data engineer

senior data engineer

chief engineer

data analyst

data analytics engineer

database engineer

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

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

<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

Aditi Consulting

<div>
 <br/>
 <span>
  <strong>
   <span>
    Payrate:
   </span>
  </strong>
  <span>
   $83.00 - $84.00/hr.
   <br/>
  </span>
  &nbsp;
  <br/>
  <strong>
   <span>
    Summary:
    <br/>
   </span>
  </strong>
  <span>
   The main function of a software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that make computers work. A typical software engineer researches, designs, develops, and tests operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications.
   <br/>
  </span>
  &nbsp;
  <br/>
  <strong>
   <span>
    Responsibilities
   </span>
  </strong>
 </span>
 <ul>
  <li>
   <span>
    <span>
     Review and approve the modification of existing databases and database management systems.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Instruct staff to write and code logical and physical database descriptions and specify identifiers of database to management system.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Direct database development and approve project scope and limitations.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Review project requests describing database user needs to estimate time and cost required to accomplish project.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification, or disclosure.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Approve, schedule, plan, and supervise the installation and testing of new products and improvements to computer systems.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Develop standards and guidelines to guide the use and acquisition of software and to protect vulnerable information.
    </span>
   </span>
  </li>
 </ul>
 <span>
  &nbsp;
  <br/>
  <strong>
   <span>
    Qualifications
   </span>
  </strong>
 </span>
 <ul>
  <li>
   <span>
    <span>
     Bachelor's degree in computer science, software engineering, or relevant field required.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     8-10 years of experience required.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Strong design and development skills in two or more of the following technologies and tools: Java (3-5 years), Cucumber (3-5 years), JBehave or other BDD testing frameworks.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     At least 8 years of test automation framework design.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Strong experience in testing Webservices (REST APIs) (3-5 years).
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Proven experience developing test scripts, test cases, and test data.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     The ability to write queries in SQL or other relational databases.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     3 years of experience in developing scenario-based performance testing using JMeter.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Hands-on experience with Python.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Development experience in AWS Cloud technology.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Experience in TDD, continuous integration, code review practice is strongly desired.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Experience with Apigee or other API gateways is a plus.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git).
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices.
    </span>
   </span>
  </li>
 </ul>
 <span>
  &nbsp;
  <br/>
  <strong>
   <span>
    Desired Skills
   </span>
  </strong>
 </span>
 <ul>
  <li>
   <span>
    <span>
     Experience testing full stack and integration testing with 3rd parties.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     End-to-end system integration testing experience for software platforms.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Understanding of a microservice architecture.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Experience load and performance testing.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Strong documentation skills.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Ability to adapt quickly to a complex environment.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Pro-active, flexible, and creative.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Very strong communication skills and the ability to collaborate with developers and business users.
    </span>
   </span>
  </li>
 </ul>
 <span>
  &nbsp;
  <br/>
  <strong>
   <span>
    Pay Transparency:
   </span>
  </strong>
  <em>
   <span>
    The typical base pay for this role across the U.S. is:
    <strong>
     $83.00 - $84.00/hr.
    </strong>
    Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,&nbsp; life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.&nbsp;
    <br/>
   </span>
  </em>
  &nbsp;
  <br/>
  <strong>
   <em>
    <span>
     Consent to Communication and Use of AI Technology:
    </span>
   </em>
  </strong>
  <em>
   <span>
    By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
    <br/>
   </span>
  </em>
  <em>
   <span>
    You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC&rsquo;s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded.
    <br/>
   </span>
  </em>
  &nbsp;
  <br/>
  <em>
   <span>
    Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying &ldquo;STOP&rdquo; to messages or by contacting
   </span>
  </em>
  <em>
   <span>
    privacy@aditiconsulting.com
   </span>
  </em>
  <em>
   <span>
    .
    <br/>
   </span>
  </em>
  <em>
   <span>
    For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
   </span>
  </em>
  <em>
   <span>
    Privacy Policy
   </span>
  </em>
  <em>
   <span>
    .
    <br/>
   </span>
  </em>
  &nbsp;
  <br/>
  <em>
   <span>
    #AditiConsulting
    <br/>
    # 26 - 02221
    <br/>
   </span>
  </em>
 </span>
</div>


Software Engineer

SGN Global Technologies

<p>Working knowledge of Snowflake/Databricks fundamentals and how to use it effectively in practice.</p><ul><li>in-depth knowledge and understanding of Databricks/Spark concepts and common patterns for building and operating data pipelines.</li><li>Knowledge of data formats, Delta tables and Apache Iceberg (table semantics, schema evolution, ACID/time travel, partitioning/compaction).</li><li>provide concrete approaches to improve project efficiency (performance tuning, cost optimization, scaling strategies), which is a key requirement for this role.</li></ul><p>Job Type: Contract</p><p>Pay: $60.00 - $62.00 per hour</p><p>Work Location: In person</p>

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>

Explore 72+ Database engineer in Chicago this April. Find roles across top companies and apply now to boost your career.

72 database engineer jobs In Chicago

Senior Data Engineer

DATA ENGINEER

Data Engineer

DATA PLATFORM OPERATIONS ENGINEER – PERFORMANCE

Software Engineer

Data Engineer

Data Engineer