artificial intelligence & automation engineer

associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations)

data analyst intern (advanced sql / python / data engineering focus)

2026-2027 yearlong quality inspections intern

artificial intelligence & automation engineer Jobs in House Video Content Creator Jobs In Person Jobs In Person Jobs In Person Jobs In Chicago

associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations) Jobs in House Video Content Creator Jobs In Person Jobs In Person Jobs In Person Jobs In Chicago

business intelligence engineer Jobs in House Video Content Creator Jobs In Person Jobs In Person Jobs In Person Jobs In Chicago

business intelligence engineer

data analyst intern (advanced sql / python / data engineering focus) Jobs in House Video Content Creator Jobs In Person Jobs In Person Jobs In Person Jobs In Chicago

data engineer Jobs in House Video Content Creator Jobs In Person Jobs In Person Jobs In Person Jobs In Chicago

data engineer

lead machine learning data science engineer

CapTech Consulting

<div><b>Company Description</b><p><br>
CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.</p><br>
<div></div>
<b>
Job Description</b><p><br>
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.</p><p><b><i>
Specific responsibilities for the Lead Machine Learning Engineer position include:
</i></b></p><ul><li>Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs</li><li>
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.</li><li>
Deconstructing client needs into data-driven processes/models and analytical measures.</li><li>
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).</li><li>
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).</li><li>
Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.</li><li>
Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.</li></ul><br>
<div></div>
<b>
Qualifications</b><br>
<ul><li>
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms</li><li>
Bachelor's degree or equivalent combination of education and experience.</li><li>
Experience providing technical leadership and mentoring other engineers in data engineering space</li><li>
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.</li><li>
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.</li><li>
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.</li><li>
Proficiency with containerization (e.g., Docker) and microservices.</li><li>
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS</li><li>
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.</li><li>
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)</li><li>
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).</li><li>
Knowledge of DevOps and automation best practices.</li><li>
Knowledge of statistics and statistical modeling methods.</li><li>
Knowledge of model management and model versioning best practices.</li><li>
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting</li><li>
Experience with prompt engineering, MCP and RAG, and agentic AI architectures</li><li>
Strong understanding of conversational UX and prompt evaluation metrics</li><li>
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)</li><li>
Experience with multi-agent orchestration</li></ul><br>
<div></div>
<b>
Additional Information</b><p><br>
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.</p><ul><li>
Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths</li><li>
Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs</li><li>
Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care</li><li>
Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more</li><li>
Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations</li><li>
Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.</li><li>
401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness</li></ul><p>
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.</p><p>
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $150,000 - $200,000.</p><p>
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.</p></div><p></p>

Lead Machine Learning / Data Science Engineer

DePaul University

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Full-time Faculty Positions</b></p><br>
<p>Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.</p>
<p></p><p>Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the link/button.</p><br>
<p></p>
<p>Posting Details</p>
<p><b>Job ID:</b> 170898</p>
<b>Rank:</b> Assistant Professor
<p><b>College/School:</b> Chicago, IL - Jarvis College of Computing &amp; Digital Media</p>
<b>Position Description:</b>
<div><p>The School of Computing at DePaul University invites applications for multiple tenure-track positions at the level of assistant professor. We are particularly interested in candidates specializing in the following areas <b>(in order of priority)</b>:</p>
<ul>
<li><b>Cybersecurity</b></li>
<li><b>Artificial Intelligence</b></li>
<li><b>Core Computer Science</b></li>
</ul>
<p><b>Exceptional candidates from all areas of computer science are encouraged to apply.</b></p>
<p>
The School of Computing includes over 70 full-time faculty and more than 3,600 undergraduate and graduate students. We offer a PhD program, 17 master's degrees, and 10 bachelor&rsquo;s degrees as well as a growing number of multidisciplinary CS plus X degrees. The School of Computing is committed to providing a flexible and supportive environment for its faculty, promoting a rewarding academic career with a balance between teaching and research. Located in the heart of Chicago&rsquo;s vibrant downtown, it offers vast opportunities to forge relationships with industry, national laboratories, universities, and other organizations in the Chicago area.</p>
<p>
The School of Computing has several centers of excellence, including Big Data, Cloud Infrastructure, and High-Performance Computing; Visual Computing, Medical Informatics, and Bioinformatics; Web Intelligence and Recommender Systems; Computing Education; Interactive Machine Learning; Cybersecurity and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Intelligent Software Engineering. Over the past decade, faculty within the school have secured more than $15M in NSF funding and consistently published in selective conferences. The culture within the school emphasizes high-impact and high-quality research, rather than placing pressure on faculty to secure external funding or publish many papers. Nonetheless, the university provides extensive support for external funding, as well as a robust internal research grants program, including PhD stipends, graduate assistantships and course releases.</p></div>
<b>Qualifications:</b>
<p>Applicants should have a PhD degree in Computer Science, Information Systems, Computer or Electrical Engineering, or a related field.</p>
<b>Application Instructions:</b>
<p>Review of applications will begin on November 14, 2025, and continue until the positions are filled.</p>
<p>
The application must include:</p>
<ul>
<li><b>Cover letter</b></li>
<li><b>Curriculum vitae</b></li>
<li><b>Contact information for at least three professional references </b>references will be contacted to upload their recommendations</li>
<li><b>Research statement</b> highlighting both current and future directions of research</li>
<li><b>Teaching statement</b></li></ul><br>
<p></p>
<p>
For more information, contact Vahid Alizadeh (vahid.alizadeh@depaul.edu).</p><br>
<p></p>
<p><b>
General Compensation/Benefits Statement:</b><br>
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.</p>
<p>
DePaul University offers excellent benefits, including medical, dental, retirement, paid time off, and tuition benefit. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/Pages/default.aspx.</p>
<p><b>
About DePaul University's Academic Calendar:</b><br>
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).</p><br>
<br>
<div><b>Salary Information: </b>The salary range for this 10-month position is $99,000 - $120,000, commensurate with qualifications and experience.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Multiple Tenure-Line Faculty Positions in Computing (26 - 27)

AHOLD Delhaize

<div><b>Category/Area of Expertise:</b> IT &amp; Technology<br>
<b>Job Requisition:</b> 484970<br>
<b>Address: </b>USA-IL-Chicago-300 South Riverside Plaza
<br>
<b>Store Code: </b>Sltns Dvlpmnt-Engmnt-Mrkt &amp; Dipla (5118773)
<br>
<br>
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.<br>
<br>
Software Engineer II contributes to the creation of high-quality, innovative, and fully functional software solutions that adhere to coding standards and technical design. This role will contribute to the research, design, development and implementation of new software solutions in addition to enhancing existing software capabilities. This role will also collaborate with other Squad members, stakeholders and the Product team to ensure that products meet business, functional, and technical requirements and are scalable in nature. This will include translating business and technical requirements into well engineered, tested, and deployed technology solutions by gathering user requirements, defining system functionality, and writing code in various languages. The Software Engineer II has the ability to take on smaller projects from start to finish, work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors and trace issues to their source. The Software Engineer II develops solutions to a variety of problems of moderate scope and complexity.<br>
<br>
<b>Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. </b><b>Our core office location is Chicago, IL.
</b><br>
<br>
<b>Applicants must be currently authorized to work in the United States on a full-time basis.</b><b>
</b><br>
<br>
<b>Duties &amp; Responsibilities:</b>
<br>
<ul><li>Develop the technical design for solutions based on the defined scope, requirements, and functional design provided by the Product team and other stakeholders.</li><li>
Build and configure technical components (interfaces, conversions, reports, workflows) so that solution design meets business needs and solution architecture standards.</li><li>
Write and document programming code to meet the gathered requirements.</li><li>
Deliver solutions through ERP or SaaS solutions (e.g. SAP, Manhattan Active WM, Relex)</li><li>
Perform code reviews and quality assurance to ensure compliance to technical standards and business requirements.</li><li>
Collaborate with Squad to support the Product team to create and refine user stories and acceptance criteria.</li><li>
Prepare development and test environments, conduct test readiness to proceed with testing, and collaborate with to execute testing.</li><li>
Fix bugs identified during quality assurance and testing.</li><li>
Continuously reduce technical debt (e.g., create technical debt stories, remove bugs) and decommission legacy applications and solutions.</li><li>
Perform updates and enhancements to the solution, as needed.</li><li>
Release software into production and perform release testing (system integration, mock conversion, parallel, regression, performance and stress, infrastructure).</li><li>
Participates in initiatives for improving way of working in teams and in eliminating technical debt</li><li>
Develops solutions to moderately complex technical issues and problems that impact multiple areas or disciplines.</li><li>
Communicates with internal team members across multiple areas and client team members.</li><li>
Works to influence project/team leaders regarding solution design, process and/or approaches.</li><li>
Delivers high quality work in cross-functional team environments - at times taking on additional technical assessments and responsibilities</li><li>
Contributes and at times leads positive and collaborative solution brainstorming and delivery</li><li>
Has strong self-led work drive and accountability as well as a growing ability to lead team assessments and discussions to achieve assignments (agile, or bimodal).
</li><li>Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed.</li></ul><br>
<b>
Qualifications:</b>
<br>
<ul><li>Bachelors Degree in Computer Science or Technical field; equivalent trainings/certifications/experience equivalency will be considered</li><li>
3 or more years of equivalent experience in relevant job or field of technology</li><li>
Proven work experience as a Software Engineer or Software Developer</li><li>
Experience designing interactive applications</li><li>
Ability to develop software in Java, Cobol, Python, C#, ColdFusion, C++, or other programming languages</li><li>
Excellent knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate)</li><li>
Experience developing web applications using at least one popular web framework (e.g. Angular, Ruby, Django, , Spring, Express)</li><li>
Experience with test-driven development</li><li>
Ability to document requirements and specifications</li><li>
Knowledge of algorithms and data structures</li><li>
Proficiency in troubleshooting software issues and debugging a large codebase</li><li>
Skills: Programming, Testing, Analytical Thinking, Agile Development, Problem Solving, Cybersecurity Risk Management, Data Privacy, Application Security, Technical Troubleshooting</li></ul><br>
<b>
Preferred Qualifications:</b>
<br>
<ul><li>Masters Degree in relevant field of study preferred, Additional trainings or certifications in relevant field of study preferred</li><li>
Experience in Agile teams and or Product/Platform based operating model.</li><li>
Experience in retail or grocery preferred.</li></ul><br>
<b>
IL/MA/MD/NY Salary Range:</b> $101,360-152,040<br>
<br>
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
<br>
<br>
#LI-Hybrid #LI-NG1<br>
<br>
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.<br>
<br>
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.<br>
<br>
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.<br>
<br>
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Software Engineer II

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Full-time Faculty Positions</b></p><br>
<p>Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.</p>
<p></p><p>Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the link/button.</p><br>
<p></p>
<p>Posting Details</p>
<p><b>Job ID:</b> 170896</p>
<b>Rank:</b> Assistant Professor
<p><b>College/School:</b> Chicago, IL - Jarvis College of Computing &amp; Digital Media</p>
<b>Position Description:</b>
<div><p>The School of Computing at DePaul University invites applications for a tenure-track assistant professor position. We are particularly seeking candidates with expertise in <b>Cybersecurity.</b></p>
<p>
The School of Computing houses a robust Cybersecurity Center with state-of-the-art facilities including a newly developed Cybersecurity Lab featuring dedicated server infrastructure for advanced security and privacy research, multi-user attack/defense hands-on experimentation, and extensive AI/ML integration for studying emerging cybersecurity threats. Our cybersecurity program is supported by specialized research labs including the Secure Design Lab and the Actionable Cybersecurity &amp; Accessibility Lab (ACAL), focused on exploring, designing, and developing human-centered, accessible solutions driven towards resilience against any form of deception in cyberspace.</p>
<p>
The School of Computing includes over 70 full-time faculty and more than 3,600 undergraduate and graduate students. We offer a PhD program, 17 master's degrees, and 10 bachelor&rsquo;s degrees as well as a growing number of multidisciplinary CS plus X degrees. The School of Computing is committed to providing a flexible and supportive environment for its faculty, promoting a rewarding academic career with a balance between teaching and research. Located in the heart of Chicago&rsquo;s vibrant downtown, it offers vast opportunities to forge relationships with industry, national laboratories, universities, and other organizations in the Chicago area.</p>
<p>
The School of Computing has several centers of excellence, including Big Data, Cloud Infrastructure, and High-Performance Computing; Visual Computing, Medical Informatics, and Bioinformatics; Web Intelligence and Recommender Systems; Computing Education; Interactive Machine Learning; Cybersecurity and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Intelligent Software Engineering. Over the past decade, faculty within the school have secured more than $15M in NSF funding and consistently published in selective conferences. The culture within the school emphasizes high-impact and high-quality research, rather than placing pressure on faculty to secure external funding or publish many papers. Nonetheless, the university provides extensive support for external funding, as well as a robust internal research grants program, including PhD stipends, graduate assistantships and course releases.</p></div>
<b>Qualifications:</b>
<p>Applicants should have a PhD degree in Computer Science, or a related field.</p>
<b>Application Instructions:</b>
<p>Review of applications will begin on November 14, 2025, and continue until the position is filled.</p>
<p>
The application must include:</p>
<ul>
<li><b>Cover letter</b></li>
<li><b>Curriculum vitae</b></li>
<li><b>Contact information for at least three professional references </b>references will be contacted to upload their recommendations</li>
<li><b>Research statement</b> highlighting both current and future directions of research</li>
<li><b>Teaching statement</b></li></ul><br>
<p></p>
<p>
For more information, contact Vahid Alizadeh (vahid.alizadeh@depaul.edu).</p><br>
<p></p>
<p><b>
General Compensation/Benefits Statement</b><br>
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.</p>
<p>
DePaul University offers excellent benefits, including medical, dental, retirement, paid time off, and tuition benefit. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/Pages/default.aspx.</p>
<p><b>
About DePaul University's Academic Calendar</b><br>
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).</p><br>
<br>
<div><b>Salary Information: </b>The salary range for this 10-month position is $99,000 - $120,000, commensurate with qualifications and experience.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Assistant Professor (Tenure Track) - Cybersecurity (26-27)

Microsoft

<div><b>Overview</b><p><br>
We are hiring a Data Engineer to support the Global Talent Intelligence team. The Global Talent Intelligence (GTI) team sits at the intersection of talent, technology, and strategy&mdash;partnering with senior leaders across Microsoft to anticipate market shifts and inform high‑impact business decisions. At the core of this work is a purpose‑built talent data engine that transforms vast, complex external signals into clear, actionable intelligence.</p><p>
As a<b> </b>Data Engineer on GTI, you will drive the next iteration of design and scale for the infrastructure that powers how Microsoft relies on talent movement as a leading indicator of market movement. This role goes beyond traditional data engineering: you will build curated pipelines, models, and power interfaces that enable GTI to move from manual analysis to proactive and predictive insights&mdash;unlocking earlier visibility into where skills are emerging, where competition is intensifying, and where strategic intervention matters most.</p><p>
Our GTI data engineer works across an unusually rich and diverse signal ecosystem, synthesizing supply and demand dynamics, competitor and investment signals, innovation indicators, emerging talent and skills, and geo‑specific workforce risk factors. These signals power tools and intelligence products that directly influence executive decision‑making&mdash;from workforce planning and site strategy to critical skill investments and long‑term growth bets.This is a highly collaborative role, partnering closely with talent intelligence consultants, analysts, and business stakeholders to ensure data is not only technically sound, but strategically meaningful&mdash;moving insights into action.</p><p><b>
Success in this role requires:</b></p><ul><li>
Strong data engineering fundamentals, paired with modern AI adoption and automation practices</li><li>
A product mindset for designing systems and interfaces that scale, evolve, and drive action</li><li>
Curiosity about how talent dynamics shape markets, strategy, and competitive advantage</li><li>
The ability to create clarity from complexity and translate insight into direction</li><li>
Dedication to building secure, compliant, and validated data systems</li><li>
Creativity and discipline in designing for optimization, reliability, and scale</li></ul><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><b><br>
Responsibilities</b><br>
<div><div><b>
Compliance</b></div><div><div><ul><li>
Anticipates the need for data governance and designs data modeling and data handling procedures, with direct support and partnership with Corporate, External, and Legal Affairs (CELA), to ensure compliance with applicable laws and policies across all aspects of the development process.</li><li>
Tags data based on categorization (e.g., personally identifiable information [PII], pseudo-anonymized, financial).</li><li>
Documents data type, build data dictionary, classifications, and lineage to ensure traceability.</li><li>
Governs accessibility of data within assigned data pipelines.</li><li>
Provides guidance on contributions to the data glossary to document the origin, usage, and format of data for each program.</li><li>
Independently implements data governance and privilege of least access practices leveraging security tools.</li><li>
Builds responsible AI-compliant data products and/or applications.</li></ul></div></div></div><div><div><b>
Data Management and Transformation</b></div><div><div><ul><li>
Plans and creates efficient techniques and operations (e.g., inserting, aggregating, joining) to transform raw data into a form (e.g., dimensional data model) that is compatible with downstream data consumers, databases, and formats that support applications, analytics and reporting.</li><li>
Independently uses software, query languages, and computing tools (e.g., cloud-based) to transform raw data across end-to-end pipelines.</li><li>
Evaluates data to ensure data quality and completeness using queries, data wrangling, and statistical techniques.</li><li>
Merges data into distributed systems, products, or tools for further processing.</li><li>
Identifies opportunities to leverage and contribute to the development of data tools that are used to transform, manage, and access data, scaling with efficiency and reduced time to new data insights.</li><li>
Writes, implements, and validates code to test storage and availability of data platforms and drives the implementation of sustainable design patterns to make data platforms more usable and robust to failure and change.</li><li>
Analyzes relevant data sources that allow others to develop insights into data architecture designs or solution fixes.</li><li>
Identifies data sources and builds code to extract raw data from identified upstream sources using query languages, tools, or application programming interfaces (APIs) while ensuring quality, scale, and reliability of the data across several pipeline components.</li><li>
Contributes to the code review process by providing feedback and suggestions for implementation. Uses knowledge of the end-to-end business case to implement orchestration techniques that automate data extraction logic across multiple sources of data.</li><li>
Leverages data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across a data pipeline, consistent with the service level agreement (SLA).</li><li>
Offers feedback on methods and tools used to track and maintain data source control and versioning.</li><li>
Applies deep knowledge of data to validate that the correct data is ingested and that the data is applied accurately across the pipeline.</li><li>
Creates a data design document.</li></ul></div></div></div><div><div><b>
Data Requirements and Modeling</b></div><div><div><ul><li>
Leads the design of a data model that is appropriate for the project and prepares design specification documents to model the flow and storage of data for a data pipeline.</li><li>
Designs assigned components of the data model for a functional area of a project, while accounting for scale, and industry standards and best practices (e.g., data mesh).</li><li>
Partners with stakeholders (e.g., business partners, Data Science Specialists) to understand the business domain so as to make iterative improvements to design specifications, data models, or data schemas, so that data is easy to connect, ingest, has a clear lineage, and the data model is responsive to work with.</li><li>
Considers tradeoffs between analytical requirements with compute/storage consumption for data and anticipates cost that could be influenced by the cadence of data extraction, transformation, and loading into moderately complex data products or datasets in cloud and local environments.</li><li>
Demonstrates an advanced understanding of security, performance, and costs associated with data that are used to assess the total cost of ownership (TOC).</li><li>
Collaborates with appropriate stakeholders across teams and escalates concerns around data requirements by assessing and conducting feature estimation.</li><li>
Assesses data costs, access, usage, use cases, dependencies across products, and availability for business or customer scenarios related to one or more product features.</li><li>
Informs clients on feasibility of data needs and suggests transformations or strategies to acquire data if requirements cannot be met.</li><li>
Negotiates agreements with partners and system owners to align on project delivery, data ownership between both parties, and the shape and cadence of data extraction for one or more features.</li><li>
Proposes new data metrics or measures to assess data across varied service lines.</li><li>
Defines data source contracts (e.g., nature of data, data schemas, data latency, data availability, data privacy, ethical use of data).</li></ul></div></div></div><div><div><b>
Engineering Fundamentals</b></div><div><div><ul><li>
Performs root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement solutions that minimize points of failure.</li><li>
Implements and monitors self-healing processes across multiple product features to prevent issues from recurring in the future and retain data quality and optimal performance (e.g., latency, cost) throughout the data lifecycle.</li><li>
Uses cost analysis to drive product/program level solutions that reduce budgetary risks.</li><li>
Documents the problem and associated solutions through postmortem reports and shares insights with team and the customer.</li><li>
Provides data-based insights into the health of data products owned by the team according to SLAs across multiple features.</li><li>
Implements and practices both agile and data operations (DataOps) practices.</li><li>
Maintains involvement with, and awareness of current and upcoming data engineering practices (e.g., tools, technology) through Microsoft's internal data community with the purpose of connecting into a data mesh.</li><li>
Writes code to implement performance monitoring protocols across data pipelines.</li><li>
Builds visualizations and smart aggregations (e.g., advanced statistics) to monitor issues with patterns in data quality and pipeline health that could threaten pipeline performance.</li><li>
Develops and updates troubleshooting guides (TSGs) and operating procedures for reviewing, addressing, and/or fixing advanced problems/anomalies flagged by automated testing.</li><li>
Supports and monitors platforms, analyzing telemetry data to understand the health of the systems and takes proactive steps for live site improvement.</li></ul><div><b>
Other</b></div><ul><li>
Embody our culture and values</li></ul></div></div></div><br>
<b>
Qualifications</b><p><b><br>
Required/minimum qualifications</b></p><div><ul><li>
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering<ul><li>
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering</li><li>
OR equivalent experience.</li></ul></li></ul></div><div><b>
Additional or preferred qualifications</b><div><ul><li>
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering<ul><li>
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering</li><li>
OR equivalent experience.</li></ul></li></ul></div><div><ul><li>
2+ years experience with data governance, data compliance and/or data security.</li></ul></div></div><br>
<br>
<br>
<p>Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Data Engineer, Global Talent Intelligence

Crate and Barrel

<div>As a Sales Associate at Crate &amp; Barrel, you guide customers in discovering pieces that transform their homes, driving sales and achieving SPH goals through your product knowledge, exceptional selling skills, and promotion of loyalty programs. You take pride in maintaining a beautifully presented salesfloor, ensuring signage, product care, and brand standards are upheld. Collaborating with your team, you support new teammate onboarding, foster a welcoming environment, and uphold company policies and safety best practices.
<p><b>A day in the life as a Sales Associate...</b></p><ul><li>
Drive sales through engagement of customers, suggestive selling, sharing and demonstrating product knowledge and product expertise</li><li>
Greet and receive customers in a welcoming manner, respond to customer questions, process payments, and involve higher level management as appropriate</li><li>
Communicate and have awareness of applicable promotions, offers, loyalty programs, and other initiatives to customers</li><li>
Possess and demonstrate excellent service and company standards in selling, customer service, visual merchandising and teamwork</li><li>
Lead by example and support store management in holding self and others accountable for store profitability and operational excellence</li><li>
Promote the brand by engaging customers in creative activities and demonstrations</li><li>
Assist with ensuring product and displays on the sales floor are stocked appropriately and available for customers to purchase</li><li>
Engage in, maintain and support store safety standards and training</li><li>
Maintain an awareness of loss prevention, security and safety following the guidelines provided by management or the Human Resources Department and/or as outlined in the Associate Policy Guide</li><li>
Process all incoming and outgoing packages, including customer curbside pick-up orders, ship from store, buy online pickup in store, in a timely manner, as needed</li><li>
Assist in preparing the stockroom for inventory and perform assigned inventory duties, as needed</li><li>
Perform prompt and accurate stock checks, while maintaining an organized and efficient stockroom, as needed</li><li>
Execute and maintain the visual merchandising standards of the sales floor to engage customers and associates with the product, as needed.</li></ul><p></p><p><b>
What you'll bring to the table...</b></p><ul><li>
Excellent interpersonal skills and ability to build rapport with customers and other associates.</li><li>
General office equipment, including computer and printer, Point of Sale (POS) system, AS400 system, company email system, company learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler, calculator, electronic two-way radio with earpiece.</li><li>
Ability to work in a flexible environment, shift quickly as our business evolves, and focus on continuous learning.</li><li>
Engage in, maintain and support store safety standards and training.</li><li>
Demonstrate creative problem-solving to maintain a solutions-oriented and teamwork focus.</li></ul><p></p><p><b>
We'd love to hear from you if you have&hellip;</b></p><ul><li>
Customer service experience preferred</li><li>
Retail experience preferred</li></ul></div>

Sales Associate

<div><div><b>The Highlights:
</b></div><p>As a member of the Reference, Instruction, and Academic Engagement team, the Science and Data Services Librarian will serve as a liaison to the departments of Biological Sciences, Neuroscience, Chemistry &amp; Biochemistry, Physics &amp; Astrophysics, Mathematical Sciences, and Geography &amp; GIS and will play a key role in developing programmatic support of numerical and geospatial data services, including facilitating access to data resources and providing research and instruction support to faculty and students in their use across the curriculum. The position will also collaborate with the Scholarly Communications Librarian and others to support Open Science initiatives on campus.
</p><p>The Science and Data Services Librarian will work in a highly-supportive and collegial culture that encourages active participation in meaningful and valuable skills training and professional development. This includes workshops, committee memberships, and engagement in programs that support the Library&rsquo;s mission and its inclusion, diversity, equity, and accessibility goals, while building connections and partnerships across DePaul&rsquo;s wider academic and user community.<br>
<br>
</p><p><b>What You'll Do:
</b></p><ul><li>Liaison Responsibilities, Research Support, and Instruction
<ul><li>Builds strong working relationships with faculty, students, and staff in assigned areas to understand user needs and facilitate integration of library resources into curricula and research projects across departments, institutes, and centers.
</li><li>Provides reference and research support across multiple formats and venues (e.g. in-person, online chat, Zoom or phone).
</li><li>Develops and delivers in-person and virtual library instruction sessions, training workshops, orientations, and other programming to build users&rsquo; information literacy skills and promote the use of information resources. Participates in the Library&rsquo;s programmatic instruction program supporting students enrolled in first-year writing courses.
</li><li>Creates and develops research guides (&ldquo;LibGuides&rdquo;), online tutorials, and other learning objects that support sciences or cross-disciplinary subject areas, courses, and research activities.
</li><li>In assigned subject areas, builds and maintains collections in a variety of formats that support the current and future teaching, learning, and research needs of DePaul&rsquo;s diverse academic community. Manages library collection funds and monitors budgets in assigned subject areas.
</li></ul></li><li>Data Services
<ul><li>Provides consultation, research support, and instruction in the discovery and use of statistical, numerical, and GIS data resources to the broad campus community.
</li><li>Collaborates with instructors to support the development of students&rsquo; data literacy skills and facilitate the use of data in their classes.
</li><li>Consults with researchers and develops workshops and training sessions on best practices for research data management and sharing, data visualization, and analysis.
</li><li>Evaluates and selects data-related resources and subscriptions as part of the overall collection development strategy.
</li><li>Participates in outreach initiatives aimed at enhancing awareness of data information literacy, resources, and services.
</li></ul></li><li>Open Sciences and Scholarly Communication
<ul><li>Partners with the Scholarly Communication Librarian in implementing open access initiatives and expanding library support for open and public scholarship at DePaul University.
</li><li>Support researchers to make output from their research open, including publications, preprints, and data.
</li><li>Participate in outreach efforts related to open science, the institutional repository, and transformative agreements.
</li><li>Develops programming and documentation on publishing topics, including open data and open science, and works collaboratively with librarians and across the university to promote and support knowledge equity and open access opportunities.
</li><li>Assists science faculty in adopting and creating open educational resources and promotes open pedagogy practices, including renewable assignments and student knowledge creation.
</li></ul></li><li>Professional Development &amp; Service Activities
<ul><li>Keeps up-to-date on the latest developments and best practices in academic librarianship, higher education, and emerging technology through participation in relevant professional organizations, conferences, workshops.
</li><li>Serves on library-wide committees, task forces, or working groups and professional development activities and initiatives.
</li></ul></li>This position will be based primarily at the John T. Richardson Library in Lincoln Park. The position requires occasional travel to DePaul&rsquo;s Loop Campus in downtown Chicago.<br>
<li>
</li></ul><p></p><div><br>
<div><div><b>What You'll Need:
</b></div><ul><li>Master's degree from an ALA-accredited program (or equivalent) required. Bachelor&rsquo;s and/or second master&rsquo;s degree in a field related to science or data preferred.
</li><li>Two (2) years of professional library experience, including at least one year of instruction and reference services or research support in an academic library required.
</li><li>Coursework or demonstrated knowledge and experience with data services, with particular focus on research practices relating to data discovery, data information literacy, geographic information systems, and data management.
</li><li>Familiarity with scientific research practices and science information resources in multiple formats. Experience working with science faculty, students and/or researchers in an academic library setting is preferred.
</li><li>Demonstrated ability to communicate and effectively interact with people across cultural identities and foster an inclusive, equitable, and welcoming environment.
</li><li>Knowledge of national and international trends in scholarly communication and data services.
</li><li>Familiarity with data management requirements of federal agencies
</li></ul><div></div><div><b>The anticipated hiring range for this position is: $56,222 to $68,964.97.
</b></div><div>The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.<br>
</div><div><p><br>
<b>Perks:
</b></p><ul><li>Working for a stable and well-known University.
</li><li>Top choice medical, dental, and vision benefits.
</li><li>Retirement plan matching contribution of 10%.
</li><li>Tuition waivers for employees <i>and </i>dependents.
</li><li>Generous paid time off, sick time, holidays, floating holidays, and more!
</li><li>Full-Time Benefits
</li></ul><div><b>For consideration, please include a resume and cover letter.
</b></div><p><b>Vincentian Mission:
</b><br>
Guided by an ethic of Vincentian personalism and professionalism, DePaul compassionately upholds the dignity of all members of its diverse, multi-faith, and inclusive community. We seek to hire collaborative, open-minded, and dedicated professionals who are committed to advancing our university mission to making education accessible to all, with special attention to including underserved and underrepresented communities. Successful candidates thrive in an environment where ideas and perspectives representing a wide variety of cultures, backgrounds and experiences are welcome and supported.
</p></div><div><p><b>Required Background Check:
</b></p><div>Employment at DePaul University is contingent on passing a background check. Only final candidates who are extended an offer of employment will undergo a background check.<br>
</div><p><br>
<b>DePaul University is an Equal Opportunity employer </b>. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, marital status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws.</p></div></div></div></div>

Science & Data Services Librarian (On-site)

Explore 287+ Lead machine learning data science engineer in House Video Content Creator Jobs In Person Jobs In Person Jobs In Person Jobs In Chicago this March. Find roles across top companies and apply now to boost your career.