data engineer iii

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data & financial analytics lead

data engineer iii - data & ai enablement Jobs in Irving

data engineer iii - data & ai enablement

data engineer iii data ai enablement

GM Financial

<div>Why GMF Technology?
Innovation isn&rsquo;t just a talking point at GM Financial, it&rsquo;s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We&rsquo;re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
About this role: 
 
The Data Engineer III designs, constructs, tests, and maintains highly scalable data management systems. Data Engineer III is responsible for developing complex data pipelines and ensuring data quality, which involves transforming raw data into a form that can be easily analyzed.</div>
 <div>What makes you an ideal candidate:
<ul><li>Design and build scalable data pipelines and workflows on Azure Databricks, leveraging Delta Lake, Unity Catalog, and Medallion (Bronze/Silver/Gold) Lakehouse architecture.
</li><li>Lead end-to-end migration of legacy SAS analytical workloads to Databricks/PySpark, including SAS macro translation, data validation, and output reconciliation.
</li><li>Drive migration of Oracle databases and stored procedures to Azure-native services (Azure SQL, Synapse Analytics, or Delta Lake), ensuring data fidelity and business continuity.
</li><li>Architect and implement ELT/ETL frameworks supporting batch and near-real-time data ingestion from diverse financial source systems.
</li><li>Design dimensional models, data vault patterns, and lakehouse table structures optimized for financial analytical and regulatory reporting workloads.
</li><li>Build and maintain data pipelines that power AI/ML models, including feature engineering, training data preparation, and inference feeds using Databricks MLflow and Feature Store.
</li><li>Implement LLM and RAG (Retrieval-Augmented Generation) pipeline patterns for internal analytics and tooling where applicable.
</li><li>Design and consume REST APIs for data ingestion, orchestration, and data product exposure; build integrations with third-party financial data providers.
</li><li>Implement event-driven and streaming data patterns using Azure Event Hubs, Service Bus, and Kafka.
</li><li>Enforce data governance policies in Unity Catalog: column-level security, row-level filtering, PII masking, and audit logging.
</li><li>Implement data quality frameworks with automated alerting and lineage tracking.
</li><li>Ensure all data solutions comply with applicable financial regulations: SOX, BCBS 239, GDPR/CCPA, CCAR, DFAST, Basel III/IV.
</li><li>Apply data security controls including encryption, Azure Key Vault management, Private Endpoints, VNet integration, and Managed Identity.
</li><li>Define engineering standards and best practices; lead code reviews and technical design sessions.
</li><li>Mentor junior and mid-level engineers through pairing, reviews, and knowledge sharing.
</li><li>Produce technical documentation including design docs, runbooks, and Architecture Decision Records (ADRs).</li></ul></div>
 <div>Experience
<ul><li>Bachelor's degree required in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field or equivalent experience required.
</li><li>Master's degree strongly preferred in Computer Science, Data Engineering, Data Science, Applied Mathematics, or a related discipline.
</li><li>4-6 years of experience in data engineering or a related field required
</li><li>Experience with Big Data technologies required
</li><li>4-6 years of professional experience in data engineering, data platform development, or a closely related data role.
</li><li>3+ years of hands-on experience with Azure Databricks (PySpark, Delta Lake, Workflows, Unity Catalog).
</li><li>3+ years of cloud data engineering experience on Microsoft Azure (ADF, ADLS Gen2, Synapse, Azure SQL, Event Hubs, Key Vault).
</li><li>2+ years of proven experience in SAS-to-cloud migration &mdash; translating SAS PROC SQL, macros, and data steps to PySpark or SQL equivalents.
</li><li>2+ years of experience leading Oracle database migration to Azure cloud targets.
</li><li>2+ years of experience working in a regulated financial services environment (banking, capital markets, insurance, asset management, or fintech).
</li><li>Demonstrated experience designing and consuming REST APIs and building event-driven integration patterns.
</li><li>Hands-on experience with AI/ML data pipeline development, including feature stores, training data pipelines, and MLflow-based workflows.
</li><li>Proven track record delivering production-grade data systems in complex enterprise environments. 
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. 
Our Culture: Our team members define and shape our culture &mdash; an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work &mdash; we thrive. 
Compensation: Competitive pay and bonus eligibility 
Work Life Balance: Flexible hybrid work environment, minimum of 2-days a week in our Irving, TX office.
</li></ul>#LI-Hybrid
#LI-MH1
#GMFJobs</div>

Data Engineer III - Data & AI Enablement

SiriusXM

Responsibilities: 
Data Engineer III - (employer: Sirius XM Radio LLC; job location: Irving, TX) - Architect, build, automate, and launch scalable data pipelines that support marketing growth efforts. Build integrations and ETL processes with 3rd party data to automatically pull data from external sources into operational and analytical data pipelines. Use SQL and Python to write production-quality code to meet data transformation needs of analysts, data scientists and other business partners. Streamline and automate tasks, and innovate by building reusable components that can be used across multiple use cases and by the marketing analytics team in Google Cloud Platform. Visualize, communicate and present statistical model outputs and analysis to various technical and non-technical stakeholders. Develop automated and ad hoc reports, dashboards and models to guide business decisions. Requirements: Bachelor’s degree in Computer Science, Computer Engineering, or Big Data Analytics and Information Technology, plus 2 years of experience in the position offered or another data engineer position. All of the required experience must have included developing scalable ETL processes using SQL and Python coding, data warehouse architecture and data modeling; creating and maintaining production dashboards in Tableau or Zeppelin; applying statistical modeling concepts and techniques including statistical regression and A/B testing; performing marketing analytics; and using or working with the following tools/technologies: Airflow, Linux, R, Apache Spark, and cloud-based platforms (such as GCP or AWS). #LI-DNI. This role entails hybrid work, with time split between working in our Irving, TX office and flexibility to telecommute from another U.S. location. Apply online at www.siriusxm.com/careers. P-2026-576.

Data Engineer III

adswizz

<ul><li>Irving, Texas</li><li>
Regular Employee Full-Time</li><li>
P-2026-576</li></ul>
 <div><div>Data Engineer III - (employer: Sirius XM Radio LLC; job location: Irving, TX) - Architect, build, automate, and launch scalable data pipelines that support marketing growth efforts. Build integrations and ETL processes with 3rd party data to automatically pull data from external sources into operational and analytical data pipelines. Use SQL and Python to write production-quality code to meet data transformation needs of analysts, data scientists and other business partners. Streamline and automate tasks, and innovate by building reusable components that can be used across multiple use cases and by the marketing analytics team in Google Cloud Platform. Visualize, communicate and present statistical model outputs and analysis to various technical and non-technical stakeholders. Develop automated and ad hoc reports, dashboards and models to guide business decisions. Requirements: Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or Big Data Analytics and Information Technology, plus 2 years of experience in the position offered or another data engineer position. All of the required experience must have included developing scalable ETL processes using SQL and Python coding, data warehouse architecture and data modeling; creating and maintaining production dashboards in Tableau or Zeppelin; applying statistical modeling concepts and techniques including statistical regression and A/B testing; performing marketing analytics; and using or working with the following tools/technologies: Airflow, Linux, R, Apache Spark, and cloud-based platforms (such as GCP or AWS). #LI-DNI. This role entails hybrid work, with time split between working in our Irving, TX office and flexibility to telecommute from another U.S. location. Apply online at www.siriusxm.com/careers. P-2026-576.</div>
P-2026-576</div>

it's what's inside that counts _______________ There&rsquo;s more to CMC than our products and the buildings, structures, and roads they go into. At CMC, it&rsquo;s the people inside our recycling centers, fabrication plants, manufacturing facilities, steel mills and offices that make us who we are as a company. Our success comes from finding, retaining, and supporting the highest quality talent by offering: Day 1 Benefits Coverage with low cost Medical, Vision and Dental Day 1 Paid-time Off and Vacation 4.5% Company Match 401(k) Plan $500 Annual Company-paid Lifestyle Benefit Competitive Compensation and Bonuses Company-paid Life and Disability Insurance Employee Stock Purchase Plan Training and Advancement Opportunities Why This Job The Product Manager &ndash; Salesforce is a strategic, hands-on product leader responsible for shaping the vision, roadmap, and value delivery of Salesforce capabilities across one or more Lines of Business (LOBs) and/or enterprise-wide initiatives. This role blends strategic product management with deep Salesforce platform fluency and strong delivery leadership&mdash;driving outcomes through discovery, prioritization, release governance, and measurable adoption. This role is ideal for a product leader who can operate at both executive and delivery levels&mdash;translating business strategy into product direction, aligning stakeholders, and partnering with IT, business teams and third parties to deliver high-impact CRM capabilities. CMC provides an excellent opportunity to learn the steel, construction reinforcement and ground stabilization industries and to grow in your career. Whether you will spend your day brainstorming in an office cubicle, operating a crane, running manufacturing equipment or troubleshooting technical obstacles, at CMC, you&rsquo;ll get the training and support from your team that you need to excel in your role and reach your full potential. What You'll Do Evolve the Salesforce platform product vision and strategy based on business objectives, user feedback, and market context Own and maintain a multi-release roadmap of features, functions, and enablement plans; drive consensus across stakeholders to prioritize high-value work Establish and track product success metrics (adoption, cycle time, user experience, efficiency, quality) and use insights to refine roadmap decisions Lead discovery with business leaders, end users, IT, and partners to define problems, outcomes, and MVP scope; translate into epics, user stories, acceptance criteria, and measurable goals Facilitate cross-functional workshops to align business process, data requirements, security model, and user experience needs&mdash;especially in complex operating environments Build business cases for major initiatives, including scope tradeoffs, risk, dependencies, and sequencing across teams and systems Serve as the primary product counterpart to delivery teams&mdash;driving backlog health, prioritization, sprint planning, demos, and release readiness Maintain a detailed product view (epics, stories, dependencies) and balance competing priorities while ensuring value is optimized across sprints and releases Bring strong execution discipline to planning, testing, change management, and post-release stabilization Communicate product updates, milestones, and roadmap progress across multiple channels; ensure stakeholders understand what is being released and why Partner with enablement team to create training and rollout materials that drive sustained adoption and measurable outcomes Build trusted relationships with stakeholders at all levels; drive decisions and alignment across business and technical teams Identify opportunities for innovation and translate them into use cases and roadmap investments Drive continuous improvement. Monitor platform trends, evaluate new Salesforce capabilities/tools, and propose enhancements What You'll Need Excellent analytical and problem-solving skills Outcome-oriented prioritization Executive stakeholder management Release governance skills QA/UAT leadership Strong learning aptitude and agility. Strong leadership and communication skills Continuous improvement mindset 5+ years experience in product management, product ownership, business systems analysis, or Salesforce platform leadership with cross-functional delivery ownership Demonstrated success owning product roadmaps and leading delivery from discovery through launch, including testing and release activities Strong Salesforce platform knowledge across configuration, data, security, reporting, and automation; comfort partnering with technical teams on solution design Proven ability to manage ambiguity, prioritize competing needs, and drive consensus with stakeholders Salesforce certifications aligned to admin/business analysis (e.g., Admin, Advanced Admin, Business Analyst, Platform Builder) Familiarity with Agile tooling (e.g., Jira/TFS/Agile Accelerator) and operating within Agile delivery cadences Agile Certification (e.g. PMI Agile Certified Practitioner, Certified Scrum Master, ICAgile Certified Expert, AgilePM Foundation/Practitioner, etc.) Experience with enterprise-scale environments (high user counts, complex security models, large data sets, multi-org/multi-environment operations) Experience with other CRM and lead generation tools such as Dynamics, HubSpot Experience with Salesforce Manufacturing Cloud; integration exposure including MuleSoft Release management experience with tools/processes such as Copado and formal regression strategy Your Education Bachelors Degree required We are CMC, a Fortune 500&reg; company at the leading edge of our industry. Our construction reinforcement and steel products have supported construction projects and structures around the world. The secret to our success? We&rsquo;ve built our legacy by assembling a team of innovators and doers to tackle some of the most challenging construction reinforcement problems facing our world for more than 100 years &mdash; and we&rsquo;re just getting started. If you&rsquo;re ready to join a team working to make our industry more sustainable, support the bridges, roadways, buildings and infrastructure that connects our communities, and do meaningful work, you&rsquo;re ready to join CMC. Apply today and start moving your career &mdash; and our world &mdash; forward. Let's build a better world! CMC is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, age, physical or mental disability, national origin, citizenship, military or veteran status, sexual orientation, gender identity and/or expression, genetic information, or other status protected by federal, state or local law. From Fortune Magazine. &copy; 2025 Fortune Media IP Limited. All rights reserved. Used under license.

Product Manager (Salesforce)

Vizient, Inc.

<div><div><div><div><div>When you&rsquo;re the best, we&rsquo;re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Architect and lead the design of scalable microservices, event-driven architectures, and cloud-native solutions on Microsoft Azure. Own and enforce engineering best practices, including CI/CD pipelines (Azure DevOps, Octopus Deploy, GitHub Actions), automated testing (TDD, BDD), and infrastructure automation (Terraform, Pulumi, Kubernetes). Mentor and guide the development team, conducting technical reviews, architectural discussions, and knowledge-sharing sessions. Define API security standards (OAuth, OpenID Connect, JWT) and enforce robust authentication, authorization, and compliance measures. Collaborate with cross-functional teams&mdash;architects, product managers, and stakeholders&mdash;to align engineering decisions with business strategy. Develop and contribute to the codebase, implementing scalable microservices in C#, Python, and Java and high-performance frontends in React and Angular. Optimize application performance and security, leveraging caching (Redis, CDN), query tuning, database indexing, sharding, and security hardening (OWASP). Lead Kubernetes-based deployments, enabling container orchestration, horizontal scaling, and load balancing for high availability and fault tolerance. Leverage BI tools (Power BI, Tableau, MicroStrategy) for engineering analytics, operational intelligence, and business insights. Drive data-driven engineering strategies, integrating real-time analytics, data lakes, and ETL pipelines where applicable. Support team well-being and morale by ensuring balanced workloads, recognizing achievements, and fostering a healthy, productive work environment. Cultivate psychological safety, where team members feel comfortable sharing ideas, asking questions, and learning from mistakes without fear of blame. Provide consistent feedback through regular 1:1s and team discussions, promoting an open feedback culture that encourages growth and learning. Resolve interpersonal challenges proactively, using empathy and mediation skills to maintain team cohesion and alignment with shared goals. Instill accountability by ensuring team members take ownership of deliverables, meet expectations, and remain committed to project success. Facilitate regular retrospectives, continuously refining workflows, improving efficiency, and implementing actionable process enhancements. Partner with the Engineering Manager to support career development, offering guidance on technical skills, leadership growth, and long-term career planning. Drive continuous improvement by encouraging the team to challenge existing workflows, adopt better methodologies, and innovate within projects. Foster a culture of experimentation, empowering the team to explore new ideas, iterate quickly, and embrace a fail-fast, learn-fast approach. Advocate for engineering excellence, recommending initiatives that enhance both product delivery and the overall effectiveness of engineering teams. Mentor and guide engineers in core technical areas, including technical decision-making, code quality, debugging, architecture design, scalability, and emerging technologies. Provide hands-on problem-solving and learning opportunities to drive continuous technical excellence. Identify skill gaps and growth opportunities, collaborating with engineers to create targeted learning plans that enhance debugging skills, technical adaptability, and a balanced development of both technical and soft skills. Recognize and nurture individual strengths, aligning responsibilities with career aspirations, leadership potential, and technical interests. Provide coaching and leadership development to cultivate future engineering leaders. Foster a culture of innovation and continuous improvement, encouraging team members to experiment with new ideas, adopt emerging technologies, and proactively address technical debt, scalability, and maintainability challenges. Champion AI-driven tools and techniques to enhance productivity, streamline workflows, and foster data-driven decision-making within the engineering team. Identify and implement AI-powered automation opportunities, reducing manual effort, improving efficiency, and accelerating software development cycles. Lead AI integration into the development lifecycle, incorporating automation for test case generation, performance monitoring, anomaly detection, and predictive analytics in cloud environments. Leverage Azure Databricks for AI/ML, enabling scalable data processing, machine learning model training, and real-time analytics to drive intelligent automation and insights. Foster a culture of AI-driven innovation, encouraging team members to experiment with AI-based solutions and adopt emerging technologies to solve complex engineering challenges. Equip engineers with best practices for AI adoption, ensuring responsible and effective use of AI tools while maximizing their impact on software development. Collaborate with product owners to gather and refine requirements, ensuring alignment with business objectives and successful project delivery. Decompose complex features into manageable tasks, prioritizing efforts for timely completion, smooth execution, and effective resource allocation. Facilitate seamless collaboration between engineering and product teams, ensuring alignment on feature development, timelines, and deliverables. Proactively identify and assess risks related to technical decisions, projects, and dependencies, providing clear mitigation strategies and communicating them effectively. Partners with product owners and delivery leads to drive high-quality execution, ensuring projects are delivered on time without compromising quality. Lead post-mortems for major incidents and projects, capturing key lessons learned, fostering accountability, and implementing continuous improvements. Maintain transparency and alignment by effectively communicating project status, progress, and potential risks to Product Owners and Delivery Leads. Foster strong cross-functional relationships through regular touchpoints with Product Management, Architecture, and Delivery teams, ensuring cohesive project execution, shared goal alignment, and proactive resolution of technical challenges.
MINIMUM REQUIREMENTS:
This position requires a Bachelor&rsquo;s degree in Computer Science, Electronic Engineering, or a directly related field of study and 8 years of progressive, post-baccalaureate experience. Requires Microsoft Certified: Azure Solutions Architect Expert Certification. Requires: 1) 8 years of progressively related experience in software development with Object-Oriented Programming (OOP), Test-Driven Development (TDD), and the Software Development Life Cycle (SDLC), including the design and implementation of scalable and maintainable solutions using languages such as C#, VB.Net, and Python, with demonstrated application of SOLID principles, design patterns, and best practices to deliver high-quality, reusable code. 2) 8 years of experience in modernizing legacy systems, including migrating applications from ASP.NET MVC to ASP.NET Core and applying architectural patterns, including microservices, event-driven architectures, layered architectures, to design and develop scalable, robust, and maintainable systems, with demonstrated expertise in decomposing monolithic applications into microservices and implementing inter-service communication using REST APIs, gRPC, and message brokers such as Apache Kafka or Azure Service Bus; 3) 8 years of experience with ASP.NET Web Forms, MVC, WCF, SignalR, and REST Web APIs, including expertise in implementing authentication and authorization mechanisms such as OAuth, OpenID Connect, and JWT to secure APIs and applications, with demonstrated proficiency in designing and documenting APIs using Swagger to ensure clear and consistent communication of functionality and endpoints; 4) 8 years of experience in front-end development using HTML5, CSS3, JavaScript, and modern frameworks including Angular or React, with a strong focus on building dynamic, responsive, and user-friendly web applications, including expertise in creating reusable UI components, adhering to modular design principles, and optimizing front-end performance through techniques such as lazy loading, code splitting, and responsive design; 5) 7 years of experience in database design, modeling, and management, with demonstrated expertise in designing normalized and denormalized schemas for transactional and analytical systems, optimizing query execution times in both relational and NoSQL databases, creating and optimizing complex queries, stored procedures, and indexes for high-volume transactional databases, and implementing partitioning strategies and sharding techniques to ensure scalability and data integrity in distributed systems; 6) 7 years of experience using unit testing frameworks such as xUnit or NUnit to develop unit tests and mocking frameworks like NSubstitute or Moq to simulate dependencies for accurate testing, with demonstrated implementation of Test-Driven Development (TDD) practices to improve code maintainability and reduce defects by integrating SonarQube for continuous code quality analysis, addressing identified code smells, vulnerabilities, and technical debt across multiple codebases to ensure clean and efficient software delivery; 7) 7 years of experience in setting up and managing CI/CD pipelines using tools such as Octopus Deploy, SVN, TFS, and Azure DevOps, including the successful automation of build, test, and deployment processes to reduce deployment time, with demonstrated expertise in configuring pipelines for both monolithic and microservices-based architectures across development, staging, and production environments; 8) 6 years of experience designing, deploying, and managing cloud-native solutions using Azure services such as App Services, Azure Functions, Service Bus, EventHubs, SQL Managed Instance, Cosmos DB, Container Apps, SQL Managed Instances and Azure Container Registry, with demonstrated success in building applications that scale to handle at least large transactions, maintain 99.9% availability, and implement security best practices; 9) 5 years of experience securing applications by implementing Microsoft Entra for identity management in enterprise environments, managing secrets and certificates using Azure Key Vault, and configuring Azure Storage Accounts to securely handle large data, with proficiency in using Azure Monitor and Log Analytics to optimize performance and ensure compliance with industry standards, including resolving identified issues within SLA timelines; 10) 5 years of experience collaborating with product owners, stakeholders, and DevOps team to refine technical requirements, resolve complex issues within defined SLAs, and deliver high-quality software solutions, with demonstrated ability to align technical implementations with business goals resulting in delivery timelines and ensuring seamless integration across development, deployment, and operational workflows in meeting project objectives; 11) 4 years of experience with Apache Kafka, including setting up and managing Kafka clusters to process real-time data streams with high throughput, configuring topics with appropriate partitions for scalability, and optimizing replication and retention strategies to achieve system uptime of 99.9% or higher in event-driven architectures, while ensuring low-latency pipelines with end-to-end processing times; 12) 4 years of experience in mentoring and coaching engineers, focusing on both technical and professional development; 13) 3 years of experience designing, deploying, and managing secure and scalable Azure networking solutions, including Virtual Networks (VNet), Application Gateway, Load Balancers, and Network Security Groups (NSG), with demonstrated expertise in implementing fault-tolerant connectivity and hybrid network architectures using VPN Gateway and ExpressRoute to integrate and support enterprise-grade workloads handling traffic while maintaining performance, reliability, and compliance with security standards; 14) 3 years of experience in containerizing applications using Docker or Kubernetes, including deploying and managing containerized applications in production environments, with demonstrated ability to create and optimize Dockerfiles to build container images and orchestrate multi-container deployments using Docker Compose for production-grade projects; 15) 3 years of experience designing and implementing pipelines using Azure Data Factory, Azure Databricks, and SQL Server Integration Services (SSIS), with demonstrated expertise in transforming, loading, and optimizing data across both cloud and on-premises environments, including the successful extraction of data applying advanced mapping and cleansing techniques, and efficiently loading large datasets into target systems; 16) 3 years of experience using BDD frameworks, including writing clear and concise Gherkin scenarios to define acceptance criteria aligned with business requirements, and developing and maintaining Selenium-based automated test suites covering functional and regression test cases for web applications, ensuring comprehensive test coverage and reducing manual testing effort; 17) 2 years of hands-on experience in graph database modeling and development using Neo4j, with demonstrated expertise in designing and implementing graph schemas optimized for complex relationships and hierarchical data structures, writing and optimizing Cypher queries to maintain query execution times for datasets exceeding million nodes and relationships, and integrating Neo4j using GraphQL APIs to enable efficient querying for modern front-end frameworks; and 18) 1 year of experience working with AI/ML tools and frameworks such as TensorFlow, PyTorch, or Azure Machine Learning for predictive analytics, natural language processing, or automation use cases, with demonstrated ability to integrate AI-powered features into enterprise applications to enhance decision-making, operational efficiency, and end-user experience.
Experience may be gained concurrently. Hybrid position. Must reside within commuting distance from Irving, TX office. Various unanticipated locations throughout the U.S. Salary: $156,998 to $206,000/year. Visa sponsorship not available for this position. Please apply online at https://careers.vizientinc.com/careers.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.</div></div></div></div></div>

Engineering Team Lead

Realign

<div>Irving, Texas 75014 Posted March 19th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: Python Developer 
Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite) 
Fulltime</div> 
Must Have Technical/Functional Skills<ul><li>This is a development position for establishing and implementing new or revised applications and programs in the Technology team.</li><li>As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.</li><li></li><li>Qualifications:</li><li>5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.</li><li>Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.</li><li>Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.</li><li>Proficiency with tools and LLMs.</li><li>Ability to work independently and collaboratively within a team.</li><li></li><li>Preferred Skills:</li><li>Experience in GenAI/LLMs projects.</li><li>Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).</li><li>Background in financial business-like banking, risk management.</li><li></li><li>Education:</li><li>Bachelor&rsquo;s degree/University degree or equivalent experience in STEM</li></ul>
Good to have:<ul><li>Working experience with Gemini LLM</li><li>Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras</li><li>Hands-On knowledge on NLP</li><li>Understanding of model deployment and containerization (Docker).</li><li>Understanding of version control systems (Git).</li><li>Awareness of AI compliance, data privacy, and responsible AI principles</li></ul>
Roles &amp; Responsibilities<ul><li>Architect, Design, and implement robust Python-based solution</li><li>Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards</li><li>Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture bl ueprint</li><li>Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation</li><li>Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals</li><li>Experience in using writing and using shell script and other Linux features</li><li>Implement Unit Testing and TDD to ensure software quality and maintainability</li></ul>
Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Python Developer

<div><div><div><div><div>When you&rsquo;re the best, we&rsquo;re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary: 
In this role, you will lead complex data and financial analytics initiatives that drive strategic decision-making and measurable business outcomes. You will manage high-impact projects, apply advanced modeling techniques to large and diverse datasets, and partner with senior leadership to evaluate and improve business processes. You will deliver customized insights, influence executive decisions, and guide team members in applying best practices to support organizational priorities and client needs.
Responsibilities:<ul><li>
Lead complex data and financial analytics projects with moderate risk and resource requirements.</li><li>
Deliver customized analyses using internal and external structured and unstructured datasets.</li><li>
Apply advanced statistical and financial modeling techniques to large data sets.</li><li>
Identify gaps in reporting and analytical processes and implement improvements.</li><li>
Evaluate business processes and recommend strategic enhancements in partnership with senior leadership.</li><li>
Influence executive decision-making through clear presentation of data-driven insights.</li><li>
Facilitate stakeholder meetings to gather requirements and assess current business processes.</li><li>
Develop professional recommendations and present preferred courses of action to leadership and clients.</li><li>
Guide and mentor team members on analytical methodologies and best practices.</li><li>
Build and maintain strong relationships with internal leaders and clients to align on desired outcomes.</li></ul>
Qualifications:<ul><li>
Relevant degree (e.g., Data Analytics, Finance, Supply Chain, Business, or related discipline) preferred. Advanced degree desired.</li><li>
7 or more years of relevant experience required.</li><li>
Advanced proficiency in data analytics, financial modeling, and statistical analysis techniques required.</li><li>
Experience with healthcare supply chain analytics, including knowledge of key supply chain metrics (e.g., cost savings, utilization, contract compliance, and performance benchmarking), required.</li><li>
Experience leading cross-functional analytics initiatives and working with large, complex datasets from multiple sources required.</li><li>
Strong technical proficiency in analytics, visualization, and AI-enabled tools such as SQL, Python, R, Power BI, Tableau, machine learning frameworks, and generative AI platforms.</li><li>
Demonstrated ability to present complex analytical insights to C-suite and executive leadership and influence strategic decision-making.</li><li>
Excellent written and verbal communication skills.</li><li>
Strong project management and organizational skills.</li><li>
Willingness to travel.
</li></ul>Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.</div></div></div></div></div>

Data & Financial Analytics Lead

Explore 59+ Data engineer iii data ai enablement in Irving this March. Find roles across top companies and apply now to boost your career.

59 data engineer iii data ai enablement jobs In Irving

Data Engineer III - Data & AI Enablement

Data Engineer III

Data Engineer III

Product Manager (Salesforce)

Engineering Team Lead

Python Developer

Data & Financial Analytics Lead