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data platform operations engineer – performance

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data platform operations engineer – performance Jobs in Chicago

data engineer

IMC Financial Markets

<p></p><div><div><div><div><div><div>Experienced</div></div><div></div><div><div>
Technology</div></div><div></div><div><div>
Chicago</div></div></div></div><div></div><div><div><br>
Polar Operations LLC (d/b/a IMC Markets) is seeking a Data Engineer in Chicago, IL.</div>
<div><b>
Your Core Responsibilities</b></div>
<ul>
<li><div>The Data Engineer builds and administers data workflows in IMC&rsquo;s evolving, modern big data environment.</div>
</li>
<li><div>Develop and extend in-house data toolkits based in Python and Java.</div>
</li>
<li><div>Build data pipelines using big data tools including Hadoop, Kafka, Spark, and AWS.</div>
</li>
<li><div>Work with our trading and research teams to develop data solutions.</div>
</li>
<li><div>Assist in identifying solutions that match the problem space and harmonize with our internal data platform.</div>
</li>
<li><div>Improve the performance of financial analytics platforms built around the big data ecosystem.</div>
</li>
</ul><div>Partial telecommuting permitted.</div>
<div>
Data Engineer (Requisition ID: 4453344101)</div><br>
<div></div>
<div><b>
Your Skills and Experience</b></div>
<div>
This position requires a Bachelor&rsquo;s degree, or foreign equivalent, in computer science or engineering, information technology, or similarly quantitative technology field and six (6) months of experience in the job offered or a related occupation.</div>
<div>
Must have six (6) months experience in the following skill(s):</div>
<ul>
<li>Data engineering, systems engineering, or similar in a high-throughput, big data ecosystem;</li>
<li>Building and administering data workflows using Hadoop, Spark, and SQL, including troubleshooting and root-cause analysis;</li>
<li>Developing streaming data applications using Kafka;</li>
<li>Developing and extending data solutions in containerized environments (Docker or Kubernetes) using Java, Python, or common data-science toolkits; and</li>
<li>Unix scripting (Bash, tcsh, zsh, and Python).</li>
</ul>
<div>#LI-DNI</div><div><div><b>
About Us</b></div>
<div>
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.</div></div></div><div></div><div><div><div><br>
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit <div>Benefits - US | IMC Trading</div> for more comprehensive information.</div></div><h5 class="jobSectionHeader"><b>
Salary Range</b></h5><div>
$135,000.00 - $220,000.00 USD</div></div></div></div><div></div>

DATA ENGINEER

<div><p>We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io<br>
<br>
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.</p><p></p><p><b>
About The Role</b></p><p>
We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x&rsquo;s machine learning initiatives and future analytics-driven product features.<br>
<br>
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li>Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.</li><li>Contribute to the evolution of K1x&rsquo;s data lakehouse strategy, including adoption of Snowflake.</li><li>Develop and maintain robust ETL/ELT pipelines for large-scale data processing.</li><li>Implement data quality checks, validation, and monitoring.</li><li>Enable machine learning workflows with clean, well-structured datasets.</li><li>Support analytics and reporting use cases including Power BI.</li><li>Partner with Product, Engineering, and AI teams on data solutions.</li></ul><b><br>
Requirements</b><p><b><br>
Who You Are</b></p><ul><li>4&ndash;8+ years of experience in data engineering or backend engineering with a data focus.</li><li>Strong experience building data pipelines and ETL/ELT workflows.</li><li>Proficiency with SQL and relational data modeling.</li><li>Experience with cloud-based data platforms (Azure preferred).</li><li>Understanding of data quality, reliability, and monitoring.</li><li>Strong communication and collaboration skills.</li></ul><p></p><p><b>
It&rsquo;s Truly a Match If You Have</b></p><ul><li>An engineering mindset applied to data platforms.</li><li>Passion for building scalable, reliable data foundations.</li><li>Interest in enabling ML and analytics-driven products.</li><li>Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI.</li><li>Comfort balancing near-term delivery with long-term architecture.</li></ul><b><br>
Benefits</b><br>
<ul>
<li>Unlimited Vacation Policy + Sick Time + Holidays
</li><li>Paid Parental Leave
</li></ul><ul><li>Fully Remote Opportunity
</li><li>Healthcare Benefits and 401K
</li><li>Growing Startup Culture</li></ul></div>

Data Engineer

Shirley Ryan Ability Lab

<div><p>Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you&rsquo;ll be part of our life-changing mission and vision. You&rsquo;ll contribute to an innovative, multifaceted culture that is second to none &mdash; one that embraces collaboration, excellence, discovery and compassion. You&rsquo;ll play a role in something that&rsquo;s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes &mdash; as we Advance Human Ability, together.</p><p></p><p><b>
Job Description Summary</b></p><p></p><p><b>
Job Description</b></p><p>
Data Engineers for Chicago, IL location.</p><p></p><ul><li><p>
Develop secure, stable, scalable long-term plans for the flow of hospital data.</p></li><li><p>
Assist in the development of scalable data infrastructure and platforms to collect and process large amounts of data, including structured and unstructured data for analysis by clinical, research, and business resources.</p></li><li><p>
Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement.</p></li><li><p>
Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving.</p></li><li><p>
Help oversee mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.</p></li><li><p>
Define standards for naming, describing, governing, managing, modeling, cleaning, enriching, transforming, moving, storing, searching, and delivering data securely.</p></li><li><p>
Participate in data and information model design across multiple stakeholders.</p></li><li><p>
Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling.</p></li></ul><p></p><p><b>
Job Requirements</b></p><ul><li><p>
Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data sets required.</p></li><li><p>
Required skills: implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling.</p></li><li><p>
Some telecommuting permitted.</p></li><li><p>
(*Bachelor&rsquo;s degree in Information Systems, Computer Science, Data Science or related field plus 5 years of progressive experience in data analytics with large data sets also acceptable).</p></li></ul><p></p><p>
Salary: $104, 250 &ndash; 124,500/yr.</p><p>
Benefits: See https://www.sralab.org/benefits.</p><p></p><p><b>
Equal Employment Opportunity Employer</b></p><p></p><p><br>
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.</p><p></p><p><br>
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy</p><p></p><p><br>
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.</p></div>

Above Lending

<div><div>Above Lending is a next-generation financial services company. We provide simple and transparent products aimed at helping our clients achieve their personal finance goals. With competitive rates and personalized support, our mission is to simplify the lending process and help borrowers attain financial well-being. We are committed to making credit more affordable and accessible.</div><div></div><div><p><br>
We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer.</p>
<p>
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.</p>
<p>
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.</p>
This is a hybrid role based in Chicago, IL.</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3>
Build and own end-to-end data pipelines (ingestion staging<ul><li> marts) using <b>Snowflake, Airflow, Fivetran, and DBT.</b></li>
<li>Work directly with raw data. Identify issues and implement fixes in base and staging layers before they propagate downstream.</li>
<li>Design data models that are simple, scalable, and trusted by the business.</li>
<li>Write advanced, high-performance <b>SQL.</b></li>
<li>Understand the underlying database technology: execution plans, indexing, clustering, and storage behavior.</li>
<li>Debug data issues deeply, tracing problems across systems.</li>
<li>Use Python for ETL automation, scripting.</li>
<li>Build and enforce data quality checks that prevent bad data from reaching consumers.</li>
<li>Monitor pipelines proactively and resolve issues.</li>
</ul><h3 class="jobSectionHeader"><b>What You Bring</b></h3><ul>
<li><b>5+ years </b>of hands-on data engineering experience - including administration or support.</li>
<li>Fintech or similarly data-intensive environments preferred.</li>
<li>Expert-level <b>SQL:</b> joins, window functions, performance trade-offs.</li>
<li>Proven experience building data models and marts from raw, imperfect source data.</li>
<li>Solid <b>Python </b>skills applied to practical data engineering problems.</li>
<li>Hands-on experience with <b>Snowflake, Airflow, Fivetran, and DBT.</b></li>
<li>A high bar for data quality - you don't trust a number until you've validated it.</li>
<li>The ability to operate independently, make decisions under ambiguity, and follow problems through to resolution.</li>
</ul><h3 class="jobSectionHeader"><b>What Sets You Apart</b></h3><div>
<ul><li>You've debugged data issues others couldn't explain.</li>
<li>You've worked with poorly documented or unreliable source systems and made them usable.</li>
<li>You've said &quot;this number is wrong&quot; - and proved it.</li>
<li>You care about correctness as much as performance.</li>
<li>You default to solving problems, not escalating them.</li>
</ul></div><div>This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.</div><div>
Join our dynamic team and contribute to Above Lending&rsquo;s success as we continue to provide innovative lending solutions to our customers.</div><div></div><div><i><br>
Under the California Consumer Privacy Act (&ldquo;CCPA&rdquo;), Above Lending is informing California residents who are our job applicants, contractors or prospective employees (together &ldquo;job applicants&rdquo;) about the categories of personal information we collect about you and the purposes for which we will use this information. This notice and our Privacy Policy contain important information relating to the CCPA and apply only to personal information that is subject to the CCPA. Please see our website for the full CCPA statement.</i></div><div></div><div><br>
*Above Lending is an equal opportunity Employer*</div><div><i>
Above Lending does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job positions. No fee will be paid to their parties who submit unsolicited candidates directly to Above Lending employees or the Above Lending Finance and HR teams. No placement fee will be paid to any third party unless such a request has been made by the Above Lending HR team.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Data Engineer

Northern Trust Corp.

<div><p><b>About Northern Trust:</b></p><p></p><p>
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.
</p><p></p><p>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.</p><p></p><p><b>
Title: Data Analytics Engineer</b></p><p></p><p><b>
Key skills required for the role:</b></p><ul><li>
Advanced data analytics skills using ML, AI and GenAI.</li><li>
Expertise in designing data driven AI solution for complex business needs.</li><li>
Investment Management or Asset Management experience recommended.</li><li>
Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design.</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></ul><p></p><p><b>
Roles and Responsibilities:</b></p><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><p></p><p><b>
Experience :</b></p><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><p></p><p>
Salary Range:</p>
$114,500 - 194,700 USD<p></p><p><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></p><p></p><p><b>
Working with Us:</b></p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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</p><p></p><p><b>
Reasonable accommodation</b></p><p><br>
</p><p>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 MyHRHelp@ntrs.com.</p><p><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.</p><p></p><p>
Apply today and talk to us about your flexible working requirements and together we can achieve greater.</p></div>

Data Analytics Engineer

<p></p><div><div><div><div><div><div>Experienced</div></div><div></div><div><div>
Technology</div></div><div></div><div><div>
Chicago</div></div></div></div><div></div><div><div><br>
We are looking for a data-focused engineer with a strong operational focus to support the Performance Team&rsquo;s data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.</div>
<div>
The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.</div>
<div><b>
What you&rsquo;ll do:
</b></div><ul><li>Own the operational health of the Performance Team&rsquo;s data platform</li>
<li>Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability</li>
<li>Design and maintain data quality checks, reports, and alerting specific to performance data</li>
<li>Investigate and resolve data issues and pipeline failures, driving problems to root cause</li>
<li>Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows</li>
<li>Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks</li>
<li>Build and maintain operational tooling, automation, and runbooks</li>
<li>Continuously tune data pipelines and workloads to improve performance and resource efficiency</li>
</ul>
<div><b>What you bring:</b></div>
<ul>
<li>3+ years of experience in software engineering or data engineering with an operational or production focus</li>
<li>A Bachelor&rsquo;s Degree in Computer Science or a related field is strongly preferred</li>
<li>Proficiency in Python, with hands-on experience using PySpark and Pandas</li>
<li>Experience supporting production ETL or data processing systems</li>
<li>Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)</li>
<li>Strong analytical skills and attention to detail</li>
<li>Comfortable taking ownership in a performance- and reliability-critical environment</li>
</ul>
<div><b>Nice to Have</b></div>
<ul>
<li>Experience working with performance-critical or high-throughput systems</li>
<li>Exposure to workload scheduling, resource management, or cluster-based compute</li>
</ul>
<div><b>What Success Looks Like</b></div>
<ul>
<li>Performance data pipelines are reliable, observable, and trusted</li>
<li>Issues are detected early and resolved quickly with clear root-cause ownership</li>
<li>Workloads are well-balanced and systems run efficiently</li>
</ul><div><div><b>
About Us</b></div>
<div>
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.</div></div></div><div></div><div><div><div><br>
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit <div>Benefits - US | IMC Trading</div> for more comprehensive information.</div></div><h5 class="jobSectionHeader"><b>
Salary Range</b></h5><div>
$185,000.00 - $225,000.00 USD</div></div></div></div><div></div>

DATA PLATFORM OPERATIONS ENGINEER – PERFORMANCE

Deepwalk

<div><p><b>About DeepWalk</b></p><p>
DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms.</p><p>
In the past year, we&rsquo;ve processed thousands of miles of sidewalk across 20+ states, generating millions of labeled data points used in real-world infrastructure decisions. We&rsquo;ve raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America.</p><p><b>
Lead Software Engineer</b></p><p>
$150,000 &ndash; $190,000 base salary + equity &middot; Hybrid (Chicago)</p><p>
We&rsquo;re hiring a Lead Software Engineer to set the technical direction of DeepWalk&rsquo;s platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data.
</p><p>You&rsquo;ll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure.</p><p>
In this role, you&rsquo;ll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with.</p><p>
Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data. We also develop and support customer facing web and mobile applications for our users to scan and view their data.</p><p><b>
What You&rsquo;ll Do</b></p><p>
As a Lead Engineer at DeepWalk, you&rsquo;ll have significant ownership over the systems we build and how we build them. You will&hellip;</p><ul><li><p>
Set the technical direction for scaling out our platform</p></li><li><p>
Design and improve data pipelines that process thousands of miles of sidewalks and millions of images</p></li><li><p>
Lead architectural decisions for handling hundreds of terabytes of geospatial data and visual data</p></li><li><p>
Set and evolve best practices around deployment, observability, system reliability, and scalability</p></li><li><p>
Act as a senior individual contributor and mentor, helping raise the technical bar across the engineering team</p></li><li><p>
Work closely with the CEO and operations team to turn business needs into clear technical priorities</p></li></ul><p><b>
What Success Looks Like (First 3&ndash;6 Months)</b></p><ul><li><p>
Build a strong understanding of our current systems, processes, applications, and data pipelines</p></li><li><p>
Identify the biggest scaling, reliability, and maintainability gaps as we grow</p></li><li><p>
Increase the delivery speed of processed data</p></li><li><p>
Become a trusted technical partner to leadership</p></li></ul><p><b>
What We&rsquo;re Looking For</b></p><p><b>
Required</b></p><ul><li><p>
5+ years of experience, ideally with strong experience at a growth stage startup</p></li><li><p>
Demonstrated ability to translate ambiguous business requirements into long term technical goals</p></li><li><p>
Experience owning system architecture and influencing technical decisions across teams</p></li><li><p>
Fluency in at least one modern backend language (Python, Java, TypeScript, Go, etc.)</p></li><li><p>
Strong understanding of system design, scalability, and distributed systems</p></li><li><p>
Experience with cloud platforms such as AWS, GCP, or Azure</p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Computer vision/machine learning model development</p></li><li><p>
Experience with large-scale or real-time data pipelines</p></li><li><p>
Infrastructure-as-Code experience (Terraform, CDK, etc.)</p></li><li><p>
ML observability, data validation, or model deployment experience</p></li><li><p>
Familiarity with geospatial, imagery, or sensor-driven data</p></li><li><p>
A genuine interest in urban planning, accessibility, or civic technology</p></li></ul><p><b>
Compensation &amp; Benefits</b></p><ul><li><p>
$150,000 &ndash; $190,000 base salary, based on scope and experience</p></li><li><p>
Equity</p></li><li><p>
Unlimited PTO (most of our team takes 3&ndash;4 weeks per year)</p></li><li><p>
Health insurance</p></li><li><p>
401(k) with ~4% match (100% on first 3%, 50% on the next 2%)</p></li><li><p>
Convenient office location in The Loop</p></li><li><p>
Hybrid work environment (typically 2 days in-office)</p></li></ul><p><i>
</i></p><p><i>DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees.</i></p><p><i>
DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.</i></p><p><i>
In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.</i></p><p></p><p>
Compensation Range: $150K - $190K</p></div>

Lead Software Engineer

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224 data engineer jobs In Chicago

DATA ENGINEER

Data Engineer

Data Engineer

Senior Data Engineer

Data Analytics Engineer

DATA PLATFORM OPERATIONS ENGINEER – PERFORMANCE

Lead Software Engineer