Redshift Jobs in Chicago.
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Senior Data Scientist-Intelligent Assignment Engine (Hybrid)
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About Rewards Network
For 41 years, Rewards Network has been helping restaurants grow revenue, increase traffic, and boost customer engagement through innovative financial, marketing services, and premier dining rewards programs. By offering unique card-linked offers, we introduce diners to fantastic restaurant experiences, leveraging advanced technology and data analytics to deliver value to restaurants, diners, and our strategic partners' loyalty programs.
Our Culture
At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential.
Job Overview
We’re seeking a Senior Data Scientist with strong technical depth across data science, large-scale data pipelines, and production ML/data systems. Experienced leading the execution of complex data engineering and data science workstreams including batch pipelines processing hundreds of millions to billions of records, orchestration, customer segmentation, feature generation and management, and real-time or near-real-time assignment systems.
This role requires someone who is equally comfortable driving technical architecture decisions, defining and evolving data attributes and metrics, and bridging the gap between business stakeholders and the engineering and data teams. The right candidate will be able to operate as a technical lead and guide a team without formal management responsibility.
This is a hybrid position that requires in office presence 3 days a week (Tuesday-Thursday) in Chicago.
What you’ll bring to the table: (Responsibilities)
Short term specific:
Oversee SLAs across the Intelligent Assignment Engine (IAE) pipeline (batch completion, feed delivery, attribute freshness, assignment turnaround) and drive activity-based classification and tiering of members and merchants, ensuring definitions, thresholds, and refresh cadences are aligned with business and downstream consumption needs.
Design and build the offer priority scoring framework used to rank eligible offers per member, including score definition, input features (member attributes, merchant attributes, behavioral signals, business priorities), weighting logic, and validation against business objectives, and evolve the scoring model as personalization and ML capabilities mature.
- Provide technical leadership and execution guidance across the IAE pipeline, including nightly batch assignment processing, member and merchant attribute management, eligibility evaluation logic, and S3-based data feed production
- Lead the design, generation, and ongoing management of customer segmentation and feature pipelines, including member group construction, attribute bucketing strategy, and the production of feature sets used for offer eligibility evaluation and targeting
- Lead the design and optimization of large-scale data processing workflows handling hundreds of millions to billions of records, including partitioning strategy, bulk ingestion, and performance tuning
- Own the evolution of the IAE attribute pipeline including member and merchant attribute design, metric definition, bucketing strategy, and ongoing quality validation, and drive alignment with business stakeholders on open decisions (tier boundaries, bucket values, time windows, metric design)
- Provide architectural guidance on the development of a real-time synchronous API layer for offer assignment, including near-real-time member enrollment and user-triggered assignment events, and ensure sound integration with the broader batch pipeline
- Oversee the analytics mart maintenance and incremental build-out post-MVP, ensuring data models remain accurate, performant, and aligned with evolving reporting needs
- Act as the primary technical bridge between business stakeholders (product, marketing, finance) and the IAE/data engineering team, translating business requirements into data pipeline and attribute requirements and translating data constraints back into business-legible terms
- Guide and review the work of junior data scientists and data engineers on the IAE team, providing technical direction and prioritization support without formal people management responsibility
- Collaborate with the Nova platform team and engineering to ensure IAE outputs meet downstream data contracts, S3 feed schemas, and serve the offer assignment pipeline reliably
- Define and maintain data contracts between IAE and downstream consumers (Nova, analytics marts, dashboards)
- Identify and surface data quality risks, pipeline gaps, and go-live readiness issues across IAE's attribute and assignment outputs
- Build and maintain documentation of IAE architecture, data models, pipeline logic, attribute definitions, and feature generation processes to reduce key-person dependency and support team continuity
- Contribute to the future development of offer personalization and recommendation capabilities, including A/B testing frameworks, behavioral modeling from member dining habits, and an informed point of view on how ML and generative AI approaches can evolve the assignment and eligibility engine over time.
Do you have the right mix of ingredients: (Requirements)
- Master’s degree in data science or related field
- 5+ years of experience in a data science role
- Proven ability to define and operate pipeline SLAs and data freshness guarantees, including monitoring, alerting, and incident response for batch and near-real-time data workflows.
- Demonstrated track record designing activity-based segmentation and tiering frameworks (e.g., RFM-style models, engagement tiers, merchant activity classifications), including threshold definition, refresh cadence design, and validation against business outcomes.
- Hands-on background designing and implementing scoring, ranking, or recommendation frameworks, including feature selection, weighting strategies (rule-based, heuristic, and/or ML-driven), and evaluation against business objectives; familiarity with evolving such systems from deterministic scoring toward ML-based personalization.
- Strong technical foundation across data science and data engineering; this is not a purely analytical role and the person must be comfortable owning and directing production pipeline work
- Proven experience designing and managing customer segmentation pipelines and feature generation at scale, including the construction and lifecycle management of member groups, derived attributes, and reusable feature sets
- Experience designing and leading large-scale data processing systems (hundreds of millions to billions of records), including batch pipeline architecture, partitioning, staging, and performance optimization
- Experience with workflow orchestration (Airflow/MWAA or equivalent) and AWS data services (S3, Glue, Aurora/PostgreSQL)
- Strong SQL and Python skills; ability to review, guide, and produce production-quality data pipeline code
- Understanding of event-driven architectures and Kafka-based data replication patterns
- Experience with or strong understanding of real-time or near-real-time data systems and ability to provide architectural guidance even if not the primary builder
- Ability to design, define, and document data attributes, metrics, and eligibility logic from business requirements
- Experience working with large-scale member or customer data in a personalization, targeting, loyalty, or recommendation context
- Demonstrated ability to work cross-functionally and influence without authority; comfortable in stakeholder-facing conversations and capable of holding a business conversation and a technical one in the same meeting
- Self-directed and autonomous; able to own a workstream end-to-end and provide leadership direction to others with minimal oversight
- Strong written and verbal communication; able to produce clear documentation and present findings to non-technical audiences
Nice to Have:
- Experience with offer, loyalty, dining, or hospitality platforms
- Familiarity with Scala or JVM-based systems, particularly in the context of real-time API or microservice architectures that the data pipeline integrates.
- Experience with analytics engineering (dbt or similar) or oversight of BI data model layers
- Familiarity with CDC-based replication patterns and data synchronization between systems
- Familiarity with ML model deployment and serving (AWS SageMaker, Bedrock, or equivalent), A/B testing frameworks, and an understanding of how foundation models and RAG-based architectures can be applied to personalization and recommendation use cases at scale. This is a direction the platform is moving toward and the right candidate will have an informed point of view on it.
Tech Stack:
- Aurora (PostgreSQL) / SQL
- Python
- AWS (S3, Glue, Redshift, CloudWatch, MSK)
- Airflow (MWAA)
- Kafka / Kafka Connect
- Scala / Kubernetes: familiarity and architectural awareness required; not expected to be the primary builder
What you’ll love about us:
Comprehensive benefits package, which includes:
- This is a full-time, exempt position. The base salary range for this role in Chicago is $135,000–$150,000 annualized, depending on level, candidate experience, skills, and other factors. This role is also eligible for an annual bonus target of 10%, bringing total target compensation to $148,500–$165,000.
- Competitive Time Off Benefits: including flexible PTO, 11 company holidays, and parental leave.
- Generous dining reimbursement when you dine with our restaurant clients
- 401(k) plan with a company match
- Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants)
- Partnership with Rx n Go, offering certain prescriptions for free
- Two dental plan options and a vision plan
- Flexible Spending Accounts and a pre-tax commuter benefit program
- Accident, Critical Illness, and Hospital Indemnity Insurance Plans
- Short Term and Long Term disability
- Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance
- Employee Life Assistance Program
- Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays.
Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.
Ready to apply?
Apply to Rewards Network
Senior Data Scientist-Data & Personalization Platform (Hybrid)
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About Rewards Network
For 41 years, Rewards Network has been helping restaurants grow revenue, increase traffic, and boost customer engagement through innovative financial, marketing services, and premier dining rewards programs. By offering unique card-linked offers, we introduce diners to fantastic restaurant experiences, leveraging advanced technology and data analytics to deliver value to restaurants, diners, and our strategic partners' loyalty programs.
Our Culture
At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential.
Job Overview
We're looking for a Senior Data Scientist to help lead the technical evolution of a large-scale personalization and assignment platform. You'll design and own the data systems that match members to offers — from batch pipelines processing hundreds of millions to billions of records to the scoring frameworks that decide what each member sees.
This is a senior individual contributor role with technical leadership scope. You won't have direct reports, but you'll help set technical direction, guide junior data scientists and engineers, and own workstreams end-to-end. The platform is actively evolving toward ML-driven personalization and generative AI, and we're looking for someone who wants to help shape that direction.
This is a hybrid position that requires in office presence 3 days a week (Tuesday-Thursday) in Chicago.
What you’ll bring to the table: (Responsibilities)
- Design and own the scoring framework that ranks eligible offers per member — defining features, weighting logic, and validating against business outcomes, then evolving it from deterministic scoring toward ML-driven personalization.
- Lead segmentation and feature pipelines: member group construction, derived attributes, bucketing strategy, and reusable feature sets for eligibility evaluation and targeting.
- Architect and optimize large-scale batch processing workflows handling hundreds of millions to billions of records, including partitioning, bulk ingestion, and performance tuning.
- Define and operate SLAs across the pipeline: batch completion, feed delivery, attribute freshness, and assignment turnaround.
- Provide architectural guidance on a near-real-time assignment API layer and its integration with the broader batch pipeline.
- Define and maintain data contracts with downstream consumers (analytics marts, dashboards, adjacent platforms) and oversee the incremental build-out of analytics data models.
- Translate between business stakeholders (product, marketing, finance) and the engineering team — comfortable holding a business conversation and a technical one in the same meeting.
- Document architecture, data models, pipeline logic, and feature generation processes to reduce key-person dependency and support team continuity.
- Shape the future roadmap for personalization and recommendations, including A/B testing frameworks, behavioral modeling from member activity, and the role of ML and generative AI in assignment and eligibility.
Do you have the right mix of ingredients: (Requirements)
- Master’s degree in data science or related field
- 5+ years of experience in a data science role
- Strong technical foundation across both data science and data engineering — this role owns and directs production pipelines, not just analysis.
- Proven experience designing and leading large-scale data processing systems (hundreds of millions to billions of records), including batch architecture, partitioning, staging, and performance optimization.
- Track record designing activity-based segmentation and tiering frameworks (e.g., RFM-style models, engagement tiers, merchant activity classifications) — from threshold definition through refresh cadence and validation against business outcomes.
- Hands-on background building scoring, ranking, or recommendation frameworks, with feature selection, weighting strategies (rule-based, heuristic, or ML-driven), and evaluation against business objectives; experience evolving such systems from deterministic scoring toward ML-based personalization.
- Experience designing and managing customer segmentation pipelines and feature generation at scale, including the lifecycle management of member groups, derived attributes, and reusable feature sets.
- Experience with workflow orchestration (Airflow/MWAA or equivalent) and AWS data services (S3, Glue, Aurora/PostgreSQL).
- Strong SQL and Python skills — able to review, guide, and produce production-quality data pipeline code.
- Understanding of event-driven architectures and Kafka-based data replication patterns.
- Experience with or strong understanding of real-time or near-real-time data systems, and the ability to provide architectural guidance even when not the primary builder.
- Ability to define pipeline SLAs and data freshness guarantees, including monitoring, alerting, and incident response for batch and near-real-time workflows.
- Experience working with large-scale member or customer data in a personalization, targeting, loyalty, or recommendation context.
- Demonstrated ability to work cross-functionally and influence without authority; self-directed and able to own a workstream end-to-end with minimal oversight.
- Strong written and verbal communication; able to produce clear documentation and present findings to non-technical audiences.
Nice to Have:
- Experience with offer, loyalty, dining, or hospitality platforms.
- Familiarity with Scala or JVM-based systems, particularly in real-time API or microservice contexts that integrate with data pipelines.
- Experience with analytics engineering (dbt or similar) or oversight of BI data model layers.
- Familiarity with CDC-based replication patterns and data synchronization between systems.
- Familiarity with ML model deployment and serving (AWS SageMaker, Bedrock, or equivalent), A/B testing frameworks, and an informed point of view on how foundation models and RAG-based architectures can be applied to personalization and recommendation at scale.
Tech Stack:
- Aurora (PostgreSQL) / SQL
- Python
- AWS (S3, Glue, Redshift, CloudWatch, MSK)
- Airflow (MWAA)
- Kafka / Kafka Connect
- Scala / Kubernetes — architectural awareness required; not expected to be the primary builder
What you’ll love about us:
Comprehensive benefits package, which includes:
- This is a full-time, exempt position. The base salary range for this role in Chicago is $135,000–$150,000 annualized, depending on level, candidate experience, skills, and other factors. This role is also eligible for an annual bonus target of 10%, bringing total target compensation to $148,500–$165,000.
- Competitive Time Off Benefits: including flexible PTO, 11 company holidays, and parental leave.
- Generous dining reimbursement when you dine with our restaurant clients
- 401(k) plan with a company match
- Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants)
- Partnership with Rx n Go, offering certain prescriptions for free
- Two dental plan options and a vision plan
- Flexible Spending Accounts and a pre-tax commuter benefit program
- Accident, Critical Illness, and Hospital Indemnity Insurance Plans
- Short Term and Long Term disability
- Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance
- Employee Life Assistance Program
- Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays.
Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.
Ready to apply?
Apply to Rewards Network
Lead Actuarial Analyst, MA Risk Adjustment
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How You’ll Make An Impact
At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey.
Our work reduces emergency visits, improves outcomes, and helps patients live fuller lives. You’ll work alongside passionate Strivers who care deeply about making an impact, show up for one another as One Team, and find ways to elevate the everyday.
If you’re looking for meaningful work where your contributions truly matter, you’ll feel right at home at Strive!
Benefits & Perks
- Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits.
- Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts.
- Financial & Retirement Support – Competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources.
- Time Off & Leave – Paid holidays, vacation time, sick time, and paid birthgiving, bonding, sabbatical, and living donor leaves.
- Wellness & Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend.
To learn more about our offerings, click here.
What You'll Do
We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics).
Essential Functions
- Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting).
- Analyze CMS data to identify areas of opportunity to increase operational efficiency.
- Interpret trends, model scenarios, and assess program and policy impacts.
- Enable data-driven decisions by linking operational performance to enterprise financial outcomes.
- Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls.
- Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.).
- Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted.
Who You Are
- A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity.
- Able to manage a high volume of recurring and ad hoc deliverables without compromising quality.
- Comfortable navigating ambiguity and bringing structure to complex problems.
- An exceptional communicator who can translate technical findings into actionable business recommendations.
Qualifications
- 4+ years of experience in risk adjustment analytics.
- 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data.
- 3+ actuarial exams passed.
- High degree of proficiency in Microsoft Excel and SQL.
- Experience with PBI, Redshift, dbt docs is a plus.
- Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance).
Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10%
Final compensation will be determined based on location, experience, and qualifications.
Strive Health is an equal opportunity employer and drug free workplace. At this time Strive Health is unable to provide work visa sponsorship. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please apply even if you feel you do not meet all qualifications. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to talentacquisition@strivehealth.com.
We do not accept unsolicited resumes from outside recruiters/placement agencies. Strive Health will not pay fees associated with resumes presented through unsolicited means.
Ready to apply?
Apply to Strive Health
Product Lead
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Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor
About Us
We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.
We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.
Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.
Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.
We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.
And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.
About the role
We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value.
This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.
What you’ll do
Discovery & Prioritization
- Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
- Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
- Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
Delivery & Execution
- Scope projects with realistic estimates and clear milestones that deliver value early and often.
- Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
- Lead small pods of engineers and operators to ship high-quality, on-time solutions.
- Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
- Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
AI & Technical Fluency
- Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
- Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
- Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
- Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
Culture & Excellence
- Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
- Codify lessons into playbooks so the client builds lasting product capability.
- Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
Minimum qualifications
- 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
- Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
- Experience leading small engineering teams or pods with high accountability.
- Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
- Excellent communicator who can flex for end users, engineers, and executives.
- Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
- Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
- Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
- Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
- Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
- Above all, be someone that people admire, because you’re having fun doing great work.
Why this role is different
Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come.
Ready to apply?
Apply to Human Agency
Senior AI Software Engineer
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FIS® Amount™ provides a unified digital origination and decisioning platform that helps financial institutions meet the moment. Designed to scale with banks and credit unions at any stage of their digital journey, FIS® Amount™ delivers a seamless, digital-first experience—streamlining everything from loan origination to deposit account opening. With built-in fraud orchestration and risk management, FIS® Amount™ enables financial institutions to control risk across any product while optimizing performance and enhancing security. Our flexible, modular platform is backed by enterprise-grade infrastructure and compliance, allowing institutions to launch new offerings in months, not years. Learn more at www.fisglobal.com.
We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?
A DAY IN THE LIFE:
As an AI Software Engineer, you’ll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You’ll balance hands-on development of backend services and APIs with designing scalable AI integration patterns, building experimentation frameworks, and ensuring seamless deployment across our technology stack.
You’ll work closely with product managers to translate business needs into technical implementations, collaborate with data scientists on model integration, and guide teams on adopting the latest AI capabilities. You’ll drive rapid test-and-learn cycles, prototyping solutions that unlock significant business opportunities. You’ll also champion best practices for responsible AI implementation, ensuring our solutions are scalable, reliable, and maintainable.
This role is perfect for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation, turning cutting-edge technology into practical business solutions.
Team: Embedded within the AI Pathfinder team, collaborating across a cross-functional group of ~8–10 engineers, data scientists, and product managers within the Technology zone
Similar job titles: AI Platform Engineer, AI Engineer
WHAT WE’LL TRUST YOU TO DELIVER:
AI Solution Development
- Design and build backend services and APIs that deploy AI-powered features using foundational models
- Implement scalable architectures supporting AI workflows, automation, and data processing pipelines
- Create end-to-end solutions that translate high-level business problems into functional AI implementations
- Build experimentation frameworks enabling rapid iteration and deployment of AI functionalities
System Integration & Architecture
- Integrate AI services into complex technology stacks, ensuring seamless interoperability
- Connect AI capabilities with microservices, AWS platform components, and Redshift data systems
- Manage complex dependencies across multi-stack environments
- Ensure system reliability, scalability, and maintainability
Innovation & Experimentation
- Drive test-and-learn cycles with rapid prototyping of AI-driven solutions
- Evaluate and adopt new AI frameworks, tools, and capabilities
- Build proof-of-concept solutions for the company’s most exciting problems
- Stay current with the evolving AI ecosystem to guide technical decisions
Cross-Team Collaboration
- Partner with product managers to understand and translate business requirements
- Work with data scientists on model integration and optimization
- Coordinate with frontend engineers on API design and feature delivery
- Document system designs, APIs, and workflows for knowledge sharing
WHAT YOU LIKELY BRING TO THE TABLE:
- 5+ years of backend software engineering with strong Python skills; experience with Java is a plus
- Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis)
- Deep understanding of cloud infrastructure (AWS Services, Bedrock), container orchestration (Kubernetes, Docker), and CI/CD pipelines
- Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases)
- Practical knowledge of AI orchestration frameworks and data pipeline tooling (Redshift, Temporal)
- Test-and-learn mindset with strong rapid prototyping abilities
- Excellent communication skills for both technical and business stakeholders
- Experience with responsible AI principles, data privacy, and system reliability
NOTE:
- Most positions are hybrid (3 days onsite) in our FIS Office locations in Chicago (Illinois), Milwaukee (Wisconsin), Atlanta (Georgia) and Jacksonville (Florida).
- Current and future sponsorship not available for this position
Privacy Statement
- FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
- FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
- For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
- Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
Ready to apply?
Apply to FIS® Amount™
RAPP Chicago is looking for a Data Engineer to join our award-winning Technology team.
WHO WE ARE:
We are RAPP – world leaders in activating growth with precision and empathy at scale.
As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.
We foster an inclusive workplace that emphasizes personal well-being.
HOW WE DO IT:
At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.
Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.
Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets
YOUR ROLE:
We are looking for a Data Engineer who is eager to learn and grow while contributing to the development of scalable, cloud‑native data pipelines and platforms. The ideal candidate has foundational knowledge of Python and an interest in building data workflows using modern technologies such as Apache Airflow, AWS Lambda, DynamoDB, and dbt. You should have a strong curiosity for how data systems operate, a willingness to learn best practices in data engineering, and a motivation to support advanced analytics, as you gain hands‑on experience.
YOUR RESPONSIBILITIES:
- Data Pipeline Development
- Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
- Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
- Implement and optimize dbt models for analytics and transformations.
- Data Architecture & Storage
- Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
- Ensure high availability, scalability, and performance of data systems.
- Integrate structured, semi-structured, and unstructured data sources.
- Automation & Orchestration
- Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
- Automate infrastructure deployment and CI/CD pipelines for data services.
- Quality & Governance
- Implement data validation, testing, and monitoring frameworks.
- Ensure compliance with security, privacy, and governance standards.
REQUIRED SKILLS
- 1–3 years of experience in data engineering, software engineering, or a related role.
- Proficiency in Python for data engineering and automation.
- Familiarity with Apache Airflow for workflow orchestration.
- Basic understanding of AWS Lambda and serverless design patterns.
- Exposure to DynamoDB (schema design and performance considerations).
- Knowledge of dbt for data transformation and analytics modeling.
- Experience working in cloud environments (AWS preferred).
- Understanding of CI/CD workflows, Git, and DevOps practices.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with other AWS services (S3, Glue, Redshift, Kinesis).
- Familiarity with data warehouse and data lake architectures.
- Exposure to real-time streaming and event-driven data pipelines.
- Knowledge of containerization (Docker, Kubernetes).
Soft Skills
- Exceptional attention to detail and organizational skills.
- Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
- Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
- Proactive problem-solver who can identify issues and suggest improvements.
- Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.
Our hybrid work model:
RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.
RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $81,000 - $97,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.
“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”
NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
Ready to apply?
Apply to RAPP
RAPP Chicago is looking for a Senior Data Engineer to join our award-winning Technology team.
WHO WE ARE:
We are RAPP – world leaders in activating growth with precision and empathy at scale.
As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.
We foster an inclusive workplace that emphasizes personal well-being.
HOW WE DO IT:
At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.
Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.
Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets.
YOUR ROLE:
We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows.
YOUR RESPONSIBILITIES:
- Data Pipeline Development
- Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
- Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
- Implement and optimize dbt models for analytics and transformations.
- Data Architecture & Storage
- Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
- Ensure high availability, scalability, and performance of data systems.
- Integrate structured, semi-structured, and unstructured data sources.
- Automation & Orchestration
- Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
- Automate infrastructure deployment and CI/CD pipelines for data services.
- Quality & Governance
- Implement data validation, testing, and monitoring frameworks.
- Ensure compliance with security, privacy, and governance standards.
- Collaboration & Leadership
- Partner with analytics, product, and engineering teams to deliver reliable datasets.
- Mentor junior engineers and enforce best practices in data engineering.
- Actively contribute to improving team efficiency, scalability, and standards.
REQUIRED SKILLS:
- 5–8+ years of experience in data engineering, software engineering, or a related role.
- Strong expertise in Python for data engineering and automation.
- Hands-on experience with Apache Airflow for orchestration.
- Proficiency with AWS Lambda and serverless design patterns.
- Solid experience with DynamoDB (schema design, performance tuning, scaling).
- Strong knowledge of dbt for transformation and analytics modeling.
- Experience with cloud environments (AWS preferred).
- Familiarity with CI/CD workflows, Git, and DevOps practices.
- Strong problem-solving and communication skills.
Preferred Qualifications
- Experience with other AWS services (S3, Glue, Redshift, Kinesis).
- Familiarity with data warehouse and data lake architectures.
- Exposure to real-time streaming and event-driven data pipelines.
- Knowledge of containerization (Docker, Kubernetes).
Soft Skills
- Exceptional attention to detail and organizational skills.
- Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
- Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
- Proactive problem-solver who can identify issues and suggest improvements.
- Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.
Our hybrid work model:
RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.
RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $90,000 - $99,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.
“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”
NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
Ready to apply?
Apply to RAPP
Why project44?
At project44, we believe in better.
We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.
We’re hiring a technical, hands-on Product Manager to scale ML-powered products (ETA, risk, anomalies/exceptions, network insights) while building Data Science as a Platform—reusable capabilities that accelerate model development, deployment, monitoring, and governance across multiple product areas.
You’ll partner daily with Data Science, ML Engineering, Data Engineering, Platform Engineering, and Product teams to ship production ML and establish repeatable, measurable ML delivery.
Key Accountabilities
- Own the roadmap for applied ML capabilities beyond ETA (risk scoring, exception prediction, anomaly detection, carrier/network performance insights), from discovery to launch and iteration.
- Define and deliver a DS/ML platform: feature management, experimentation, model registry, deployment patterns, monitoring/observability, governance, and self-serve tooling.
- Translate customer workflows into ML problem statements: labels/targets, constraints, SLAs, interpretability, and “do no harm” launch gates.
- Drive evaluation and experimentation: offline metrics/back testing, online testing (A/B, holdouts), and measurable business impact.
- Partner with engineering on batch + real-time inference architectures, streaming/event-time feature needs, and reliability (SLOs, incident playbooks).
- Establish and track platform success metrics: time-to-first-model, deployment frequency, reuse rate, model performance stability, incident rate, and ROI.
Minimum Qualifications
- 5–8+ years Product Management experience with 3–4+ years focused on DS/ML-driven products (or equivalent)
- Demonstrated ability shipping end-to-end ML systems to production and iterating based on outcomes
- Strong technical fluency across the ML lifecycle (data → features → training → serving → monitoring → retraining)
- Ability to operate between Sr and Principal: sets direction, aligns stakeholders, and drives execution across multiple teams
- Excellent written communication (PRDs, decision docs) and crisp cross-functional leadership
- In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly
Technical skills (experience with many of the following)
- SQL (strong) and working knowledge of Python / notebooks / data analysis workflows
- Data platforms: Snowflake / BigQuery / Redshift / Databricks (Delta Lake)
- Orchestration & ETL: Airflow / Dagster / Prefect, dbt, Spark
- Streaming/event systems: Kafka / Kinesis / Flink
- MLOps: experiment tracking/model registry (MLflow / Weights & Biases), pipelines (Kubeflow / SageMaker Pipelines / TFX / Flyte/ Tensor flow), serving (SageMaker / Vertex AI / Databricks Model Serving / KServe / BentoML)
- Feature stores: Feast / Tecton / SageMaker Feature Store
- Monitoring/observability: Arize / WhyLabs / Evidently + Prometheus/Grafana/Datadog
- Platform fundamentals: Docker/Kubernetes, API design (REST/gRPC), SLAs/SLOs, security & PII basics
- LLMs/GenAI (RAG, embeddings, vector DBs like Pinecone/Weaviate/Milvus), evaluation + guardrails
Preferred
- Experience in logistics / supply chain / transportation or other high-volume operational domains
- Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and enterprise exception workflows
- Platform product experience with internal “developer” customers and adoption metrics
Diversity & Inclusion
We're designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique communities we are building for. So it's up to us to create a company where anyone can bring their authentic self to work everyday. We're constantly working to improve, and we accept our responsibility to elevate the voices left in the margins. It's on every one of us.
Our focus on inclusion manifests in the way we hire, the customers we serve, and the regions we prioritize. We're building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.
We pride ourselves on celebrating everyone — project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!
For any needed accommodations during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
Ready to apply?
Apply to project44
Data Analyst – Inspire11
Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.
At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.
- Growth Through Challenge: We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively.
- The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next.
- Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be.
What you can expect in this role:
As a Data Analyst, you will serve as a bridge between data and decision-making. You’ll uncover insights, design data products, and help clients realize value through analytics. Your responsibilities will include:
- Uncovering client needs through stakeholder interviews, process mapping, and exploratory data analysis.
- Assessing and interpreting raw data sets to evaluate trends, data quality, performance metrics, and the accuracy of business logic.
- Designing and building impactful dashboards and reports using tools like Power BI, Tableau, or Looker.
- Profiling and interpreting data to identify patterns and translate them into actionable, insight-driven recommendations.
- Leveraging cloud data platforms (e.g., Snowflake, Databricks, Redshift, Synapse) to access and analyze data at scale.
- Interfacing directly with clients throughout the project lifecycle—gathering requirements, sharing insights, and iterating on deliverables.
- Collaborating cross-functionally with data engineers, architects, and solution owners to deliver holistic solutions.
- Facilitating Agile ceremonies and co-creation workshops with clients to shape iterative, high-impact solutions.
- Exploring opportunities to apply AI and GenAI to automate insights, accelerate reporting, or enhance decision intelligence.
Tools for success:
We’re looking for analysts who combine technical acumen with consulting savvy and a growth mindset. Ideal candidates bring:
- 2+ years of consulting experience with a focus on data analysis, BI, or analytics strategy.
- Strong SQL skills, with experience analyzing large datasets and building queries to uncover trends, metrics, and data relationships.
- Hands-on experience with data visualization tools such as Power BI, Tableau, or equivalent.
- Exposure to modern cloud data platforms, including Snowflake, Databricks, Redshift, or Synapse.
- Familiarity with AI and machine learning concepts—and a willingness to explore how GenAI (e.g., ChatGPT, Copilot) can support faster analysis and insight generation.
- Excellent communication and storytelling skills, including experience presenting findings to external stakeholders.
- Comfort in dynamic, cross-functional environments, with an agile mindset and a collaborative working style.
- This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships.
Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.
Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/
U.S. Compensation & Benefits
Compensation at Inspire11
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.
Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.
Bonuses
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.
Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.
Options or Other Equity in Inspire11
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.
Benefits
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:
- Medical insurance plans,
- Dental insurance plans, and
- Vision insurance plans.
Full-time employees are eligible for the following benefits provided wholly by the Company:
- Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;
- Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;
- Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;
- A connectivity stipend of $325 annually;
- Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.
Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.
Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:
- Flexible savings accounts
- Limited-purpose flexible savings accounts
- Healthcare savings accounts
- Dependent care savings accounts
- Commuter benefit accounts
Paid Time Off and Leave
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.
In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.
Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.
Other Benefits
Inspire11 also maintains other programs that provide additional benefits to employees, such as:
- Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.
- Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.
- Regular gifts of Inspire11 clothes, office items, and swag.
Disclaimer
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.
Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.
EEOC
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.
Ready to apply?
Apply to Inspire11
Data Architect – Inspire11
Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.
At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.
- Growth Through Challenge: We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively.
- The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next.
- Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be.
What you can expect in this role:
As a Data Architect, you will design the technical backbone of our clients’ data ecosystems—enabling scalable analytics, AI, and automation. You’ll lead the architecture of modern data platforms, shape technical strategy, and ensure secure, reliable delivery across complex environments.
- Design and implement cloud-native data architectures across AWS, Azure, GCP, and Databricks to support advanced analytics and AI solutions.
- Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python, connecting structured and unstructured data sources into unified models.
- Build and optimize enterprise data platforms, including data lakes, warehouses (Snowflake, Redshift, Synapse, BigQuery), and semantic/dimensional models.
- Ensure data privacy, security, and compliance, incorporating masking, tokenization, retention policies, and metadata-driven governance frameworks.
- Implement infrastructure-as-code, CI/CD pipelines, and testing frameworks to drive scalable, automated, and resilient deployments.
- Conduct deep data profiling and validation, shaping architectural decisions based on source quality, lineage, and business context.
- Translate business needs into scalable designs, using source-to-target mappings, conceptual wireframes, and technical documentation.
- Identify opportunities to integrate AI and machine learning, leveraging practical use cases such as intelligent data quality, metadata automation, and ML feature stores.
- Support client engagement and pre-sales, presenting architectural strategies, influencing decisions, and mentoring delivery teams.
Tools for success:
The ideal candidate combines deep technical expertise with a strategic mindset and the ability to lead clients and teams through complex transformations. You should bring:
- 8+ years of experience in data architecture, data engineering, or enterprise cloud platform design.
- Advanced proficiency in SQL and Python, with hands-on experience building scalable ELT/ETL solutions.
- Deep familiarity with cloud data platforms, including Snowflake, Databricks, Redshift, Synapse, BigQuery, and related tools.
- Expertise in data modeling (relational, dimensional/star schema), metadata management, and performance optimization.
- Strong understanding of DevOps and infrastructure-as-code, including Git, Terraform, CI/CD pipelines, and automated testing.
- Working knowledge of AI/ML, with the ability to identify where intelligent automation or predictive modeling can enhance architectural solutions.
- Excellent communication and consulting skills, with the ability to explain complex technical designs to non-technical stakeholders.
- Proven leadership in technical strategy, solution design, and team mentorship in a dynamic consulting environment.
- This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships.
Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.
Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/
U.S. Compensation & Benefits
Compensation at Inspire11
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.
Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.
Bonuses
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.
Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.
Options or Other Equity in Inspire11
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.
Benefits
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:
- Medical insurance plans,
- Dental insurance plans, and
- Vision insurance plans.
Full-time employees are eligible for the following benefits provided wholly by the Company:
- Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;
- Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;
- Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;
- A connectivity stipend of $325 annually;
- Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.
Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.
Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:
- Flexible savings accounts
- Limited-purpose flexible savings accounts
- Healthcare savings accounts
- Dependent care savings accounts
- Commuter benefit accounts
Paid Time Off and Leave
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.
In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.
Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.
Other Benefits
Inspire11 also maintains other programs that provide additional benefits to employees, such as:
- Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.
- Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.
- Regular gifts of Inspire11 clothes, office items, and swag.
Disclaimer
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.
Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.
EEOC
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.
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