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senior solution architect

data architect

Credera

<div><div>Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.</div>
As a Senior Architect in Credera's Data capability group, you will lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools. Additionally, you will seek out new business development opportunities at existing and new clients.

WHO YOU ARE:
<ul>
<li>You have a minimum of 8+ years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture</li>
<li>Experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement</li>
<li>You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success</li>
<li>You have a passion for leading teams and providing both formal and informal mentorship</li>
<li>You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level</li>
<li>You have a deep understanding of data governance and data privacy best practices</li>
<li>You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows</li>
<li>You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study</li>
<li>The ideal candidate will have recent technical knowledge of the following:</li>
<li><ul><li>Programming languages (e.g. Python, Spark, Java, C++, Scala, etc.)</li>
<li>SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.)</li>
<li>Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)</li>
<li>Stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.)</li>
<li>Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)</li>
<li>MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow)</li>
<li>Container Orchestration (e.g. Kubernetes, Docker Swarm, etc.)</li>
<li>Metadata management tools (Collibra, Atlas, DataHub, etc.)</li>
</ul></li><li>Experience with the data platform components on one or more of the following cloud service providers:</li>
<li><ul><li>AWS</li>
<li>Google Cloud Platform</li>
<li>Azure</li>
</ul></li>
</ul>Basic Qualifications
<ul>
<li>Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success</li>
<li>Contribute in a team-oriented environment</li>
<li>Prioritize multiple tasks in order to consistently meet deadlines</li>
<li>Creatively solve problems in an analytical environment</li>
<li>Adapt to new environments, people, technologies and processes</li>
<li>Excel in leadership, communication, and interpersonal skills</li>
<li>Establish strong work relationships with clients and team members</li>
<li>Generate ideas and understand different points of view</li>
</ul><div>
Learn More: Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.
Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits: Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare &amp; Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com.

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why: In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

Travel: For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%&ndash;30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.</div></div>

Senior Architect, Data

<div><div>Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.</div>
We are looking for an enthusiastic GenAI and LLM Architect to add to Credera's Data capability group. Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The architect should be familiar with the deployment of enterprise scale models into a production environment; this includes leveraging full development lifecycle best practices for both cloud and on-prem solutions across a variety of use cases.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements and serve as a technical expert in client communications. On a typical day, you might expect to participate in design sessions, provision environments, and coach and lead junior resources on projects.

WHO YOU ARE:
<ul>
<li>Proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions</li>
<li>5+ years of hands-on statistical modeling and/or analytical experience in and industry or consulting setting</li>
<li>Master's degree in statistics, mathematics, computer science or related field (a PhD is preferred)</li>
<li>Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)</li>
<li>Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation</li>
<li>Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation</li>
<li>Experience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineering</li>
<li>Advanced knowledge of relational and non-relational databases (SQL, NoSQL)</li>
<li>Proficient in large-scale distributed systems (Hadoop, Spark, etc.)</li>
<li>Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.)</li>
<li>Passion for leading teams and providing both formal and informal mentorship</li>
<li>Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity</li>
<li>Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience</li>
<li>Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level</li>
<li>Stay current with AI/ML trends and research; be a thought leader in AI area</li>
<li>Experience with implementing machine learning models in production environments through one or more cloud platforms:</li>
<li><ul><li>Google Cloud Platform</li>
<li>Azure cloud services</li>
<li>AWS cloud services</li>
</ul></li>
</ul>Basic Qualifications
<ul>
<li>Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success</li>
<li>Contribute in a team-oriented environment</li>
<li>Prioritize multiple tasks in order to consistently meet deadlines</li>
<li>Creatively solve problems in an analytical environment</li>
<li>Adapt to new environments, people, technologies and processes</li>
<li>Excel in leadership, communication, and interpersonal skills</li>
<li>Establish strong work relationships with clients and team members</li>
<li>Generate ideas and understand different points of view</li>
</ul><div>
Learn More: Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.
Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits: Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare &amp; Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com.

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why: In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

Travel: For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%&ndash;30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.</div></div>

GenAI Architect

Realign

<div>Chicago, Illinois 60018 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title: ServiceNow Technical Architect</div><div>
Location: Chicago, IL- Remote</div><div>
Experience: 12&ndash;16+ Years</div><div>
Employment Type: Full-Time Employee (FTE)</div><div></div><div> 
Role Overview</div><div>
We are looking for a highly experienced ServiceNow Technical Architect to join our organization as a full-time employee and take ownership of the enterprise ServiceNow platform. This role is responsible for defining long-term architecture, ensuring platform stability and scalability, and leading multi-module implementations across ITSM, ITOM, CSM, and HRSD. The ideal candidate is a hands-on architect who can balance strategic thinking with deep technical execution and mentorship.</div><div></div><div> 
Job Description</div><ul><div>
Strong communication and stakeholder engagement skills -ability to present complex solutions clearly to executives and technical teams.</div><div>
Proven hands-on experience with:</div><ul><div>
ITIS &ndash; CMDB, Incident, Problem, Change, Knowledge, Request Management.</div><div>
ITOM &ndash; Discovery, Event Management, Service Mapping, CMDB integrations.</div><div>
HRSD &ndash; Case and Knowledge Management, Employee Center, Lifecycle Events.</div>
GRC &ndash; Policy and Compliance, Risk Management, Audit, and Vendor Risk modules.</ul><div>
Deep understanding of ServiceNow data models, scripting (Glide, JavaScript), Flow Designer, Integration Hub, and API integrations.</div><div>
Familiarity with CSDM (Common Service Data Model) and its alignment with ITOM/CMDB design.</div><div>
Experience integrating ServiceNow with enterprise tools such as Azure AD, Workday, Splunk, and monitoring.</div></ul><div>
Roles &amp; Responsibilities:</div><ul><div>
Architect and design end-to-end ServiceNow solutions across ITIS, ITOM, HRSD, and GRC modules.</div><div>
Lead technical governance, ensuring adherence to best practices, platform security, and performance standards.</div><div>
Collaborate with business process owners, enterprise architects, and developers to design and implement integrated workflows.</div><div>
Guide and mentor development teams on customizations, integrations, and platform upgrades.</div><div>
Establish and enforce coding, configuration, and design standards within ServiceNow.</div><div>
Conduct design reviews and ensure technical alignment across all implementations.</div><div>
Participate in stakeholder discussions and effectively communicate architectural decisions to both technical and non-technical audiences.</div><div>
Stay current with ServiceNow releases and recommend adoption of new features to improve service delivery.</div></ul>
Required Skills
PERFORMANCE ARCHITECT</div>

ServiceNow Technical Architect (Remote)-6

Artius Solutions

<div>Salesforce Solution Architect
Location: Chicago, IL (Hybrid) 
Employment Type: Full-Time
Overview
A financial services organization, is seeking a Salesforce Solution Architect to design and deliver scalable Salesforce solutions supporting enterprise business operations.
This role will work closely with business stakeholders, engineering teams, and enterprise architecture groups to translate complex business requirements into well-architected Salesforce solutions. The Salesforce Solution Architect will define solution designs, guide delivery teams, and ensure implementations align with enterprise technology strategy and architectural standards.
The ideal candidate brings strong experience designing Salesforce platforms in enterprise environments, along with the ability to lead architecture decisions and guide delivery teams through implementation.
Key Responsibilities Business &amp; Solution Architecture
<ul><li>Analyze business requirements and translate them into scalable Salesforce architecture solutions.
</li><li>Design technology solutions that balance performance, scalability, security, and cost.
</li><li>Define system architecture across Salesforce and integrated enterprise platforms.
</li></ul>Salesforce Platform Architecture
<ul><li>Architect Salesforce implementations across Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud.
</li><li>Define data models, integration patterns, and security architecture.
</li><li>Ensure solutions align with enterprise architecture standards and best practices.
</li></ul>Integration &amp; Enterprise Systems
<ul><li>Design integration architectures between Salesforce and enterprise systems.
</li><li>Evaluate middleware, APIs, and event-driven architectures for system connectivity.
</li><li>Ensure reliable data exchange between Salesforce and other enterprise applications.
</li></ul>Architecture Governance
<ul><li>Participate in architecture governance processes and technology reviews.
</li><li>Present solution architectures for technical review and approval.
</li><li>Ensure proposed solutions align with technology standards and long-term architecture strategy.
</li></ul>Implementation Oversight
<ul><li>Provide guidance to development and delivery teams during solution implementation.
</li><li>Review technical designs and ensure alignment with approved architecture.
</li><li>Support teams in resolving technical challenges during development and deployment.
</li></ul>Stakeholder Collaboration
<ul><li>Work closely with business stakeholders to understand domain requirements.
</li><li>Communicate architectural decisions to both technical and non-technical audiences.
</li><li>Build consensus among stakeholders to support technology initiatives.
</li></ul>Mentorship &amp; Leadership
<ul><li>Mentor engineers and developers on Salesforce architecture and best practices.
</li><li>Provide technical leadership across delivery teams and architecture groups.
</li><li>Contribute to improving architecture standards and engineering practices.
</li></ul>Qualifications Education
<ul><li>Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent experience
</li></ul>Experience
<ul><li>7+ years of experience in information technology roles
</li><li>5+ years leading Salesforce implementation projects
</li><li>1 3 years of experience in solution or enterprise architecture roles
</li></ul>Salesforce Expertise
<ul><li>Deep experience with Salesforce platforms including:
<ul><li>Sales Cloud
</li><li>Service Cloud
</li><li>Marketing Cloud
</li><li>Experience Cloud
</li></ul></li><li>Experience designing enterprise Salesforce architectures and integrations.
</li></ul>Certifications
Preferred Salesforce certifications such as:
<ul><li>Salesforce Administrator
</li><li>Advanced Administrator
</li><li>Platform App Builder
</li><li>Additional Salesforce Architect certifications are a plus
</li></ul>Additional certifications that are beneficial:
<ul><li>AWS certifications
</li><li>TOGAF or enterprise architecture certifications
</li></ul>Technical Skills
<ul><li>Strong knowledge of:
<ul><li>Cloud computing platforms
</li><li>Integration architecture and APIs
</li><li>Event-driven and domain-driven architectures
</li><li>Enterprise application architecture
</li><li>Data modeling and system design
</li></ul></li></ul>Additional Skills
<ul><li>Strong communication skills and ability to explain complex technical concepts
</li><li>Ability to influence stakeholders and drive architecture decisions
</li><li>Strong analytical and problem-solving capabilities
</li><li>Experience working in highly regulated or enterprise environments is beneficial
</li></ul>.</div>

Salesforce Solution Architect

GE HealthCare

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
The GEHC Advanced Visualization Solutions (AVS) segment, a fast-growing business in GE HealthCare, is the global leader in ultrasound medical devices and solutions. The portfolio spans the continuum of care to enable customers with ultrasound screening, diagnosis, treatment and monitoring of diseases. Our customers are seeking to improve efficiency in radiology and beyond and increase user confidence to provide better clinical outcomes continues to grow. Consequently, the need for AI, digital solutions, and automation, connecting devices and software in one seamless ecosystem continues to proliferate.
 
 
This person will design and build comprehensive data solutions that will power GE Healthcare&rsquo;s AVS segment&rsquo;s next generation of analytics and AI. In this hands-on role, you will design and build curated semantic layers, scalable pipelines, and enterprise-grade sematic models &ndash;whilst layering in AI-powered capabilities using approved platforms as the foundation matures. 
 
**No sponsorship or OPT for this role**<h1 class="jobSectionHeader">
Job Description</h1>
**No sponsorship or OPT for this role**
As the Data Engineer of the AVS Digital Transformation team, you&rsquo;ll bridge enterprise data strategy with segment-specific innovation to deliver self-service analytics, conversational AI, predictive insights and intelligent automation within AVS.
1. Build an AI-Ready Data Foundation (40%)<ul><li>
Design and implement curated, semantic data layers (dimensional models, business definitions), ensuring accuracy, traceability, and AI/ML readiness for BI and generative AI use cases.</li><li>
Design scalable SQL-based pipelines to transform raw and enterprise data into analytics-ready assets</li><li>
Implement data quality frameworks, lineage, and governance, according to standards set by the central data office team.</li></ul>
2. Elevate Analytics &amp; Self-Service (35%)<ul><li>
Lead enterprise-grade Power BI semantic model design (Dataflows, composite models, aggregations) to enable low-latency, high-performance reporting for executives and analysts.</li><li>
Integrate and extend enterprise semantic models with AVS-specific business logic and conformed dimensions, aligning definitions across the segment.</li><li>
Define best practices for DAX, M, and workspace governance (deployment pipelines, refresh strategies) within team to advance BI maturity and self-service</li><li>
Partner with visualization analysts and business leaders to translate requirements into trusted, performant models and reusable domain data products.</li></ul>
3. Drive AI &amp; Advanced Analytics Adoption (25%)<ul><li>
Design AI-ready semantic layers and metadata that enable natural-language querying, conversational analytics, automated retrieval and intelligent workflows</li><li>
Build and deploy AI solutions using enterprise-approved platforms. Implement operational forecasting, anomaly detection and segmentation.</li><li>
Engage central AI/ IT for evaluation, architecture guidance and enterprise deployment of AI use cases that exceed approved platform capabilities</li></ul>
Required Qualifications<ul><li>
8+ years in data architecture/engineering delivering dimensional models, curated marts, and production pipelines in cloud environments (e.g., AWS Redshift/S3/Glue, Microsoft Fabric/Azure, ADF or equivalent).</li><li>
Mastery of SQL, DAX, and Power Query (M); strong performance tuning and model optimization at scale.</li><li>
Deep Power BI experience: semantic modeling, composite models, aggregations, dataflows, and Fabric integration.</li><li>
Hands‑on with Copilot Studio, Fabric Data Agents, or AWS Bedrock.</li><li>
Familiarity with Power Apps / Power Automate for end‑to‑end digital workflows.</li></ul>
Preferred<ul><li>
Microsoft certifications: DP‑600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), PL‑300 (Power BI Data Analyst), AZ-900 (Azure AI), PL-400 (Power Platform Developer Associate)</li><li>
AI/ML integration: Python for data prep/modeling; designing data/semantics for NLQ, agentic systems, and platforms such as AWS Bedrock or Fabric ML.</li><li>
Experience partnering with centralized AI and data teams to produce models and agentic solutions.</li><li>
ERP/CRM data integration (e.g., Oracle EBS, Salesforce) and familiarity with enterprise data governance.</li></ul>
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $138,000.00-$207,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div></div></div></div></div></div><div><div><div><div><div><div><div>
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</div></div></div></div></div></div></div>While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.<div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div>
Application Deadline: March 26, 2026</div>

AI Analytics Engineer, AVS Digital Transformation

CapTech

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client&rsquo;s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
 
 
 
 
 The Value You Deliver (or What You&rsquo;ll Do)
 
 
 
 <ul>
 <li>
 Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
 </li>
 <li>
 Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
 </li>
 <li>
 Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
 </li>
 <li>
 Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
 </li>
 <li>
 Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets
 </li>
 <li>
 5+ years of experience delivering data engineering solutions on cloud platform
 </li>
 <li>
 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP)
 </li>
 <li>
 Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion)
 </li>
 <li>
 Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks
 </li>
 <li>
 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery)
 </li>
 <li>
 Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs)
 </li>
 <li>
 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell)
 </li>
 <li>
 Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira)
 </li>
 <li>
 Fundamental understanding of big data, open source, and data streaming concepts
 </li>
 <li>
 Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs
 </li>
 <li>
 Experience providing technical leadership and mentoring other engineers in data engineering space
 </li>
 <li>
 Cloud certification on any platform a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
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 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
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 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
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 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
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 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
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 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

Senior Data Engineer (AWS, Azure, GCP)

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. 
Join our team as a Sr GenAI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!
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).<h2 class="jobSectionHeader">
Key Responsibilities:</h2>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems. Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as GCP, Vertex AI, S3, AWS Bedrock, Spark streaming, or similar. Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Apply AI solutions to insurance-specific data use cases and challenges. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.
Required Skills &amp; Experience:<ul><li>
8+ years&rsquo; Strong hands-on experience programming skills in Python.</li><li>
7+ years of data engineering Strong hands-on experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark.</li><li>
3+ years of data engineering experience focused on supporting Generative AI technologies.</li><li>
2+ years Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.</li><li>
3+ years&rsquo; experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.</li><li>
3+ years&rsquo; Experience of vector databases and graph databases, including implementation and optimization.</li><li>
3+ years&rsquo; Experience in processing and leveraging unstructured data for GenAI applications.</li><li>
3+ years&rsquo; Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph).</li><li>
3+ years&rsquo; Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.</li></ul> 
Nice to Have:<ul><li>
Experience with prompt engineering techniques for large language models.</li><li>
Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.</li><li>
Experience in multi cloud hybrid AI solutions.</li><li>
AI Certifications Experience in P&amp;C or Employee Benefits industry Knowledge of natural language processing (NLP) and computer vision technologies.</li><li>
Contributions to open-source AI projects or research publications in the field of Generative AI.</li></ul>
Candidate 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>

Lead Gen AI Data Engineer

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