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Sargent & Lundy

<div>Description:

Sargent &amp; Lundy is a leading consulting engineering firm specializing in the power and energy sectors. Since 1891, we have provided comprehensive engineering, design, and consulting services for both traditional and renewable power generation, grid modernization, nuclear power, and beyond. Our mission is to help clients achieve their energy goals effectively by leveraging advanced technologies and adopting sustainable practices.
We are seeking an AI &amp; Automation Developer to join our Enterprise Data &amp; Analytics team. This role is central to our growing AI/Automation capability and will serve as a hands-on technical partner to business groups across the organization. The ideal candidate brings demonstrated experience in both artificial intelligence and process automation, with a proven ability to assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems.
As an AI &amp; Automation Developer, you will work directly with business stakeholders to understand their challenges, evaluate whether AI, automation, or a combination of both is the right approach, and then design and deliver end-to-end solutions. This is a growth-oriented role for those passionate about using AI and automation to drive impact in the power and energy sector.
Key Responsibilities
Business Engagement &amp; Feasibility Assessment<ul><li>
Partner directly with business groups to identify pain points, inefficiencies, and opportunities for AI and automation solutions.</li><li>
Conduct structured feasibility assessments for proposed initiatives, evaluating technical viability, data readiness, integration complexity, expected ROI, and organizational readiness.</li><li>
Translate business problems into clearly defined technical requirements, solution approaches, and delivery plans.</li></ul><ul><li>
Present findings, recommendations, and solution options to both technical and non-technical stakeholders, ensuring alignment on scope, value, and approach.</li><li>
Contribute to the intake and prioritization process for AI/automation demand across business groups, helping shape the portfolio backlog.</li></ul> 
AI Solution Development<ul><li>
Research, design, and develop AI-driven solutions and software applications for internal and client-facing needs.</li><li>
Develop and deploy natural language processing (NLP), computer vision, generative AI, and other AI capabilities as applicable to business use cases.</li><li>
Implement retrieval-augmented generation (RAG) patterns, prompt engineering strategies, and AI agent architectures to deliver intelligent automation solutions.</li><li>
Ensure robust, high-quality data for model training and software features by building validation checks and monitoring systems.</li><li>
Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives.</li></ul> 
Automation &amp; Efficiency<ul><li>
Design and implement automation solutions using RPA tools, scripting, workflow platforms, and low-code/no-code technologies (e.g., Power Automate, UiPath, or similar).</li><li>
Identify and automate repetitive business processes, boosting productivity and reliability across teams.</li><li>
Develop integration solutions that connect enterprise systems, APIs, and data sources to enable end-to-end automated workflows.</li><li>
Monitor, maintain, and optimize deployed automations to ensure sustained performance and reliability.</li></ul> 
Software Development &amp; Code Quality<ul><li>
Develop production-grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability.</li><li>
Use rigorous software development practices&mdash;clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards.</li><li>
Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery.</li><li>
Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance.</li><li>
Lead or participate in post-mortems to identify root causes of incidents and implement lessons learned in future releases.</li></ul><div></div> 
Collaborative Development &amp; Cross-Functional Engagement<ul><li>
Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by automation.</li><li>
Collaborate with multidisciplinary teams&mdash;including data scientists, data engineers, business analysts, and subject matter experts&mdash;to deliver comprehensive solutions.</li><li>
Act as a bridge between technical and non-technical teams, helping stakeholders understand how software and AI solutions deliver business value.</li><li>
Participate actively in agile sprint planning, collaborating across functions to align releases with business needs.</li></ul> 
Data Quality, Ethics &amp; Governance<ul><li>
Support responsible AI and software principles, including transparency, data privacy, and bias mitigation.</li><li>
Adhere to S&amp;L&rsquo;s AI governance frameworks, ensuring all solutions comply with security, data privacy, and regulatory requirements.</li><li>
Contribute to thorough documentation of system design, testing, deployment, and ongoing auditing to ensure traceability.</li></ul> 
Strategic Support &amp; Professional Growth<ul><li>
Share AI and automation best practices with colleagues, contributing to mentoring and team-wide knowledge growth.</li><li>
Stay current on evolving trends in AI/ML, RPA, cloud computing, generative AI, and agentic AI; propose new tools and methodologies to improve team output.</li><li>
Support leadership in strategic planning through technical insights from prototypes, pilots, and production deployments.</li><li>
Contribute to the selection, integration, and long-term maintenance of cloud-based AI and software services, prioritizing security and system performance.</li></ul><div></div> 
This position offers the flexibility of a hybrid schedule with the expectation of 3 days per week in our downtown Chicago office, and 2 days remote from home.
Qualifications:

Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>
3+ years of professional experience developing and deploying AI/ML solutions and automation/RPA solutions in a business environment.</li><li>
Demonstrated experience across both AI/ML (e.g., TensorFlow, PyTorch, scikit-learn, LLMs) and process automation (e.g., RPA, Power Automate, scripting, workflow tools).</li><li>
Proven ability to work directly with business stakeholders to assess feasibility, gather requirements, and translate business problems into technical solutions.</li><li>
Strong proficiency in software development (Python preferred), with hands-on experience building production-grade applications.</li><li>
Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases.</li><li>
Experience writing and maintaining automated tests, debugging, and software troubleshooting.</li><li>
Exposure to agile development methodologies (Scrum, Kanban), CI/CD practices, and collaborative development environments.</li><li>
Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud).</li><li>
Understanding of machine learning workflow: data preparation, model training, evaluation, and deployment, alongside best practices in software delivery.</li><li>
Strong analytical and problem-solving capabilities with a demonstrated ability to assess business processes and identify automation opportunities.</li><li>
Excellent communication skills for explaining technical information to both technical and non-technical audiences.</li><li>
Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams.</li></ul><div></div> 
Preferred Qualifications<ul><li>
Experience with generative AI, large language models (LLMs), prompt engineering, and AI agent frameworks.</li><li>
Experience with enterprise integration patterns, APIs, and connecting disparate business systems.</li><li>
Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing).</li><li>
Experience in the power, energy, nuclear, engineering, or professional services industry.</li><li>
Experience conducting structured opportunity assessments, business case development, or cost-benefit analysis for technology initiatives.</li><li>
Certifications in AI/ML, RPA (e.g., UiPath, Microsoft Power Platform), or cloud platforms (AWS, Azure, GCP).</li><li>
Knowledge of data governance, responsible AI principles, and regulatory compliance for sensitive or regulated industries.</li></ul> 
Key Attributes for Success<ul><li>
Consultative Mindset: Naturally engages with business teams to understand the &ldquo;why&rdquo; behind requests, asks the right questions, and proposes solutions that address root causes.</li><li>
Dual-Skilled: Equally comfortable building an ML model and designing an automated workflow; understands when to apply AI, when to apply automation, and when to combine both.</li><li>
Ownership &amp; Follow-Through: Takes end-to-end responsibility for solutions from initial assessment through deployment and ongoing optimization.</li><li>
Bias Toward Action: Moves things forward with urgency and purpose; doesn&rsquo;t let ambiguity stall progress. Actively seeks out opportunities to improve how work gets done.</li><li>
Collaborative &amp; Influential: Builds trust across teams and stakeholders; can navigate complex organizational dynamics with professionalism and clarity.</li><li>
Curious &amp; Growth-Oriented: Stays current with rapidly evolving AI and automation trends; brings new ideas and approaches to the team.</li><li>
Resilient &amp; Adaptable: Thrives in a fast-paced, evolving environment; stays composed under pressure and pivots when circumstances change.</li></ul><div></div> 
We do not sponsor employees for work authorization in the U.S. for this position. 

Award-Winning Benefits:

At Sargent &amp; Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.<div><div><div> 
Health &amp; Wellness</div><div> Financial Benefits</div><div> Work-Life Balance</div></div> 
<div><ul><li>
Health Plans: Medical, Dental, Vision</li><li>
Life &amp; Accident Insurance</li><li>
Disability Coverage</li><li>
Employee Assistance Program (EAP)</li><li>
Back-Up Daycare</li><li>
FSA &amp; HSA</li></ul><ul><li>
401(k)</li><li>
Pre-Tax Commuter Account</li><li>
Merit Scholarship Program</li><li>
Employee Discount Program</li><li>
Corporate Charitable Giving Program</li><li>
Tuition Assistance</li><li>
First Professional Licensure Bonus</li><li>
Employee Referral Bonus</li></ul><ul><li>
Paid Annual Personal/Sick Time (PST)</li><li>
Paid Vacation</li><li>
Paid Holidays</li><li>
Paid Parental Leave</li><li>
Paid Bereavement Leave</li><li>
Flexible Work Arrangements</li></ul></div> 
</div>
Compensation Range: $70,510.00 - $103,820.00 Transparency Statement: Sargent &amp; Lundy discloses compensation ranges that comply with all local and state regulations. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus. Awards &amp; Recognition:
<div></div>
Equal Opportunity:
<div>
Sargent &amp; Lundy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any protected status as defined by applicable law.</div></div>

Artificial Intelligence & Automation Engineer

Bright Vision Technologies

<div>
 Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.
 
 
 We leverage cutting-edge artificial intelligence technologies to build scalable, secure, and production-grade intelligent systems. As we continue to grow, we&rsquo;re looking for a skilled
 
 AI Engineer
 
 to join our dynamic team and contribute to our mission of transforming business processes through technology.
 
 
 This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 
 
 We are looking for
 
 OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people
 
 who are looking for an
 
 H1B sponsorship for the year 2027 quota
 
 .
 
 
 
 Company:
 
 Bright Vision Technologies ( www.bvteck.com )
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Location:
 
 Bridgewater, New Jersey - 08807
 
 
 
 Onsite/Hybrid:
 
 Remote
 
 
 
 FULL-TIME ROLE WITH BRIGHT VISION
 
 
 
 
 Environment:
 
 
 
 Artificial Intelligence, Machine Learning, Python, TensorFlow, PyTorch, Scikit-learn, Deep Learning, Model Training &amp; Evaluation, Feature Engineering, Data Pipelines, RESTful APIs, Model Deployment, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, CI/CD pipelines, Git, Agile methodologies
 
 
 
 BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
 
 
 
 For every role, a
 
 coding test is required
 
 , so apply only if you are
 
 confident and technically strong
 
 .
 
 
 We prefer
 
 at least 3 to 5 years real time experience
 
 .
 
 
 If you are an
 
 AI Engineer
 
 with the above skills and are looking for an
 
 H-1 B sponsorship
 
 this year, please send your resume immediately to
 
 Jaya
 
 
 @bvteck.com
 
 .
 
 
 
 Best Regards,
 
 
 
 
 VENKAT RAJU
 
 
 
 Senior Technical Recruiter
 
 
 Bright Vision Technologies
 
 
 Cell: +1 908-505-3899
 
 
 Email: Venkat.r@bvteck.com
 
 
 Address: #991 Route 22 West, Suite 200,
 
 
 Bridgewater, New Jersey &ndash; 08807
 
 
 we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
 
 
 
 Position offered by &ldquo;No Fee agency.&rdquo;
 
 
 
 Equal Employment Opportunity (EEO) Statement
 
 
 Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
 
 
 BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
 
 
 Powered by JazzHR
 
 
 Jdec9xtakW
</div>

AI Engineer

Chicago Trading Company

<div>
 CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry&rsquo;s most challenging problems and take calculated risks in a collaborative environment.
 
 
 We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better.
 
 
 
 THE ROLE
 
 
 
 As an engineer for Analytics products, you will build and maintain the core data assets that power our Sigma and Dash Dashboards, used by every desk at CTC, from junior traders to executives. Because of this broad user base, the product&rsquo;s surface area is extensive. By ensuring timely feedback for traders, these products support data-driven decision-making, so it is important to understand the essential metrics traders use.
 
 
 
 
 WHAT YOU&rsquo;LL DO
 
 
 
 
 <ul>
 <li>
 Be responsible for the quality, reliability, and overall health of our data pipelines.
 </li>
 <li>
 Work closely with Data Scientists, Traders and Quantitative Researchers (QTs) to understand their needs, and how they use our final data products.
 </li>
 <li>
 Detect source data quality issues that lead to incorrect downstream metrics, and partner with data owners to develop tools to proactively surface and resolve these issues.
 </li>
 <li>
 Assist colleagues in transitioning data pipelines and analytics tools to enterprise-wide standards, and improve the process for future adoptions.
 </li>
 <li>
 Collaborate with the broader data organization to improve our overall platform offering and functionality.
 </li>
 <li>
 Map business workflows to ETL jobs to help own the end-to-end data pipelines.
 </li>
 <li>
 Own and continuously improve the Metrics UI and related dashboards.
 
 
 </li>
 </ul>
 
 
 WHAT WE&rsquo;RE LOOKING FOR
 
 
 
 
 <ul>
 <li>
 Proficiency in constructing and managing data-processing pipelines.
 </li>
 <li>
 Strong proficiency in SQL and object-oriented languages like Python.
 </li>
 <li>
 Strong interpersonal skills with the ability to work in a team environment
 </li>
 <li>
 Hands-on experience with ETL tools (e.g. PySpark) and large-scale, complex data transformations.
 </li>
 <li>
 Experience with lightweight UI or dashboarding frameworks like Dash is a plus.
 
 
 </li>
 </ul>
 
 
 Compensation
 
 
 
 
 The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual&rsquo;s skills, experience, qualifications, and firm performance.
 
 
 Salary Range
 
 
 $175,000&mdash;$200,000 USD
 
 
 Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need.
 
 
 
 
 Our Benefits
 
 
 
 
 We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, quarterly recharge days, and a variety of other benefits focused on providing the best employee experience.
 
 
 
 (Disclaimer: interns and contractors are not eligible for benefits at CTC)
 
 
 
 
 Our Commitment to Diversity, Equity and Inclusion
 
 
 
 At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
 
 
 If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at info@chicagotrading.com. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response.
 
 
 
 Use of Artificial Intelligence (AI)
 
 
 
 Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.
 
 
 
 
 Compensation
 
 
 
 
 The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual&rsquo;s skills, experience, qualifications, and firm performance.
</div>

Data Engineer

Northwestern Medicine

<div>The salary range for this position is $28.40 - $41.18 (Hourly Rate) 
 
Placement within the salary range is dependent on several factors such as relevant work experience and internal equity. For positions represented by a labor union, placement within the salary range is guided by the rules outlined in the collective bargaining agreement. 
 
We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section located at jobs.nm.org/benefits to learn more. 
 
Northwestern Medicine is powered by a community of colleagues who are purpose-driven and committed to our mission to deliver world-class care. Here, you'll work alongside some of the best clinical talent in the nation leading the way in medical innovation and breakthrough research with Northwestern University Feinberg School of Medicine. 
 
We recognize where you've been, and we support where you're headed. We celebrate diverse perspectives and experiences, which fuel our commitment to equity and culture of service. 
 
Grow your career with comprehensive training and development opportunities, mentorship programs, educational support and student loan repayment. 
 
Create the life you envision for yourself with flexible work options, a Reimbursable Well-Being Fund and a Total Rewards package that support your physical, mental, emotional, and financial well-being. 
 
Make a difference through volunteer opportunities we offer in local communities and drive inclusive change through our workforce-led resource groups. 
 
From discovery to delivery, come help us shape the future of medicine. 
<div>Benefits:
<ul><li>$10,000 Tuition Reimbursement per year ($5,700 part-time)</li>
<li>$10,000 Student Loan Repayment ($5,000 part-time)</li>
<li>$1,000 Professional Development per year ($500 part-time)</li>
<li>$250 Wellbeing Fund per year ($125 for part-time)</li>
<li>Matching 401(k)</li>
<li>Excellent medical, dental and vision coverage</li>
<li>Life insurance</li>
<li>Annual Employee Salary Increase and Incentive Bonus</li>
<li>Paid time off and Holiday pay</li> 
</ul></div> 
 
Remote work from Illinois, Wisconsin, Indiana, Missouri, Iowa, or Ohio
Description
The Analytics Support Analyst, reflects the mission, vision, and values of NM, adheres to the organization&rsquo;s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.
The Analytics Support Analyst, under the direction of the department manager, is responsible for providing analytic support for organizational priorities. This includes monitoring issues that arise on a daily basis, while supporting end users with requests, training/education, and other items. This position also works with Analytics Associates and Analytics Consultants to troubleshoot problems/concerns that arise.
Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.
We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.
Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:<ul><li>
Leveraging AI, automation and rollout of advanced cyber controls that support digital transformation strategies</li><li>
Implementing advanced technologies in clinical and administrative areas</li><li>
Furthering development of the end user support model to help enhance modern infrastructure</li></ul>
Responsibilities:<ul><li>
Customer Service
<ul><li>Responds thoroughly and promptly to customer needs and meets Service Level Agreements as defined in conjunction with our customers. Manages customer relationships and follows issues through to closure. Includes all aspects of customers across the health system.</li><li>
Develops a basic understanding of the business and clinical processes within healthcare and the operational environments at NMHC</li></ul></li><li>
Communication Skills<ul><li>
Communicates clearly, responsively, and purposely with customers and team members.
</li><li>Develops effective relationships with users and other team members to enhance the timeliness and effectiveness of solutions where appropriate</li></ul></li><li>
Planning<ul><li>
Seeks to improve talents and skills consistent with overall IS direction</li><li>
Acts as a resource for members of the department</li></ul></li><li>
Teamwork<ul><li>
Shifts among different support roles as required by the situation</li><li>
Adapts to rapid change and manages multiple priorities</li><li>
Contributes to the Analytics documentation and knowledge bases</li></ul></li><li>
General Skills<ul><li>
Develops skills necessary to support users and reporting tools while learning the integrations and interactions with the Analytics department</li><li>
Monitors the Service Now queue and resolves issues while maintaining our Customer Service Level Agreements
</li><li>Adheres to and enhances quality-assurance standards, development and delivery methodologies</li><li>
Contributes to analysis relating to build and functionality of reporting tools to ensure reliability for current and/or future use</li><li>
Develops diagnostic skills and expertise to assist with problem determination and solution across the assigned department and variety of reporting tools.</li><li>
Works collaboratively with and supports multi-departmental efforts and projects.</li><li>
Provides training and support throughout the organization for the use of analytics tools.</li></ul></li></ul>
Qualifications
Required:<ul><li>
0-2 years of experience in a role querying and/or analyzing data.</li><li>
Demonstrated competency with Microsoft Excel, PowerPoint, and/or Access.</li><li>
Effective problem solving and critical thinking skills.</li><li>
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.</li><li>
Effective problem solving and multi-tasking skills.</li><li>
Excellent verbal and written communication skills.</li></ul>
Preferred:<ul><li>
1-3 years of experience in a role querying and/or analyzing data</li><li>
Bachelor&rsquo;s degree in a relevant field.</li><li>
Experience using SQL for data extraction, manipulation, and reporting.</li><li>
Previous healthcare experience, ideally with a health system.</li></ul>
Equal Opportunity<div></div>
Northwestern Medicine is an equal opportunity employer (disability, VETS) and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.
Background Check
Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act.
Artificial Intelligence Disclosure
Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.
Benefits
We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more.
Sign-on Bonus Eligibility (if sign-on bonus offered for position): Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family.</div>

Analytics Support Analyst

CGS Federal (Contact Government Services)

<div>
 Employment Type: Full-Time, Experienced
 
 
 Contact Government Services is hiring an Intelligence Analyst ready to be a member of a dynamic and fast paced intel analysis program for a federal agency supporting the US Government&rsquo;s threat watchlisting and screening mission. As an Intelligence Analyst, you will provide embedded analysis and reach back support to a federal agency and their partners. You will provide multi-source intelligence analysis and fusion that integrates existing national-level products and databases to define patterns of operations. As required, you will interact directly with government leadership and deployed intelligence consumers during the development of intelligence products and ongoing screening operations to meet intelligence requirements across the watchlist enterprise. Duties may include the processing and verification of national security threat actor nominations, data integrity/quality control, encounter management, information sharing, and/or multiple discipline intelligence analysis.
 
 
 CGS brings motivated, highly skilled, and creative people together to solve the government&rsquo;s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
 
 
 Primary Responsibilities
 
 
 Apply complex direction, including standard operating procedures and operations manuals documentation as well as appropriate oral and written guidance received.
 
 
 Communicates clearly and effectively, both orally and in writing, in order to tactfully and persuasively advise and guide executive management relative to a variety of issues which can be delicate in nature; includes making presentations and preparing complete, clear, and concise formal and informal reports, correspondence, briefings, charts, tables, and graphs that are distributed throughout the government and its partner agencies.
 
 
 Conduct research and analysis of data, information, and intelligence to produce a wide range of finished all-source intelligence products. Finished intelligence products shall include standard and non-standard Agency products as well as briefings for the tactical and strategic customers
 
 
 You should be able to provide daily feedback to the team lead.
 
 
 
 Basic Qualifications
 
 
 The ability to learn the range of pertinent laws, regulations, policies, and precedents which affect the program
 
 
 Effective problem-solving, analytic, written and oral communication skills
 
 
 Capacity to work as part of a team to provide multi-faceted intelligence products and support to operational units and Intelligence Community components
 
 
 Knowledge with Microsoft Outlook applications
 
 
 Ability to work with and engage the customer daily
 
 
 Active Top Secret clearance and eligible for a CI Polygraph
 
 
 
 Preferred Qualifications
 
 
 Experience working with IC tools and databases
 
 
 Degree in security or intelligence studies with a recommended focus on terrorism or other transnational security threats is highly desired
 
 
 Two to seven years of Experience
 
 
 Familiarity with programs and software such as Palantir, ESRI, Intel Analyst, ETC.
 
 
 Completion certificate from a commercial, military, or US government all source analysis training course or a specialized intelligence career field.
 
 
 Skills and attributes for success:
 
 
 
 <ul>
 <li>
 Drafting and development of technical documentation related to a variety of projects in the IT space
 </li>
 <li>
 Work closely with project stakeholders to establish technical processes and procedures
 </li>
 <li>
 Document projects through the SDLC
 </li>
 <li>
 Provide status reports for multiple ongoing projects and related documentation efforts
 </li>
 <li>
 Assist with both user and admin level documentation
 
 
 
 
 
 </li>
 </ul>
 Our Commitment:
 
 
 Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client&rsquo;s specific needs. We are committed to solving the most challenging and dynamic problems.
 
 
 For the past seven years, we&rsquo;ve been growing our government-contracting portfolio, and along the way, we&rsquo;ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
 
 Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
 
 We care about our employees. Therefore, we offer a comprehensive benefits package.
 
 
 
 <ul>
 <li>
 Health, Dental, and Vision
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 401k
 </li>
 <li>
 Flexible Spending Account (Health, Dependent Care, and Commuter)
 </li>
 <li>
 Paid Time Off and Observance of State/Federal Holidays
 
 
 
 
 
 </li>
 </ul>
 Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
 
 Join our team and become part of government innovation!
 
 
 Explore additional job opportunities with CGS on our Job Board:
 
 
 https://cgsfederal.com/join-our-team/
 
 
 For more information about CGS please visit: https://www.cgsfederal.com or contact:
 
 
 Email: info@cgsfederal.com
 
 
 #CJ
 
 
 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.
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Intelligence Analyst

Microsoft

<div>Overview 
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.
As a 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.
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.
Success in this role requires:<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>
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. 
Responsibilities 
<div><div>
Compliance</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>
Data Management and Transformation</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>
Data Requirements and Modeling</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>
Engineering Fundamentals</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>
Other</div><ul><li>
Embody our culture and values</li></ul></div></div></div> 

Qualifications 
Required/minimum qualifications<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>
Additional or preferred qualifications<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> 
 
 
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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
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.</div>

Data Engineer, Global Talent Intelligence

Careers In Travel | Destination Planners

<div>
 
 Job Overview
 
 
 
 Destination Knot is seeking a detail-oriented
 
 Remote Reservation Support Specialist
 
 to assist with client reservation requests and provide administrative support related to booking and scheduling services. This is a remote support role focused on customer service, coordination, and accurate data handling within a reservations environment.
 
 
 This position is ideal for individuals who are organized, professional, and comfortable working independently in a remote setting.
 
 
 
 Key Responsibilities
 
 
 
 Assist with reservation and scheduling requests submitted by clients
 
 
 Support booking coordination across various service categories, including accommodations and related services
 
 
 Maintain accurate client records and reservation details in internal systems
 
 
 Communicate professionally with clients via email, phone, or messaging platforms
 
 
 Provide general customer service support and follow established processes
 
 
 Review confirmations and documentation for accuracy and completeness
 
 
 Collaborate with internal teams to ensure a smooth client experience
 
 
 
 Qualifications
 
 
 
 Strong written and verbal communication skills
 
 
 Excellent attention to detail and organizational abilities
 
 
 Comfortable using online systems, email, and basic digital tools
 
 
 Ability to manage multiple tasks while meeting deadlines
 
 
 
 Customer Service Or Administrative Support Experience Preferred
 
 
 
 Reliable internet access and ability to work remotely
 
 
 
 Work Environment
 
 
 
 Fully remote position
 
 
 Flexible scheduling options may be available
 
 
 Supportive, structured team environment
 
 
 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.
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Remote Reservation Support Specialist

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