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senior data & ai/ml engineer

sr 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

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

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

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

Caris Life Sciences

<div>At Caris, we understand that cancer is an ugly word&mdash;a word no one wants to hear, but one that connects us all. That&rsquo;s why we&rsquo;re not just transforming cancer care&mdash;we&rsquo;re changing lives. 
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: &ldquo;What would I do if this patient were my mom?&rdquo; That question drives everything we do. 
But our mission doesn&rsquo;t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare&mdash;driven by innovation, compassion, and purpose. 
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Lead and innovate as a Senior Staff Cloud DevOps Engineer specializing in AWS and Kubernetes to architect, implement, and optimize scalable, secure cloud-native infrastructure. Lead strategic initiatives, drive technical transformations, and provide expertise in cloud migrations, security implementations, and DevOps best practices. Develop and execute on long-term technical roadmaps, mentor junior engineers, and collaborate with executive leadership to align technology solutions with business objectives. Champion a culture of continuous improvement, knowledge sharing, and operational excellence across the organization.
Job Responsibilities<ul><li>
Architect and lead the implementation of large-scale, complex Kubernetes environments on AWS EKS, ensuring enterprise-grade availability, scalability, and security. Design and implement advanced features including multi-cluster management, service mesh architectures, and custom controllers.</li><li>
Drive strategic proof-of-concept (PoC) initiatives for emerging technologies, evaluating their potential impact on the organization's technical landscape and business goals.</li><li>
Lead the development of enterprise-wide standards for Kubernetes cluster lifecycle management, including upgrade strategies, security policies, and performance optimization frameworks.</li><li>
Provide expert-level consultation to cross-functional teams on cloud-native application design, microservices architecture, and container orchestration strategies.</li><li>
Architect and implement comprehensive, multi-layered observability solutions integrating metrics, logs, and traces. Develop predictive monitoring capabilities and establish organization-wide observability standards.</li><li>
Lead the adoption of advanced Infrastructure as Code (IaC) practices and oversee the implementation of sophisticated CI/CD and GitOps-based continuous delivery (e.g., ArgoCD) pipelines, including modular design patterns, reusable components, and automated testing frameworks for efficient application deployment and image management across multiple environments.</li><li>
Hands-on experience with GitOps-based continuous delivery using ArgoCD (app-of-apps, sync/health management, Helm/Kustomize deployments to Kubernetes).</li><li>
Develop and execute the organization's cloud security strategy, including the implementation of zero-trust architectures, automated compliance checks, and security-as-code practices. Translate complex regulatory and compliance requirements (e.g., HIPAA, SOC2, SOX) into actionable cloud implementation plans.</li><li>
Spearhead large-scale cloud migration and application modernization initiatives, collaborating with business stakeholders to align technical solutions with organizational objectives.</li><li>
Identify and implement strategic opportunities for process improvements and automation across the DevOps and cloud infrastructure landscape, developing and executing long-term roadmaps to drive continuous enhancement of cloud operations and DevOps practices.</li><li>
Lead critical incident response efforts and participate in on-call rotations to support and improve the reliability of critical cloud infrastructure.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>
9+ years of experience in DevOps or Site Reliability Engineering roles.</li><li>
7+ years of hands-on experience with AWS services and cloud architecture.</li><li>
7+ years of hands-on experience with Kubernetes, including deep expertise in cluster management, troubleshooting, and optimization.</li><li>
Expert-level proficiency in at least one programming language (e.g., Python, Go) with a track record of developing and maintaining production-grade software.</li><li>
Extensive experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, AWS CDK) and ability to design scalable, modular IaC frameworks.</li><li>
Deep understanding of containerization technologies and orchestration platforms, including security best practices and performance optimization techniques.</li><li>
Proven experience in designing and implementing enterprise-grade CI/CD pipelines and DevOps workflows, preferred with GitLab CI, with hands-on GitLab CI/CD expertise (pipelines, runners, modular templates).</li><li>
Expert-level networking in complex AWS environments; hybrid/multi-cloud experience a plus.</li><li>
Strong analytical and problem-solving skills, with the ability to troubleshoot complex distributed systems and provide innovative solutions.</li><li>
Proven ability to lead PoC initiatives and evaluate new technologies.</li><li>
Demonstrated experience in creating and maintaining technical documentation and knowledge bases.</li><li>
Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders, including executive leadership.</li><li>
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.</li><li>
Hands-on experience leveraging AI-assisted development tools (e.g., Claude, Cursor) to accelerate engineering work, including building automations, agents, and reusable skills/workflows that improve team productivity and reduce operational toil.</li><li>
Hands-on experience with GitOps-based continuous delivery using ArgoCD (app-of-apps, sync/health management, Helm/Kustomize deployments to Kubernetes).</li></ul>
Preferred Qualifications<ul><li>
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional).</li><li>
Kubernetes certifications (e.g., CKA, CKAD, CKS).</li><li>
Experience with multiple cloud platforms (e.g., AWS, GCP) for multi-cloud architectures.</li><li>
Deep expertise in database technologies including design and optimization of distributed database systems including MySQL, PostgreSQL, and Serverless platforms.</li><li>
Proficiency with specific monitoring and observability tools such as DataDog and AWS CloudWatch.</li><li>
Hands-on experience with configuration management tools (e.g., Ansible, Chef, Puppet).</li><li>
Experience in implementing knowledge management systems or tools in a DevOps environment.</li><li>
Contributions to open-source projects or personal projects demonstrating cloud expertise.</li></ul>
Physical Demands<ul><li>
Ability to sit for extended periods while working on a computer.</li></ul>
Training<ul><li>
All job specific safety and compliance training are assigned based on the job functions associated with this employee.</li></ul>
Other<ul><li>
Job may require after-hours response to emergency issues and on-call availability as required</li></ul>
Annual Hiring Range
$170,000 - $220,000
Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. 
Description of Benefits<ul><li>
Highly competitive and inclusive medical, dental and vision coverage options</li><li>
Health Savings Account for medical expenses and dependent care expenses</li><li>
Flexible Spending Account to pay for certain out-of-pocket expenses</li><li>
Paid time off, including: vacation, sick time and holidays</li><li>
401k match and Financial Planning tools</li><li>
LTD and STD insurance coverages, as well as voluntary benefit options</li><li>
Employee Assistance Program</li><li>
Pet Insurance</li><li>
Legal Assistance</li><li>
Tuition Assistance</li></ul>
Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management&rsquo;s assignment of essential functions. Nothing in this job description restricts management&rsquo;s right to assign or reassign duties and responsibilities to this job at any time. 
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.</div>

Senior Staff DevOps Engineer

TEEMA

<div>Job Summary
Business Intelligence Analyst Senior
TeemaGroup
Full-time, Contract
In-Office | Irving, TX, United States 
Senior Business Intelligence Analyst
Onsite | Irving, TX
Why This Role Matters
As a Senior Business Intelligence Analyst, you will play a critical role in shaping how leaders understand and act on data across the organization.
This is a hands-on, senior-level position for someone who enjoys building clean, scalable data models, translating complexity into clarity, and partnering closely with both technical teams and business stakeholders.<h3 class="jobSectionHeader">
What You Will Do</h3>
Design &amp; Build Trusted Data Models<ul><li>
Design and implement high-performance data models using star and snowflake schemas</li><li>
Create well-structured relationships, hierarchies, and calculated measures</li><li>
Ensure models are scalable, maintainable, and aligned with enterprise standards</li></ul>
Develop Impactful Power BI Solutions<ul><li>
Build intuitive, interactive dashboards and reports that answer real business questions</li><li>
Use DAX and Power Query (M) for advanced calculations and transformations</li><li>
Implement row-level security (RLS) and support workspace governance</li></ul>
Own the Power BI Architecture<ul><li>
Work across Power BI service layers, gateways, and premium capacities</li><li>
Integrate Power BI with Azure Data Factory, SQL Server, and enterprise data sources</li><li>
Ensure compliance with data governance, security, and privacy standards</li></ul>
Optimize Performance at Scale<ul><li>
Monitor and improve report performance and dataset refresh strategies</li><li>
Apply best practices for incremental refresh, query folding, and large datasets</li></ul>
Collaborate and Lead<ul><li>
Partner closely with data engineers, analysts, and business leaders</li><li>
Provide guidance on Power BI adoption, workspace design, and governance frameworks</li><li>
Serve as a trusted advisor for BI best practices and standards</li></ul><h3 class="jobSectionHeader">
What We Are Looking For</h3>
Education<ul><li>
Bachelor&rsquo;s degree strongly preferred</li><li>
Candidates without a Bachelor&rsquo;s degree must have 4+ years of relevant clinical or technical application experience in lieu of a degree</li></ul>
Technical Expertise<ul><li>
Advanced experience with Power BI Desktop and Power BI Service</li><li>
Strong command of DAX, Power Query, and data modeling principles</li><li>
Experience with Power BI architecture, including gateways, deployment pipelines, and capacity planning</li></ul>
Data &amp; Analytics Background<ul><li>
Experience with ETL processes, SQL, and data warehousing concepts</li><li>
Solid understanding of data governance, security, and best practices</li></ul>
#Workwolf</div>

Business Intelligence Analyst Senior

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