senior data engineer

aws data engineer

data analyst

senior artificial intelligence data engineer Jobs in Irving

senior data & ai/ml engineer Jobs in Irving

senior data & ai/ml engineer

data engineer

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal. 
 
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</li></ul> 
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> 
Desired Qualifications:<ul><li>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</li><li>
3+ years of Teradata and Unix experience</li><li>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</li><li>
2+ years of AI technology implementations</li><li>
2+ years of experience with Agile</li><li>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Advanced SQL experience</li><li>
Advanced Microsoft Excel skills using power query</li><li>
Technical application support experience</li><li>
Ability to research, trend, analyze and model data</li><li>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</li><li>
Ability to act as a liaison between the client area and technical organization</li><li>
Effective organizational, multi-tasking, and prioritizing skills</li><li>
Solid knowledge and understanding processes, procedures, and technologies</li></ul> 
Job Expectations:<ul><li>
Ability to work in a fast-paced environment</li><li>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</li><li>
Works quickly and independently to meet required sprint objectives</li><li>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</li></ul>
Posting End Date:
2 Jul 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Senior Data Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr. Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Multiple positions. Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: Programming in Java, Python, or R; CI/CD, Jenkins, GIT, Java, or Python; JSON, HTML, or CSS; Agile methodologies; REST, SOAP, or Web Service APIs; JIRA or Confluence; Software testing, quality assurance, and troubleshooting; Domain support for healthcare or retail organization; Software development lifecycle; Web and mobile applications development; and Writing application code and deploying to production. Pay Range: $114379.00/year to $185400.00/year.
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
 
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Sr. Data Engineer

ASTRELUX IT INC

Job Description:We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.Responsibilities:<ul><li>AWS Solution Design &amp; Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.</li><li>Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.</li><li>Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.</li><li>Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.</li><li>Cloud Infrastructure &amp; Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.</li><li>Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).</li><li>Performance Tuning &amp; Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.</li><li>Data Governance &amp; Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.</li><li>Monitoring &amp; Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.</li><li>Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.</li><li>Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.</li></ul>Qualifications :<ul><li>AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect &ndash; Associate, AWS Certified Data Analytics &ndash; Specialty, AWS Certified Developer &ndash; Associate).</li><li>AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:</li><li>Storage: S3 (for data lakes), EC2</li><li>Data Processing: EMR, Glue, Athena, Lambda</li><li>Networking: VPC, Subnets, Routing, Security Groups</li><li>Containerization: EKS</li><li>Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.</li><li>Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.</li><li>Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.</li><li>Programming Languages:</li><li>Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).</li><li>Shell Scripting: Proficient in shell scripting for automation and operational tasks.</li><li>Database &amp; SQL: Strong SQL skills for data querying and manipulation.</li><li>Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.</li></ul>Good to Have Skills<ul><li>Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.</li><li>CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.</li><li>Orchestration: Experience with workflow orchestration tools like Apache Airflow.</li><li>Version Control: Proficient in using Git for source code management.</li><li>Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.</li></ul>Certifications<ul><li>AWS Certified Solutions Architect &ndash; Associate/Professional</li><li>AWS Certified Data Analytics &ndash; Specialty</li><li>AWS Certified Developer &ndash; Associate</li></ul>Pay: $130,000.00 - $140,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: On the road

AWS Data Engineer

LTM Limited

<div>Role description 
Job Summary

 Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLScalaPythonJava ecosystem

 Job Description

 Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala Utilize SparkSQL to analyze large datasets and extract meaningful insights supporting datadriven decision making Collaborate with crossfunctional teams to integrate big data solutions into existing systems Optimize Spark jobs for performance and efficiency in distributed computing environments Ensure data quality and consistency across various data sources Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities

Roles and Responsibilities

 Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL Write efficient reusable and maintainable code for Spark applications Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines Collaborate with data engineers data scientists and stakeholders to translate business requirements into technical solutions Conduct code reviews and provide mentorship to junior team members on best practices and coding standards Participate in architectural discussions and contribute to the evolution of big data platforms Monitor and maintain the health availability and reliability of Spark clusters and data servicesKarat Interview mandate 
Skills 
Mandatory Skills : Python, Scala, SparkSQL 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $83,912.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

LTIMindtree

<div>Role description 
Job Title: Big data Developer

Work Location : Irving,Texas

Job Summary

 Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLScalaPythonJava ecosystem

 Job Description
<ul>
<li> Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala Utilize SparkSQL to analyze large datasets and extract meaningful insights supporting datadriven decision making Collaborate with crossfunctional teams to integrate big data solutions into existing systems Optimize Spark jobs for performance and efficiency in distributed computing environments Ensure data quality and consistency across various data sources Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities</li>
</ul>
Roles and Responsibilities
<ul>
<li> Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL Write efficient reusable and maintainable code for Spark applications Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines Collaborate with data engineers data scientists and stakeholders to translate business requirements into technical solutions Conduct code reviews and provide mentorship to junior team members on best practices and coding standards Participate in architectural discussions and contribute to the evolution of big data platforms Monitor and maintain the health availability and reliability of Spark clusters and data servicesKarat Interview mandate</li>
</ul> 
Skills 
Mandatory Skills : Python, Scala, SparkSQL 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $79,851.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Wellfit Technologies

<div><div><div>About Wellfit: 
Wellfit is the dental industry&rsquo;s fintech solution. We help remove financial barriers between patients, providers, employers, and payors by creating technology that improves access to treatment, financial transparency, and operational efficiency. 
 
As a profitable and growing healthcare fintech company, Wellfit is investing heavily in AI, data, and modern technology to better understand our business, support our customers, and create new opportunities for growth. We have a significant amount of data across our platform, products, transactions, practices, patients, providers, and business operations &mdash; and we are looking for someone who can help turn that data into meaningful insight, scalable intelligence, and future product value. 
 
About the Role: 
We are seeking a Senior Data &amp; AI/ML Engineer to help Wellfit unlock the value of its data through applied AI, machine learning, analytics, and production-ready data products. 
 
This is a hands-on, business-facing technical role for someone who can work deep in the data, understand business context, identify patterns and anomalies, and help translate insights into action. The right person will not only know how to build models, train models, use models for inference, and work with modern data platforms &mdash; they will also understand why the data matters and how it can help the business grow. 
 
This role is ideal for someone who has strong data and AI/ML grounding, can operate with high initiative, and wants the opportunity to build something meaningful using modern tools. You will help Wellfit identify opportunities, understand performance variance across practices and product lines, uncover correlations, and develop insights that can support better decision-making, stronger customer outcomes, and future product monetization. 
 
What You&rsquo;ll Do:</div>
<ul><li>Own hands-on AI/ML and data engineering work focused on understanding, mining, and productizing Wellfit&rsquo;s data.</li>
<li>Train, evaluate, and apply models for inference, insight generation, anomaly detection, and business intelligence use cases.</li>
<li>Partner with technology and business leaders to understand what the data is telling us, why it matters, and how it can be used to improve business outcomes.</li>
<li>Identify anomalies, trends, correlations, and variances in performance across practices, products, transactions, demographics, service types, and customer behavior.</li>
<li>Help uncover opportunities related to product performance, plan adoption, transaction volume, collections, fraud, customer growth, and other business-critical areas.</li>
<li>Build data-driven solutions that can support consultative insights for customers, helping practices understand how to grow and keep their business healthy.</li>
<li>Work with modern AI/data platforms, preferably within the Microsoft ecosystem, including Microsoft Fabric, Azure AI Foundry, Azure data services, and related tools.</li>
<li>Translate experience from other modern data/AI ecosystems, such as AWS, Databricks, Bedrock, or similar platforms, into Wellfit&rsquo;s Azure-centric environment.</li>
<li>Develop prototypes, proof-of-concepts, and production-ready solutions that can scale beyond experimentation.</li>
<li>Collaborate with engineering, product, data, operations, and executive stakeholders to turn raw data into usable intelligence.</li>
<li>Communicate insights clearly to both technical and non-technical audiences, including the business problem, the data pattern, the recommendation, and the expected impact.</li>
<li>Ask strong follow-up questions, challenge assumptions, identify gaps, and elevate the conversation rather than simply executing instructions.</li>
<li>Bring high initiative, curiosity, and ownership to a greenfield-style opportunity where there is room to build, influence, and shape the future of AI and data at Wellfit.</li>
</ul><div>What We&rsquo;re Looking For:</div>
<ul><li>5+ years of professional experience in data engineering, analytics engineering, machine learning, AI/ML engineering, applied data science, or a related technical field.</li>
<li>Strong hands-on experience working with business data, identifying patterns, and translating data into insights or solutions.</li>
<li>Experience with AI/ML concepts including model training, inference, evaluation, and applied machine learning use cases.</li>
<li>Strong technical foundation in data pipelines, data modeling, analytics, experimentation, and production-grade data solutions.</li>
<li>Experience with modern cloud-based data and AI platforms.</li>
<li>Preferred experience with Microsoft Fabric, Azure AI Foundry, Azure Machine Learning, Azure data services, or other Microsoft data/AI tools.</li>
<li>Comparable experience with AWS, Databricks, Bedrock, Snowflake, or similar platforms is also valuable, especially if you can translate that knowledge into an Azure-centric environment.</li>
<li>Ability to connect technical work to business value. You should be able to explain not just what you built, but why it mattered, what business problem it solved, and what impact it created.</li>
<li>Strong communication skills with the ability to explain complex data findings clearly and practically.</li>
<li>A builder mindset. This role requires someone who can work in the weeds, pull out the data, make sense of it, and help build something from the ground up.</li>
<li>High initiative, intellectual curiosity, and the ability to operate without heavy hand-holding.</li>
<li>Comfort working in a fast-moving, entrepreneurial environment where the opportunity is not simply to maintain existing reports, but to create new intelligence, products, and business value.</li>
</ul><div>Nice to Have:</div>
<ul><li>Experience turning data or AI/ML capabilities into customer-facing or revenue-generating products.</li>
<li>Experience supporting executive decision-making through data-driven insights.</li>
<li>Experience in fintech, healthcare, payments, lending, insurance, SaaS, marketplace platforms, or other transaction-heavy environments.</li>
<li>Experience with anomaly detection, customer segmentation, predictive analytics, recommendation systems, forecasting, or business performance modeling.</li>
<li>Experience working with demographic, transactional, operational, or customer behavior data.</li>
<li>Python experience for data analysis, ML development, automation, and prototyping.</li>
<li>Experience with SQL, data warehouses/lakehouses, APIs, and production data environments.</li>
<li>Familiarity with .NET or working in a Microsoft-heavy engineering environment.</li>
</ul><div>Who Will Thrive Here: 
You will thrive in this role if you are the kind of person who sees data and immediately starts asking better questions:</div>
<ul><li>Why is this happening?</li>
<li>What is different about this customer, practice, transaction, or product line?</li>
<li>What pattern are we missing?</li>
<li>What business problem does this reveal?</li>
<li>How could this insight become a product, feature, recommendation, or revenue opportunity?</li>
</ul><div>We are not looking for someone who only builds dashboards or only talks about AI at a buzzword level. We are looking for someone who can go deep technically, understand the business context, and turn insight into action. 
 
This is a role for someone hungry, sharp, and ready to build. You will have access to modern tools, flexibility, and the opportunity to help shape how Wellfit uses AI and data across the business. 
 
Why Wellfit 
 
At Wellfit, you will not be buried under layers of bureaucracy or limited to maintaining old technology. You will have the opportunity to work with modern tools, influence strategy, and build practical AI/data solutions that can directly impact the business. We have a large amount of valuable data that is not yet being mined to its full potential. This role exists to change that. 
 
You will help create the intelligence that allows Wellfit to better serve customers, support practices, improve product performance, identify growth opportunities, and build data-driven products that make Wellfit more valuable to the market.</div>
</div><div>Alongside a competitive annual bonus, we offer a 401(k) with up to a 4% match, generous paid time off, and comprehensive healthcare benefits.</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Data & AI/ML Engineer

Accenture

<div>Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands
Job Description
We are seeking a Senior ML Engineer / Data Scientist to join a 14-member Agile POD supporting the Bank of America AI/ML engagement. This role focuses on designing, developing, and deploying Large Language Model (LLM) and Generative AI solutions that drive intelligent automation and data-driven decision-making across banking operations.
**This role requires being onsite 3 days per week in Plano, TX. This role has a 5 days away mandate per quarter by the client.**</div>
 
<div>Basic Qualifications<ul><li>
Minimum 4+ years of hands-on experience in Data Science and Machine Learning Engineering</li><li>
Minimum 2+ years of direct experience working with LLMs, Generative AI, or NLP solutions in a production environment (OpenAI, Anthropic Claude, LLaMA, Mistral or similar)</li><li>
Experience building LLM-powered applications such as chatbots, summarization, classification, and document extraction.</li><li>
Proficiency in prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques</li><li>
Bachelor's Degree</li></ul>
Preferred Qualifications<ul><li>
Experience in BFSI domain.
</li><li>Exposure to LLM-as-a-Judge evaluation frameworks.
</li><li>Knowledge of responsible AI and model explainability (SHAP, LIME).
</li><li>Familiarity with Agile/Scrum delivery. Azure ML Studio, Databricks, or Snowflake experience.</li></ul>
Soft Skills
Strong communication skills with ability to work across onshore/offshore teams and client stakeholders. Self-starter comfortable in fast-paced Agile POD environments<div>
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 6/25/26.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
Accenture Flex Jobs
Role Location Hourly Salary Range</div><div>
California $44.00-$54.00
Cleveland $44.00-$54.00
Colorado $44.00-$54.00
District of Columbia $44.00-$54.00
Illinois $44.00-$54.00
Maine $44.00-$54.00
Maryland $44.00-$54.00
Massachusetts $44.00-$54.00
Minnesota $44.00-$54.00
New York $44.00-$54.00
New Jersey $44.00-$54.00
Virginia $44.00-$54.00
Washington $44.00-$54.00</div>
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women. 
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>

^AI ML Engineer - 6352112

Explore 25+ Data engineer in Irving this July. Find roles across top companies and apply now to boost your career.

25 data engineer jobs In Irving

Senior Data Engineer

Sr. Data Engineer

AWS Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data & AI/ML Engineer

^AI ML Engineer - 6352112