li>
   Life, AD&amp;D, and supplemental long-and short-term disability insurance
  </li>
  <li>
   A matching 401(k)
  </li>
  <li>
   A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidays
  </li>
  <li>
   Professional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft
  </li>
  <li>
   18 weeks of gender-neutral parental leave for the birth or adoption of a child
  </li>
  <li>
   Up to $25,000 reimbursement of adoption and/or surrogacy-related expenses
  </li>
  <li>
   Paid sabbatical program
  </li>
  <li>
   Annual work/life stipend
  </li>
  <li>
   Ways to give back to your community through volunteer time off
   <br/>
   <br/>
  </li>
 </ul>
 At Reverb, we believe that an equitable and inclusive workplace where people from all backgrounds can come, stay and thrive makes us a more relevant and resilient company. Reverb is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know.
 <br/>
 <br/>
 We know that impostor syndrome and the confidence gap are real. Please do not hesitate to apply!
 <br/>
 <br/>
 <strong>
  The Pay Range For This Role Is
  <br/>
  <br/>
 </strong>
 115,000 - 149,000 USD per year (US US-Chi)
</div>


Software Engineer, Data

Explore 325+ Data engineer in Chicago United States this March. Find roles across top companies and apply now to boost your career.