Data Engineer Jobs in Chicago, USA

Above Lending is a next-generation financial services company helping everyday Americans break the cycle of high-cost debt and move toward a stronger financial future. Through customized lending solutions, competitive rates, and personalized support, our mission is to simplify the lending process and help our clients achieve financial well-being. We are committed to making credit more affordable and accessible; backed by a culture grounded in compliance and ethics, and technology built around the people we serve. We are growing quickly, and we are looking for new collaborators to help us reach the next level. If you want to join a forward-thinking, rapidly growing organization where helping people is the number one goal, we want to hear from you. We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer. This is a deeply hands-on role. You'll spend the majority of your time writing SQL, building pipelines, and working directly with raw data. Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as the ability to analyze data - spotting patterns, questioning results, and understanding what the numbers actually mean. You'll take ambiguous problems, break them down, and deliver reliable, scalable solutions without step-by-step guidance. Strong candidates will be comfortable with messy source data, incomplete documentation, and figuring things out. If you need heavy direction or clean inputs to do your best work, this role likely isn't the right fit. This is a hybrid role based in Chicago, IL. We are not hiring remote candidates at this time. 

<div class="content-intro"><p>fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.</p> <p>With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: <strong>fairlife® ultra-filtered milk</strong>; <strong>Core Power®</strong> High Protein Shakes, a sports nutrition drink to support post-workout recovery; <strong>fairlife® nutrition plan™</strong>, a nutrition shake to support the journey to better health.</p> <p>A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.</p> <p>To learn more about fairlife and its complete line of products, please visit <a href="http://www.fairlife.com">fairlife.com</a>.</p></div><p><strong>job purpose</strong>: </p> <p><span class="TextRun SCXW192612571 BCX8" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW192612571 BCX8">The Sr. Data Engineer will play a key role in delivering </span><span class="NormalTextRun SCXW192612571 BCX8">fairlife's</span><span class="NormalTextRun SCXW192612571 BCX8"> ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role designs, builds, and operates the pipelines, data models, and reusable frameworks that turn data from across our enterprise and factories into trusted, analytics-ready products in our </span><span class="NormalTextRun SCXW192612571 BCX8">lakehouse</span><span class="NormalTextRun SCXW192612571 BCX8">. We are looking for an engineer with natural intellectual curiosity who takes genuine pride in the quality of their designs, treats solution architecture as a core craft of data engineering, and is energized by the new use cases the age of AI presents, helping make our data platform reliable for people and legible to AI systems alike.</span></span><span class="EOP Selected SCXW192612571 BCX8" data-ccp-props="{}"> </span></p> <p><strong>responsibilities: </strong></p> <ul> <li><span data-contrast="auto">Design, implement, and operationalize batch and streaming data pipelines that integrate enterprise and factory data sources (ERP, IIoT, SaaS applications, APIs) into our lakehouses</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":278}"> </span></li> <li><span data-contrast="auto">Support development

<h2><strong><span data-contrast="auto">The Role</span></strong><span data-ccp-props="{}"> </span></h2> <p><span class="TextRun SCXW70664788 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW70664788 BCX0">You’ll</span><span class="NormalTextRun SCXW70664788 BCX0"> sit within the Data</span><span class="NormalTextRun SCXW70664788 BCX0"> &</span><span class="NormalTextRun SCXW70664788 BCX0"> Analytics organization, working at the foundation of everything we build with data. </span><span class="NormalTextRun SCXW70664788 BCX0">You’ll</span><span class="NormalTextRun SCXW70664788 BCX0"> design and </span><span class="NormalTextRun SCXW70664788 BCX0">maintain</span><span class="NormalTextRun SCXW70664788 BCX0"> the pipelines, infrastructure, and systems that make clean, reliable data possible</span><span class="NormalTextRun SCXW70664788 BCX0"> </span><span class="NormalTextRun SCXW70664788 BCX0">so that analysts, engineers, and business stakeholders can trust what </span><span class="NormalTextRun SCXW70664788 BCX0">they’re</span><span class="NormalTextRun SCXW70664788 BCX0"> looking at. You </span><span class="NormalTextRun SCXW70664788 BCX0">won’t</span><span class="NormalTextRun SCXW70664788 BCX0"> just move data; </span><span class="NormalTextRun SCXW70664788 BCX0">you’ll</span><span class="NormalTextRun SCXW70664788 BCX0"> shape how the company accesses it. </span></span></p> <p><span class="TextRun SCXW70664788 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW70664788 BCX0"><strong>This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North. </strong></span></span></p> <h2><span data-contrast="none">Responsibilities</span><span data-ccp-props="{"201341983":0,"335559685":-5,"335559739":160,"335559740":240,"335559991":10}"> </span></h2> <ul> <li><span data-contrast="auto">Build, implement, and maintain robust ETL/ELT pipelines that power reliable, timely data delivery across the organization</span><span data-ccp-props="{&a

<p><strong><span data-contrast="none"><span data-ccp-parastyle="paragraph" data-ccp-parastyle-defn="{"ObjectId":"aaed607e-c2a3-5841-9fb4-41037bfa0faf|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Times New Roman",469777842,"Times New Roman",469777843,"Times New Roman",469777844,"Times New Roman",201341986,"1",469769226,"Times New Roman",268442635,"24",469775450,"paragraph",201340122,"2",134233614,"true",469778129,"paragraph",335572020,"1",335559740,"240",201341983,"0",134233118,"true",134233117,"true",469778324,"Normal"]}">Data Engineer</span><span data-ccp-parastyle="paragraph"> – Inspire11</span></span></strong> </p> <p><span data-contrast="none">Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.</span> <span data-ccp-props="{"335559739":0}"> </span></p> <p><span data-contrast="none">At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.</span><span data-ccp-props="{"335559739":0}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="26" data-list-defn-props="{"335552541":1,"335559685":810,"335559991":360,"469769226&amp

<p><strong>DRW</strong> is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.</p> <p>Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.</p> <p>We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. <strong>DRW</strong> is a place of high expectations, integrity, innovation and a willingness to challenge consensus.</p> <p class="p1">We are seeking an <strong>Equities Data Engineer</strong> to join the MASS (Multi-asset Systematic Strategies) trading team. In this role, you will be responsible for onboarding, transforming, and managing diverse financial datasets. You will collaborate closely with traders, researchers, and quantitative developers to analyze equity and futures data, identify alphas, and develop global delta-one trading strategies.</p> <p class="p1"><strong>Key Responsibilities:</strong></p> <ul class="ul1"> <li class="li1">Partner with traders, researchers, and analysts to deliver well-structured data that powers trading strategies, predictive models, and AI/ML applications.</li> <li class="li1">Build, automate, and maintain resilient pipelines for cleaning, validating, and transforming batch and streaming data that feed into medallion architectures.</li> <li class="li1">Develop observability, monitoring, and alerting tools to provide complete visibility into pipeline reliability and performance.</li> <li class="li1">Optimize tiered data storage and elastic processing across on-prem, cloud, and hybrid environments to ensure scalable and cost-effective solutions.</li> <li class="li1">Enforce data governance, controls, and security standards to preserve confidentiality and operational integrity.</li> <li class="li1">Implement data quality frameworks (validation, reconciliation, anomaly detection) to detect gaps, staleness, and corporate action/market data inconsistencies.</li> <li class="li1">Maintain point-in-time correctness across datasets used for research and live trading; ensure reproducibility of signals and backtests.</li> <li class="li1">Col

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.