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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

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

Conagra Brands

<div></div><div><div>Location</div>
 Chicago, Illinois, United States of America
<div>Category</div>
 IT &amp; Business Services
<div>Job Id</div>
 Req-037374
<div>Job Type</div>
 Full time
 <div></div>Office</div>
<br><div><div><div><div><div><div><div><div><div><p>Reporting to <b>Manager IT &ndash; Marketing</b>, you will design, develop, and optimize data pipelines and data models that enable marketing performance measurement and insights across media, owned digital platforms, and social channels. You will partner closely with Media Services, Owned Digital Product, Marketing Activation, analytics, and data science teams to deliver trusted, scalable data solutions that help marketers understand consumer behavior, optimize investment decisions, and measure impact across channels.</p></div><div><p><b>
A Taste of Your Responsibilities</b></p></div><div><ul><li><p>
Architect, develop, and maintain robust data pipelines that integrate marketing data from multiple sources into the enterprise data environment</p></li></ul></div><div><ul><li><p>
Partner with Marketing teams to gather and translate business requirements into scalable data solutions</p></li></ul></div><div><ul><li><p>
Build and optimize complex SQL transformations to support marketing performance measurement and reporting use cases</p></li></ul></div><div><ul><li><p>
Design and manage data models aligned to marketing domains such as media spend, impressions, engagement, conversion, and digital behavior</p></li></ul></div><div><ul><li><p>
Implement and automate ETL workflows using Informatica and Databricks to improve reliability and efficiency of marketing data pipelines</p></li></ul></div><div><ul><li><p>
Perform data validation, troubleshooting, and quality assurance checks to ensure accuracy and consistency</p></li></ul></div><div><ul><li><p>
Monitor and optimize the performance of pipelines, queries, and analytical processes</p></li></ul></div><div><ul><li><p>
Document data workflows, transformations, data definitions, and standards for team reference</p></li></ul></div><div><ul><li><p>
Participate in Agile ceremonies to plan, estimate, and deliver work efficiently</p></li></ul></div><div><ul><li><p>
Support data governance, privacy, and compliance practices within Marketing</p></li></ul></div><div><p><b>
Ingredients Required for Your Success</b></p></div><div><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience</p></li></ul></div><div><ul><li><p>
Four or more years of experience in data engineering or a related role supporting enterprise‑scale analytics solutions</p></li></ul></div><div><ul><li><p>
Advanced proficiency in SQL for data transformation and analysis</p></li></ul></div><div><ul><li><p>
Hands‑on experience with cloud data platforms, including Snowflake and Databricks</p></li></ul></div><div><ul><li><p>
Strong experience with ETL tools and frameworks, particularly Informatica</p></li></ul></div><div><ul><li><p>
Proficiency in Python or PySpark for data processing and automation</p></li></ul></div><div><ul><li><p>
Solid understanding of data modeling concepts and database design principles</p></li></ul></div></div><div><div><ul><li><p>
Demonstrated problem‑solving skills with strong attention to data quality and detail</p></li></ul></div><div><ul><li><p>
Strong communication skills and a collaborative approach when working with technical and non‑technical partners</p></li></ul></div><div><ul><li><p>
Experience supporting marketing analytics, media measurement, digital analytics, or social reporting is strongly preferred</p></li></ul></div><p></p><div><p><br>
Number of Days in Office: 3<br>
#LI‑Hybrid<br>
#LI‑SG1<br>
#LI‑MSL</p></div></div><p></p><p><b><br>
Compensation</b></p>
Pay Range:$93,200-$135,700<p></p><p><i>
The annual salary listed above is the expected offering for this position. An employee&rsquo;s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees&rsquo; equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.</i></p><p></p><p><b>
Our Benefits</b></p><p></p><p>
We care about your total well-being and will support you with the following, subject to your location and role:</p><ul><li><p>
Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement</p></li><li><p>
Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan</p></li><li><p>
Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement</p></li><li><p>
Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities</p></li></ul><p></p><p><b>
Our Company</b></p><p></p><p>
At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions &ndash; within our people and our iconic brands like Birds Eye&reg;, Slim Jim&reg; and Reddi-Wip&reg;.</p><p></p><p>
Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.</p><p></p><p>
Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.</p></div></div></div></div></div></div></div><p></p>

Sr Data Engineer – Marketing & Marketing Measurement

<div></div><div><div>Location</div>
 Chicago, Illinois, United States of America
<div>Category</div>
 Demand Science
<div>Job Id</div>
 Req-036204
<div>Job Type</div>
 Full time
 <div></div>Office
 <div></div>Hybrid (1-4 days in office)</div>
<br><div><div><div><div><div><div><div><p>Reporting to the Director of Business Intelligence, you will influence and grow our Business Intelligence practice by developing data engineering pipelines and analytic solutions that support our Advanced Analytics and Data Science teams. You will partner with stakeholders across the business to translate questions and data needs into actionable engineering and reporting requirements while promoting a self‑service analytics environment.</p><p></p><p><b>
A Taste of Your Responsibilities</b></p><ul><li>
Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal partners and external customers</li><li>
Provide expertise on data engineering tools, visualization tools, concepts, and best practices</li><li>
Partner with Analytics, Data Science, and Technology to define best practices, policies, and procedures for data usage</li><li>
Translate complex data engineering requirements from concept through implementation</li><li>
Collaborate with Information Technology and analytics team members to advance self‑service analytics capabilities</li><li>
Engage hands‑on to gather requirements, build pipelines, and create dashboards</li></ul><p></p><p><b>
Ingredients Required for Your Success</b></p><ul><li>
Bachelor&rsquo;s Degree.</li><li>
3+ years of experience building data pipelines using Databricks(SQL and pyspark) and Snowflake</li><li>
3+ years of experience with relational and cloud databases such as SQL Server, Oracle ADW, Snowflake, or Redshift</li><li>
Experience with Data Lake and Data Warehousing concepts such as Dimensional modeling</li><li>
Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops</li><li>
Experience supporting a self‑service dashboarding environment</li><li>
Experience with modern analytics tools, technologies, and frameworks</li><li>
Interest in exploring new and innovative ways to use data</li><li>
Nice to have: Experience applying AI functions in production pipelines</li><li>
Nice to have: Experience with Azure Data Factory or Informatica</li><li>
Nice to have: 3+ years of experience with data visualization tools such as Power BI or Sigma</li></ul><p></p><p>
Number of Days in Office: 3<br>
#LI-Hybrid<br>
#LI-GS1<br>
#LI-MSL</p><p></p><p><b>
Compensation:</b></p>
Pay Range:$81,000-$118,000<p></p><p><i>
The annual salary listed above is the expected offering for this position. An employee&rsquo;s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees&rsquo; equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.</i></p><p></p><p><b>
Our Benefits:</b></p><p></p><p>
We care about your total well-being and will support you with the following, subject to your location and role:</p><ul><li>
Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement</li><li>
Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan</li><li>
Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement</li><li>
Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities</li></ul><p></p><p><b>
Our Company:</b></p><p></p><p>
At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions &ndash; within our people and our iconic brands like Birds Eye &reg;, Slim Jim&reg; and Reddi-Wip&reg;.</p><p></p><p>
Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.</p><p></p><p>
Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.</p></div></div></div></div></div></div></div><p></p>

<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

Talution Group

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Our client is looking for a high-energy, "digital-first" Designer to join their evolving Product Marketing team. They need a creative engineer &mdash; someone who blends world-class visual design with technical curiosity and a ready-to-build attitude. You&rsquo;ll partner directly with a Senior Designer to ideate, build and launch complex marketing campaigns and high-performing UI experiences. You are a go-getter who doesn't just wait for a brief; you seek to understand our products and the "why" behind our strategy to build better visual solutions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   End-to-end campaign execution: Partner with a Senior Designer to translate marketing strategies into visual concepts. You will own the execution of these concepts across all digital touchpoints (web, social, email, display).
  </li>
  <li>
   Systemic UI engineering: You&rsquo;ll combine high-fidelity UI design with advanced Figma architecture &mdash; using auto-layout, variables and prototyping &mdash; to create responsive, accessible web pages and product experiences. Help build and maintain our design libraries and interactive prototypes, ensuring our design-to-delivery pipeline &mdash; including motion assets &mdash; is sophisticated, scalable and dev-ready.
  </li>
  <li>
   Motion &amp; interaction design: Proactively suggest and execute motion-based deliverables. You will design with movement to convey ideas and drive engagement, including web-ready animations (e.g., Lottie/JSON) that ensure clever site experiences and developer-friendly implementation.
  </li>
  <li>
   Creative ownership: Take the seed of an idea and turn it into multiple viable concepts without needing ample creative oversight.
  </li>
  <li>
   Proactive collaboration: You&rsquo;ll interface directly with Copywriters, Marketing Managers, Front-end Web Developers and other technologists. You are expected to speak up, share ideas and articulate your design decision aligned to marketing strategies.
  </li>
  <li>
   AI-driven workflows: You&rsquo;re excited to experiment with and implement AI tools that increase creativity, automate repetitive tasks and potentially build custom templates or tools that make the team's delivery more efficient.
  </li>
  <li>
   Brand interpretation: Act as a brand steward who isn&rsquo;t afraid to push boundaries. You use their brand guidelines as a foundation to build upon, not a ceiling, while staying true to who we are.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Portfolio excellence: A strong portfolio showcasing high-end UI design, digital campaign work and sophisticated web-based motion (Lottie, interactive prototypes, etc.).
  </li>
  <li>
   The tech stack: Expert-level in Figma (components, variables, auto-layout); mastery of Adobe Creative Suite, especially Adobe After Effects for web-optimized animation.
  </li>
  <li>
   UX/UI instincts: You design with the user in mind, understanding how layout, interaction and motion affect conversion and user flow.
  </li>
  <li>
   An engineer mindset: You thrive in an environment where you are expected to take initiative, independently seek out information to bridge design and dev.
   <br/>
   <br/>
  </li>
 </ul>
 **We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**
 <br/>
 <br/>
</div>


Digital Designer

Explore 291+ Data pipeline engineer in Chicago this April. Find roles across top companies and apply now to boost your career.

291 data pipeline engineer jobs In Chicago

DATA ENGINEER

Data Engineer

Senior Data Engineer

Sr Data Engineer – Marketing & Marketing Measurement

Senior Data Engineer

DATA PLATFORM OPERATIONS ENGINEER – PERFORMANCE

Digital Designer