ai/ml engineer (senior associate) - remote

lead data scientist

sr. financial analyst

ai engineer

ai/machine learning data engineer Jobs in Chicago

ai/machine learning data engineer

ai/ml engineer (senior associate) - remote Jobs in Chicago

senior data engineer

PERMUTE

<div>Senior Data Engineer &ndash; AI Systems 
Employment Type: Full-time 
Company: Permute (www.permute.ai)<h2 class="jobSectionHeader">
Overview</h2>
Permute is seeking a Senior Data Engineer to design, build, and operate the data infrastructure that powers production AI systems. This role is for builders who move quickly, think clearly in ambiguous situations, and take ownership of turning messy data and evolving requirements into reliable, scalable systems.
We care as much about how you think and build as we do about your background. The ideal candidate is someone who can reason through new data problems, prototype quickly, and build robust pipelines and infrastructure in a fast-moving startup environment.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Design and build scalable data pipelines and infrastructure supporting AI and ML systems</li><li>
Develop and maintain data ingestion, transformation, and storage systems for large-scale datasets</li><li>
Build data platforms that support LLM systems, agent workflows, and model evaluation</li><li>
Develop tooling for data quality, validation, monitoring, and observability</li><li>
Collaborate with engineering, product, and ML teams to deliver data systems that power AI features</li><li>
Design systems that enable efficient experimentation, training, and evaluation of models</li><li>
Optimize performance, reliability, and scalability of data infrastructure</li><li>
Operate effectively in ambiguous, rapidly evolving startup environments</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
Strong background in data engineering and distributed systems</li><li>
Experience building scalable data pipelines and data platforms</li><li>
Strong foundation in algorithms, statistics, and data modeling</li><li>
Proficiency with Python and modern data infrastructure tools</li><li>
5+ years building and operating systems in AWS environments</li></ul><h2 class="jobSectionHeader">
Preferred Background</h2><ul><li>
Degree in Mathematics, Physics, Computer Science, or a related technical field</li></ul>
Experience with:<ul><li>
End-to-end production data platforms</li><li>
Streaming and batch data processing systems</li><li>
Data infrastructure supporting ML training, MLOps, evaluation, and deployment</li><li>
Data quality, monitoring, and observability systems</li><li>
Infrastructure supporting AI or LLM-powered applications</li></ul>
Compensation Range: $180K - $280K</div>

Senior Data Engineer

REPLY

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.</div> 
<div></div>
<div> 
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills &mdash; engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><div>
<ul><li>Work directly with clients to understand business goals, data challenges, and technical requirements</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources</li>
<li>Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security</li>
<li>Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams</li>
<li>Contribute to estimation, project planning, and delivery management for client engagements</li>
</ul></div><h3 class="jobSectionHeader">Minimum Requirements</h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li>8 years of experience in data engineering, data platform development, or cloud data solutions</li>
<li>3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB</li>
<li>Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI</li>
<li>Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics &amp; reporting, Apache Spark, and networking requirements</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader">Preferred Qualifications</h3><ul>
<li>Azure Database for PostgreSQL</li>
<li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps</li>
<li>Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance.</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul><div><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
<div>
<div></div><div>The base compensation range for this full-time position is between $130,000-$160,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process.</div>
<div></div>
</div><div>Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div>
</div>
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.</div>

Avison Young

<div>Our Story:

About You: 
You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team&rsquo;s common goal. You value personal and professional growth and are ready to take the next step in advancing your career. 
 
If this sounds like you, well, then you will love the culture at Avison Young! 
 
About Us: 
Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We&rsquo;ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization. 
 
Real estate can have an enormous positive impact on people&rsquo;s lives &ndash; and we&rsquo;re in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people. 
 
We care about each other and we have each other&rsquo;s backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness &ndash; economic, mental and physical &ndash; because what&rsquo;s best for our business comes from our people bringing their whole selves to work.<div>
Of course we love it here, but outsiders think we&rsquo;re pretty great too! Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a row, with a Platinum Club designation!</div>
Overview:

Join Avison Young&rsquo;s dynamic Data Architecture team as a Business Analyst, where you will play a pivotal role in bridging the gap between business stakeholders, users, and developers. You will be instrumental in setting and communicating project and product goals, developing technical requirements, conducting acceptance testing, and overseeing deployments and rollouts. Your work will primarily focus on internal data systems, pipelines, and warehousing projects that support our proprietary products and data visualization teams.<div> 
What we value in a business analyst:</div><ul><li>
Customer-focused: We believe that prioritizing our customers&rsquo; needs is key to driving our business forward.</li><li>
Attention to detail: Managing complex projects with numerous moving parts requires exceptional attention to detail, organizational skills, and clear communication.</li><li>
Diverse thoughts: We value diverse opinions, perspectives, and experiences, as they lead to better outcomes. You actively listen, empathize with others, and seek collaborative paths forward.</li><li>
Team player: You understand that more can be achieved together. You listen to feedback and provide supportive feedback to help others grow and improve.</li><li>
Pragmatic: You know when to take shortcuts that don&rsquo;t compromise quality or maintainability to quickly learn what our customers desire.</li><li>
Global teammate: Comfortable working in a remote environment, you thrive in a global team setting.</li></ul><div></div><div> 
The base salary is aligned with market data and is estimated between $93,000 to $120,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity.</div>
Responsibilities:
<ul><li>Senior technical position focused on analytics engineering with Snowflake and dbt</li><li>
Additional responsibilities as Scrum Master for the data team</li><li>
Lead requirements gathering process for data initiatives</li><li>
Design and implement data models and transformations</li><li>
Drive data team productivity and project delivery</li></ul><div>
Analytics Engineering Responsibilities:</div><ul><li>
Design, develop, and maintain data models in Snowflake using dbt</li><li>
Create efficient SQL transformations for complex business logic</li><li>
Implement data quality testing and documentation</li><li>
Optimize query performance and data pipeline efficiency</li><li>
Establish data modeling standards and best practices</li><li>
Develop reusable analytics components and design patterns</li><li>
Collaborate with data engineers on data ingestion and architecture</li></ul><div>
Co-ordination Responsibilities:</div><ul><li>
Facilitate Agile ceremonies (daily stand-ups, sprint planning)</li><li>
Gather business requirements from stakeholders across departments</li><li>
Translate business needs into technical requirements for the data team</li><li>
Document user stories and acceptance criteria</li><li>
Prioritize backlog items based on business value and technical dependencies</li></ul>
Qualifications:
<ul><li>Expert proficiency in SQL and database management systems.</li><li>
Expert proficiency in writing requirements and testing technology systems.</li><li>
Experience in environment management, deployment management, and testing.</li><li>
Familiar with data warehousing, ETL processes, and data pipelines.</li><li>
Strong analytical skills and complex problem-solving capabilities.</li><li>
Bachelor&rsquo;s degree in Information Technology, Business, or a related field, or equivalent industry experience.</li><li>
At least 4 years of direct experience in a software development-related role.</li></ul>
Workplace Type: On-Site Our Equal Opportunity Commitment:

Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity. 
The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law.<div> 
Avison Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially.</div> 
Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!</div>

<div><h2 class="jobSectionHeader">Description</h2>
<div>
Our Health and Benefits business helps large and mid-size clients control health and welfare plan costs, improve health outcomes and promote employee engagement through broad-based, state-of-the-art interventions. We provide solutions encompassing creative plan design, vendor evaluation and management, pricing and funding strategies, data analytics, valuation support, legal compliance and governance strategies. We also provide specialty consulting services including clinical/health management program design, pharmacy solutions, disability/absence management strategies and claims audit services. Product-based solutions such as our pharmacy purchasing coalition round out our broad-based suite of offerings. 


About the role 


The Principal Data Engineer is a senior, hands‑on technical leader responsible for designing, building, and evolving scalable, reliable, and cost‑efficient data and analytic platforms that power analytics, reporting, and advanced AI/predictive use cases. This role sets engineering standards, drives platform modernization, and mentors engineering teams while partnering closely with architecture, analytics, product, and governance stakeholders. 


Technical Leadership &amp; Architecture
<ul>
<li>Lead the design and evolution of enterprise‑scale data platforms, including ingestion, transformation, storage, and consumption layers</li>
<li>
Define and enforce data engineering standards, patterns, and best practices (e.g., pipeline design, testing, CI/CD, observability)</li>
<li>
Serve as a technical authority on data architecture decisions, trade‑offs, and platform strategy</li>
</ul>
Platform &amp; Pipeline Engineering
<ul>
<li>Design, build, and optimize high‑performance batch and streaming data pipelines</li>
<li>
Improve reliability, performance, scalability, and cost efficiency of existing data assets</li>
<li>
Implement reusable frameworks and reference architectures to accelerate delivery across teams</li>
</ul>
Databricks &amp; Lakehouse Focus (Strongly Preferred)
<ul>
<li>Design and operate Databricks‑based lakehouse solutions using Delta Lake, Spark, and notebooks/jobs</li>
<li>Establish best practices for Databricks workspace architecture, security, performance tuning, and cost management</li>
<li>Lead or support migrations to Databricks and modernization of legacy data pipelines</li>
</ul>
Data Quality, Governance &amp; Security
<ul>
<li>Partner with data governance and security teams to embed data quality checks, metadata, lineage, and access controls into pipelines</li>
<li>Ensure platforms support regulatory, compliance, and enterprise risk requirements</li>
</ul>
Cross‑Functional Collaboration
<ul>
<li>Work closely with data architects, analytic engineers, data scientists, product owners, and business stakeholders</li>
<li>Translate business and analytic requirements into scalable technical solutions</li>
<li>Influence roadmaps by tying platform investments to measurable business outcomes</li>
</ul>
Mentorship &amp; Engineering Excellence
<ul>
<li>Mentor senior and mid‑level engineers; raise the overall technical bar of the team</li>
<li>Lead by example through hands‑on contribution to critical pipelines and platform components</li>
</ul></div><h2 class="jobSectionHeader">Qualifications</h2>
<div>
The Requirements
<ul>
<li>University or college degree in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field of study.</li>
<li>8+ years of experience in data engineering or platform engineering roles</li>
<li>Deep expertise in building large‑scale data pipelines and platforms in cloud environments (Azure, AWS, or GCP)</li>
<li>Strong proficiency with distributed data processing (e.g., Spark)</li>
<li>Advanced SQL and strong Python programming skills</li>
<li>Experience designing data models and architectures for analytics and downstream consumption</li>
<li>Experience in data ingestion tools such as Matillion, FiveTran, Airbyte, etc. a plus</li>
<li>Strong analytical skills and experience with data modeling</li>
<li>Strong project management and organizational skills</li>
<li>Proven ability to work independently and with a team</li>
<li>Extensive hands‑on experience with Databricks and Lakehouse architecture strongly preferred</li>
<li>Experience with Delta Lake, Spark optimization, and cost/performance tuning strongly preferred</li>
<li>Experience supporting advanced analytics, machine learning, or AI‑driven use cases</li>
<li>Familiarity with modern data tooling (e.g., orchestration, data quality frameworks, metadata/catalog tools)</li>
<li>Prior experience setting engineering standards or leading platform modernization initiatives</li></ul> 


Technical Competencies

Subject Matter Expertise 

<ul>
<li>Developing expertise<ul>
<li>You strengthen your depth and/or breadth of subject matter knowledge and skills across multiple areas.</li>
<li>You define the expertise required in your area based on emerging technologies, industry practices. You build the team&rsquo;s capability accordingly.</li>
</ul></li><li>Applying expertise<ul><li>

You apply subject matter knowledge and skills across multiple areas to assess the impact of complex issues and implement long-term solutions. You foster innovation using subject matter knowledge to enhance tools, practices, and processes for the team. 

</li></ul>
</li></ul>Solution Development
<ul>
<li>Systems thinking<ul>
<li>You lead and foster collaboration across H&amp;B Data Platform Technology to develop solutions to complex issues.</li>
<li>You apply a whole systems approach to evaluating impact, and take ownership for ensuring links between structure, people and processes are made.</li>
</ul></li><li>Focusing on quality<ul><li>

You instill a quality mindset to the team and ensure the appropriate methods, processes and standards are in place for teams to deliver quality solutions. You create and deliver improvement initiatives. 

</li></ul>
</li></ul>Technical Communication
<ul>
<li>Simplifying complexity<ul><li>
You develop tools, aids and/or original content to support the delivery and/or understanding of complex information. You guide others on best practice.</li></ul>
</li><li>Influencing stakeholders<ul><li>
You are adaptive across a range of situations, effectively tailoring your delivery methods based on your knowledge of stakeholders to have maximum impact and influence.</li></ul>
</li>
</ul>This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified. 


Compensation and Benefits 


Benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). 


Compensation

The base salary compensation range being offered for this role is $180,000.00-$225,000.00 USD annually.

This role is also eligible for an annual short-term incentive bonus. 


Company Benefits

WTW provides a competitive benefit package which includes the following (eligibility requirements apply):
<ul>
<li>Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&amp;D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)</li>
<li>
Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off</li>
<li>
Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.</li></ul> 


Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records. 


EOE, including disability/vets</div></div>

Principal Data Engineer - H&B Data & Analytics Platform

The Hartford

<div>Sr Staff Data Engineer - GE07DE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
T07
A new role can expand your knowledge and your network and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.
The Enterprise Data Services Department&rsquo;s Personal Insurance team is seeking a hands-on Sr Staff Data Engineer to build and scale its Data assets on Snowflake and AWS platform. The role focuses on technical leadership, integrating data from new data sources, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud technologies.
Ideal candidates bring deep expertise in data engineering frameworks and tools, proficiency in programming languages, and experience with DevOps / DataOps pipelines, cloud platforms, and agile methodologies. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environment.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.
Key Responsibilities:
Design, develop, and optimize highly scalable batch and near‑real‑time data pipelines supporting structured and unstructured data sources (XML, JSON, Parquet). 
Lead the delivery of curated, analytics‑ready data products supporting reporting, advanced analytics, regulatory, and machine learning use cases.
Implement robust error handling, reconciliation, restartability, and performance optimization to ensure platform reliability and data integrity.
Partner with Data Governance team for metadata management, data lineage, data quality monitoring and data privacy controls.
Evaluate and apply AI‑assisted engineering tools to improve developer productivity, accelerate delivery, and enhance data solutions.
Qualifications, Required Skills &amp; Experience:
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related discipline. 
8+ years of progressive experience in data engineering, with significant hands‑on expertise developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake. 
5+ years of hands-on experience with Python and PySpark / Spark for data ingestion, transformation, and pipeline development.
Deep hands‑on experience with Snowflake, including SQL development, ELT design, performance optimization, and semi‑structured data handling.
Good experience working with disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data.
Good experience with version control tools, CI/CD pipelines and DevOps tools like GitHub, Jenkins, Nexus and uDeploy. 
Strong background in Data Profiling, Data Modeling and Data governance concepts is key to this role. 
Nice to have<ul><li>
Certifications in AWS Data &amp; Analytics Services, AI and Snowflake.</li><li>
Experience using AI‑assisted development tools to improve productivity in SQL development, data pipeline creation, testing, and documentation.</li><li>
Experience in the Insurance industry and policy administration data environments</li><li>
Experience with Informatica Data Management Cloud</li></ul>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

Sr Staff Data Engineer

Rise, a Quad agency

<div>
 Rise is an
 
 award-winning
 
 , full-service
 
 Media Agency of Record
 
 that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with
 
 transparency at its core
 
 , specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing.
 
 
 We offer "Risers" the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency. We're looking for talent like you who can continue to elevate our work and culture.
 
 
 Rise is seeking a
 
 Sr Analyst, Analytics, Data Engineering
 
 to assist the agency in the development and management of data-processing initiatives supporting a variety of clients. The successful candidate will be able to design workflows that encapsulate various acquisition, hygiene, and transformative requirements while supporting automation and scalability. Developing a high degree of familiarity and expertise with our client&rsquo;s data is a marker of success.
 
 
 The successful candidate will be able to effectively communicate with business stakeholders who will present business requirements: the technical design and implementation of solutions that resolve these business-focused requirements is a key measure of the candidate's value.
 
 
 
 Locations: Sussex, WI or Chicago, IL &ndash; 4 days in office
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build data processing workflows to support analytic initiatives across MSSS and Snowflake platforms utilizing T-SQL, Python, Pyspark, Alteryx. Understand the merits of the various toolsets for any given solution.
 </li>
 <li>
 Take business-focused direction from key stakeholders and translate, design, and implement those requirements onto the appropriate technology platforms available to the team.
 </li>
 <li>
 Perform ETL/hygiene on disparate data from a variety of sources. Integrate that data into a variety of platforms.
 </li>
 <li>
 Build complex SQL queries to resolve analytic-focused requests.
 </li>
 <li>
 Understand/Implement performance-tuning of processes.
 </li>
 <li>
 Create complex data models supporting specific analytic consumption in SQL Server and/or Snowflake.
 </li>
 <li>
 Be able to use a combination of various tools to develop integrated systems in support of recurring analytic processes.
 </li>
 <li>
 Regularly identify opportunities for internal process enhancement.
 </li>
 <li>
 Extract insights from data and provide recommendations to improve our clients&rsquo; marketing efforts.
 </li>
 <li>
 Ability to evaluate various programmatic tools/approaches to determine the best platform.
 </li>
 <li>
 Interface with clients to understand their needs and subsequently design/manage/build accurate solutions.
 </li>
 <li>
 Implement vigilant process/results auditing to ensure QC.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 Education:
 
 BA/BS in Programming, Engineering, or other quantitative fields.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 2-4 Years Programming experience using MS SQL. Additional skills in Alteryx, Python, PySpark/Snowpark are highly valued
 </li>
 <li>
 Experience with media or marketing campaigns either from client-side work or agency-side experience a plus.
 
 
 </li>
 </ul>
 
 Knowledge, Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Familiarity interfacing with cloud-based data sources such as Snowflake, S3, Redshift.
 </li>
 <li>
 Collaborative problem-solving mindset
 </li>
 <li>
 Intellectually curious, resourceful, with business savvy
 </li>
 <li>
 Clear and concise communication skills
 
 
 </li>
 </ul>
 
 Employees can be expected to be paid an annualized salary range of $65,000-$75,000, based on variations in knowledge, skills, experience and market conditions.
 
 
 
 Rise and Quad are proud to be an equal opportunity employers. We are committed to creating a place of belonging &mdash; a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Rise and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Rise and Quad also prohibit harassment of applicants and employees based on any of these protected categories.
 
 
</div>

Sr Analyst, Analytics, Data Engineering

Diversified

About Diversified: 
Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world’s most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.
 
What to Expect: 
At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.
 As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.
 IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.
 
How You’ll Contribute: 
The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights.
 
What You’ll Do: 
<ul>
<li>Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics.</li>
<li>Develop medallion or similar data architectures within OneLake.</li>
<li>Optimize performance, cost, and scalability across Fabric workloads.</li>
<li>Establish CI/CD processes and DevOps practices for Fabric deployments.</li>
<li>Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks.</li>
<li>Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities.</li>
<li>Design dimensional and semantic models to support PowerBI and enterprise analytics.</li>
<li>Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC).</li>
<li>Ensure regulatory compliance (eg., GDPR, SOC 2).</li>
<li>Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices.</li>
<li>Support incident response and root-cause analysis for production workloads.</li>
<li>Translate business requirements into technical architecture.</li>
<li>Collaborate with analytics, BI, data science, and application development teams.</li>
</ul>
What You’ll Bring:Education/ Certifications: 
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience).</li>
</ul>
Required Skills/Qualifications: 
<ul>
<li>5+ years of experience in data engineering, data warehousing, or analytics engineering.</li>
<li>2+ years of hands-on experience with Microsoft Fabric.</li>
<li>Experience designing lakehouse architectures at enterprise scale.</li>
<li>Proficiency in SQL, Python, Spark, etc.</li>
<li>Experience deploying and managing Microsoft Purview for governance and lineage.</li>
<li>Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals).</li>
<li>Understanding of Azure/Fabric billing and utilization analysis.</li>
<li>Experience with CI/CD pipelines (Azure DevOps or GitHub Actions).</li>
<li>Strong analytical and problem-solving skills.</li>
</ul>
Preferred Skills/Qualifications: 
<ul>
<li>Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate).</li>
<li>Experience with Synapse Link.</li>
<li>Experience with DataBricks</li>
<li>Experience with MDM platforms (esp. Profisee).</li>
<li>Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow</li>
<li>Experience integrating streaming or near real-time data workloads.</li>
<li>Familiarity with PowerBI semantic models and enterprise BI governance.</li>
<li>Experience implementing data quality frameworks and metadata-driven pipelines.</li>
<li>Knowledge of Delta Lake and open table formats.</li>
<li>Master’s degree in a quantitative or technical discipline.</li>
</ul>
What We Offer: 
Along with competitive compensation, you will be eligible for the following benefits:
 <ul>
<li>Multiple medical plan options to suit your family’s needs</li>
<li>Dental (including orthodontic coverage) and vision plans</li>
<li>Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401k with Employer Match</li>
<li>Paid Time Off and Paid Holidays</li>
<li>Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services</li>
<li>Commuter Benefits</li>
<li>And much more</li>
</ul>
To learn more about becoming part of the Diversified team, visit us at our career siteor email us at careers@onediversified.com.
 Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.
 If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact careers@onediversified.com so we can assist you.
 Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Senior Microsoft Fabric Data Engineer

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