Data Engineer Jobs in Chicago, USA

About JSSI Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership.   JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams, Traxxall maintenance tracking software, Parts & Engines, Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management.   With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client — regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com.  The Opportunity  We have built a data platform on Microsoft Fabric and Azure. Our analytics team is consuming data, and our AI roadmap depends on clean, structured, trustworthy data to deliver. What we are missing is the technical owner who makes the data actually work.   This is not a hands-off leadership role. The Director of Data Engineering will be a player-coach: leading and growing a team of 2–5 engineers while remaining a hands-on contributor who can architect solutions, write pipelines, and set the technical bar. You will own the Fabric platform end-to-end, connect our source systems into a reliable data foundation, and serve as the linchpin between raw data and every downstream initiative that depends on it.   Why This Role Matters  Every AI project on our roadmap requires clean, well-structured, trustworthy data. The Fabric platform is in place. This role makes it useful. Without strong data engineering leadership, our analytics team is constrained by data quality issues they cannot fix — and our AI initiatives stall before they start. 

Harrison Street Asset Management ("HSAM") is a leading global alternative investment management firm focused on real estate, infrastructure, and credit strategies across North America and Europe. Headquartered in Chicago, Toronto, and London with offices across North America, Europe, Asia and the Middle East, the firm has over $108 billion in assets under management on behalf of institutional investors and registered investment advisors globally.  Founded on a culture of innovation, HSAM is an early mover in alternative real estate and mid-market infrastructure. Today, the firm’s global team, consisting of more than 520 professionals, is committed to creating long-term value through deep sector expertise and forward-thinking strategies.  Under direction of the Head of Data Analytics & Architecture, Global, the successful Data Engineer candidate will be responsible for designing, building, and maintaining the data infrastructure and systems that support data-driven applications and analytics within Harrison Street. The candidate must have a broad understanding of the entire data & analytics ecosystem of tools and technologies, with hands on experience across the core data domains of business intelligence, data architecture, data science, data engineering, and data visualization. The candidate will analyze the data needs of Harrison Street Asset Management and use their skills in coding to develop and maintain secure data platforms. The successful candidate will be responsible for transforming data into formats that can be more easily analyzed by citizen analysts and data scientists alike. They will do this by developing, maintaining, and testing infrastructures for data generation that enable others within HSAM to more easily access in a secure way the data needed to derive data-driven insights and do their jobs. The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making purposes. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The successful candidate must be self-directed and comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing our company’s data to support our next generation of investments.

Be Part of Our Next Chapter    For over almost 60 years, our solutions have enabled impactful connections between some of the world’s leading brands and their customers. And while we’ve already done a lot of work we’re proud of, we’re just getting started! We’re a global technology company focused on creating dynamic, smart, personalized and engaging customer experiences powered by our range of digital hardware, our proprietary content management system and our industry leading signage solutions. (For example: If you’ve ordered in-store or in the drive-thru at McDonald’s somewhere in the world in the last few years, chances are you’ve interacted with our digital solutions.) We work in over 50 global markets and have 9 offices around the world, with a global headquarters proudly located in our founding home of Sydney, Australia.   Coates Group has the values of a family-owned business and the innovative spirit of a start-up, both which fuel our purpose – Creating Connections. Empowering Partnerships. Always Evolving.  Through hard work, dedication and creativity, we’ve become industry leaders who have won awards and set records while remaining focused on continual growth and evolution. We are a 2x Australia Good Design Award winner and successfully completed the largest hardware deployment in Quick Service Restaurant history. We are curious, charismatic, authentic and we value and leverage the diversity of our crew. We are imaginers, kindness enthusiasts, experts, creators, thinkers, challengers, collaborators and over-achievers. And together, as a Crew, we are revolutionizing the way the world’s leading brands leverage technology to drive the best customer experiences.

Data Engineer  Employment Type: Full-Time, Mid-level Department: Business Intelligence   CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges.   CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.   Skills and attributes for success: -Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. -Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. -Write code to ensure the performance and reliability of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. -Work with program management and engineers to implement and document complex and evolving requirements. -Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. -Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.     Qualifications: -Must be a US Citizen. -Must be able to obtain a Public Trust Clearance. -7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. -Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD pipelines and ability to apply them. -Experience with relational database, such as, PostgreSQL. -Work comfortably in version control systems, such as, Git Repositories.   Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and knowledge of DHS standards a plus. -Candidates will be given special consideration for extensive experience with Python. -Ability to develop visualizations utilizing Tableau or PowerBI. -Experience in developing Shell scripts on Linux. -Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. -Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences.    Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.   For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.   Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.   We care about our employees. Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance -401k -Flexible Spending Account (Health, Dependent Care, and Commuter) -Paid Time Off and Observance of State/Federal Holidays   Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.   Join our team and become part of government innovation!   Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/   For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com   #CJ

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This wouldn’t be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions.    High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high performance trading software using a team-based, holistic development approach. We look for passionate team members that excel and their contribution is critical to our continued success.    Belvedere Trading is looking for a proven Senior Data Engineer to work directly with our trading desks to improve trading performance. This role will be instrumental in ensuring data availability, breadth, and reliability to make better trading decisions. A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable analytical solutions.   Our Data Engineers are responsible for data services, including ETL pipeline implementation, data warehouse architecture, data quality automation, and analytic visualization. We expect a Senior Data Engineer to need minimal guidance on architecture best practices and to communicate clearly to stakeholders across the organization.   Team Belvedere is an environment where you will solve challenging problems that result from petabytes of high-fidelity data. We incrementally add value to our trading desk and, at the same time, design long-term architectures to scale. We seek someone passionate about data and who enjoys working in a fast-paced environment.

<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.<strong></strong></p> <p>As a <strong>Senior Data Engineer</strong> on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.</p> <p><strong>Technical requirements summary:</strong></p> <ul> <li>Have extensive experience designing and building data pipelines</li> <li>Have experience working within modern batch and streaming data ecosystems</li> <li>An expert in SQL and Java or Python</li> <li>Extensive knowledge of data modeling techniques</li> <li>Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions</li> <li>Able to contribute to project management and project reporting</li> <li>Have experience driving nontrivial data migrations across platforms</li> <li>Able to establish, follow, and enforce data modeling standards across a large ecosystem.</li> </ul> <p><strong>What you will do in this role:</strong></p> <ul> <li>Model, build, and manage data products built atop DRW’s Unified Data Platform.</li> <li>Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.</li> <li>Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.</li> <li>Co

<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><strong><u>About the Team</u></strong></p> <p>The DRW Cumberland & FICC Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.</p> <p><strong><u>About the Role:</u></strong></p> <p>We are seeking a Data Engineer to join our trading team. This role will be responsible for onboarding, transforming, and curating datasets. You will collaborate closely with traders, researchers, and quantitative developers to support options and delta-one trading strategies. In this role you will:</p> <ul> <li>Build, maintain, and manage core trading datasets</li> <li>Implement data quality and control processes</li> <li>Incorporate new data from both internally derived and vendor systems</li> <li>Collaborate with research teams to apply novel ideas to historic data sets</li> <li>Create AI sympathetic annotations to new and existing data sets</li> </ul> <p><span style="text-decoration: underline;"><strong>Qualifications:</strong></span></p> <ul> <li>3+ years of demonstrated experience designing and implementing ingestion pipelines</li> <li>Foundational understanding of the Python data science ecosystem</li> <li>Strong understanding of option and future products and their respective data requirements</li> <li>Strong understanding of financial point-in-time and time-seri

<p><strong>About Akuna:</strong></p> <p>Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models.</p> <p>Our Founding Partners<em> </em>first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. <span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore.</span></span></p> <p><strong>What you’ll do as a Software Engineer on the Data Engineering team at Akuna:</strong></p> <p>We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success. The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna’s data assets. The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna’s Quant, Trading, and Business Operations business units.   </p> <p><strong>In this role, you will:</strong></p> <ul> <li>Work within a growing Data Engineering division supporting the strategic role of data at Akuna</li> <li>Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows</li> <li>Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects</li> <li>Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark.</li> <li>Mentor junior engineers in software and data engineering best practices</li> <li>Produce clean, well-tested, and documented code with a clear design to support mission critical applications</li> <li>Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data q

<p>Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.</p> <p>As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.</p> <p>This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.</p> <p><strong>What you’ll do:</strong></p> <ul> <li>Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools</li> <li>Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning</li> <li>Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways</li> <li>Define, document, and enforce data engineering best practices</li> <li>Mentor junior engineers and drive a culture of continuous learning and DataOps excellence</li> </ul> <p><strong>What You’ll Get</strong></p> <ul> <li>Immediate impact on the data systems powering world-class research and real-time trading decisions.</li> <li>A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.</li> <li>High autonomy to own complex workflows and template “how-to” solutions across teams.</li> <li>Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.</li> <li>Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.</li> </ul> <p data-renderer-start-pos="2260">In addition, you’ll receive:</p> <ul> <li data-renderer-start-pos="2292">The opportunity to work alongside best-in-class professionals from over 40 different countries</li> <li>401(k) match up to 50%</li> <li data-renderer-start-pos="2700">Comprehensive health, mental, dental, vision, disability, and life coverage</li> <li data-renderer-start-pos="2779">25 paid vacation days alongside market holidays</li> <li data-renderer-start-pos="2830">Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more</li> &lt