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senior data ops engineer contract

Wells Fargo

<div><h2 class="jobSectionHeader">Description</h2>
Title: Senior Data Ops Engineer
Location: Irving, TX
Alternative Location: Charlotte, NC, Chandler, AZ, Des Moines, IA, Minneapolis, MN
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary: 
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. 
Key Responsibilities:
 Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps 
 Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc. 
 Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority 
Key Requirements:<ul><li>
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li></ul>
Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities 
 data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 
 Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer 
 Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
Desired Qualifications: 
 Proven experience using AI to auto-generate data engineering related code, context engineering and prompt engineering 
 Deep background on cloud-based data lakes and warehouses, and automated data pipelines 
 Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics 
 Web based UI development using React and Node JS is a plus</div>

Senior Data Ops Engineer (contract)

NTT DATA

<div>Company Overview: 
Req ID: 365619 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following:
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul>Key Responsibilities: 
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
 
Basic Qualifications:
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li>
<li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:
<ul><li>Predictive Analytics</li>
<li>Data Design</li>
<li>Statistics</li>
<li>AI/ML</li>
<li>ML Ops</li>
<li>3+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul></li></ul>Preferred Skills:
<ul><li>Master's degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
</ul>#LI-NorthAmerica 
About NTT DATA: 
 
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Data Scientist

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

<div><div>Summary:
The Senior Director of Monitoring Engineering is a strategic technical leadership role responsible for architecting, scaling, and driving the execution of ADT&rsquo;s next-generation, AI-powered &ldquo;Monitoring as a Service&rdquo; platform. This leader oversees Development teams to deliver resilient, cloud-native monitoring services that integrate AI/ML, IoT orchestration, and human-in-the-loop operations. Reporting to the VP of Platform Product and Engineering, this role ensures ADT&rsquo;s monitoring services are proactive, predictive, and prioritize customer safety.
Duties and Responsibilities:
<ul><li>Platform Strategy and Evolution: Architect and lead the transition to a cloud-native, microservices-based platform capable of ingesting billions of daily IoT events across sensors and cameras.</li>
<li>AI and ML Engineering: Partner with Data Science to productionize models for event classification, object detection, and anomaly prediction while building robust AI Ops pipelines.</li>
<li>Human-in-the-Loop Systems: Design AI workflows that balance automation with human empathy, implementing real-time feedback loops and AI-assisted incident management tools.</li>
<li>Technical Leadership: Lead the planning and deployment of cloud-native services, enhancing $CI/CD$ pipelines and automation tools to boost developer agility and code quality.</li>
<li>Operational Excellence: Define platform-wide SLOs/SLIs for latency and uptime, overseeing multi-region, fault-tolerant infrastructure across AWS, GCP, or Azure.</li>
<li>Innovation and Experimentation: Develop digital twin simulations and &ldquo;AI Experience Labs&rdquo; to prototype and test multimodal AI applications in real environments.</li>
<li>Risk Management: Proactively identify and mitigate technical and scheduling risks while establishing operational policies and procedures.</li>
<li>Additional duties as assigned.</li>
</ul>Skills and Competencies:
<ul><li>Technical Expertise: Deep engineering knowledge across cloud-scale architectures, real-time streaming, microservices design, API development, and AI/ML system lifecycles.</li>
<li>Strategic Leadership: Proven ability to manage high-performing, distributed teams and align technical initiatives with financial and business objectives.</li>
<li>AI-Native Thinking: Passion for creating AI systems that augment human intelligence and provide personalized security experiences.</li>
<li>Communication: Effective at influencing and aligning stakeholders at all levels, from IT to business leadership.</li>
<li>Analytical Problem-Solving: A data-driven approach to decision-making, combining creative prototyping with rigorous experimentation.</li>
<li>Supervisory: Oversees a diverse team of platform engineers, ML specialists, and works closely with Enterprise Architecture.
</li></ul>Minimum Qualifications:
<ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business Administration, or a related field.</li>
<li>Professional Experience: 20+ years of professional experience, with at least 10+ years in engineering and a track record of launching B2B or B2C products.</li>
<li>Leadership Experience: 5+ years leading distributed teams and managing technical leaders.</li>
<li>Technical Mastery: Proficiency in container orchestration (Kubernetes, Docker), Infrastructure as Code (Terraform), and modern cloud infrastructure.</li>
</ul>Preferred Qualifications:
<ul><li>Industry Experience: Prior experience in security, smart home, or IoT industries.</li>
<li>Internal Tenure: 10+ years of experience specifically at ADT.</li>
<li>AI Integration: Experience integrating GenAI, LLMs, or multimodal AI into customer-facing products.</li>
</ul><div>Los Angeles Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</div><div>Philadelphia Applicants: Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.
</div></div><div></div><div>ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.</div></div>

Senior Director Monitoring Engineering

LERETA, LLC

<div>The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise data integration, warehousing, reporting, and automation solutions across Azure, Snowflake, Microsoft BI technologies, and the Power Platform.

Key Responsibilities:
<ul>
<li>Defines and implements enterprise data architecture leveraging Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure SQL, Snowflake, Snowflake OpenFlow, SSIS, SSRS, Power BI, Power Automate, and Power Query.</li>
</ul><ul><li>Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks</li>
</ul><ul><li>Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental loading</li>
</ul><ul><li>Optimizes long-running data extractions and improves pipeline performance</li>
</ul><ul><li>Manages and tunes Snowflake warehouses for performance and cost efficiency</li>
</ul><ul><li>Develops and supports Power BI datasets, data models, and enterprise reporting solutions</li>
</ul><ul><li>Supports and modernizes SSRS reporting and downstream Power Platform dependencies</li>
</ul><ul><li>Develops automation workflows using Power Automate to streamline operational processes</li>
</ul><ul><li>Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support</li>
</ul><ul><li>Establishes best practices for data modeling, environment promotion (Dev/QA/Prod), naming conventions, monitoring, and operational support</li>
</ul><ul><li>Provides Tier 2 / Tier 3 production support for data integration and reporting platforms</li>
</ul><ul><li>Participates in Agile/Scrum ceremonies including sprint planning, backlog refinement, and progress reporting.</li>
</ul><ul><li>Identifies obsolete fact tables, unused reports, and redundant processes to streamline the data ecosystem</li>
</ul><ul><li>Partners with leadership to provide visibility into sprint progress, platform health, and modernization initiatives</li>
</ul><ul><li>Leverages Ataccama ONE for governance, data quality monitoring, and metadata management</li>
</ul><ul><li><div><ul><li>Integrates and maintain Ataccama data quality workflows to support enterprise data governance</li>
</ul>
</div></li></ul>This position will perform other duties as assigned based on the needs of the department.

Salary range: $114,280 - $140,000

Core Competencies:
<ul>
<li>Strong communication skills with the ability to translate technical concepts to business stakeholders</li>
</ul><ul><li>Strong analytical and problem-solving abilities</li>
</ul><ul><li>High attention to detail and data accuracy</li>
</ul><ul><li>Strong work ethic with a sense of ownership and accountability</li>
</ul><ul><li>Ability to prioritize effectively in a production support and development environment</li>
</ul><ul><li>Collaborative team player with the ability to work cross-functionally</li>
</ul>
Required Education &amp; Experience:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent field</li>
<li>10+ years of experience in software design and development, with the majority of time focused in a data engineering role</li>
<li>Required Technical Skills:
<ul><li>Azure Data Factory</li>
</ul>
<ul><li>Azure Data Lake Storage (Gen2)</li>
</ul>
<ul><li>Snowflake (data modeling, performance tuning, streams &amp; tasks)</li>
</ul>
<ul><li>Snowflake OpenFlow</li>
</ul>
<ul><li>SQL Server Integration Services (SSIS)</li>
</ul>
<ul><li>SQL Server Reporting Services (SSRS)</li>
</ul>
<ul><li>Power BI (data modeling, DAX, report optimization)</li>
</ul>
<ul><li>Power Automate</li>
</ul>
<ul><li>Power Query</li>
</ul>
<ul><li>Visual Studio</li>
</ul>
<ul><li>Azure DevOps</li>
</ul>
<ul><li>Advanced SQL development and tuning</li>
</ul>
<ul><li>Microsoft Excel (advanced formulas, pivot tables, data validation)</li>
</ul>
<ul><li>Git-based version control and CI/CD practices</li>
</ul>
<ul><li>Agile / Scrum methodology</li>
</ul>
<ul><li>Enterprise production support experience</li></ul></li></ul></div>

Senior Data Engineer

Citi

<div><div><div>Job Req Id:</div>
<div>26956487</div>
</div><div><div>Location(s):</div>
<div>Irving, Texas, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 28, 2026</div></div></div>
 <div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Citibank, N.A. seeks a Data Analytics Lead Analyst for its Irving, Texas location.
Duties: Perform data modeling, integrating data from diverse sources while upholding data governance principles. Contribute significantly to the design, development, and maintenance of data warehouses, complex ETL processes, and robust schema designs, working collaboratively with data governance teams on standards and policies. Actively define Critical Data Elements (CDEs) and Data Quality Processes (DQP) for multiple data sources during ingestion. Maintain strict data model versioning and metadata management in repositories including Git and Collibra. Ensure all designs aligned with business requirements and data governance policies through close collaboration with senior architects and project managers, confirming adherence to established data modeling best practices. Develop and maintain complex PL/SQL applications for critical banking systems, encapsulating intricate transactions and ensuring data consistency, while also optimizing database performance through indexing, partitioning, and diligent query tuning. Work on Tableau reporting to prepare data sets for visualization. Assist with building a centralized robust and scalable software system in support of the development of ICRM Applications. Prepare design documents, design patterns, component design specifications, and technical specifications to define the software system architecture, application programs, modules, interfaces, and data flows for ICRM and other ICRM related initiatives. Apply best practices to ensure high data quality and reduced redundancies. Software development methodologies (waterfall, agile, scrum) to develop strategic software systems and application programs using Oracle SQL &amp; PL/SQL, Ab Initio, EME, and Autosys which are deployed on Linux and Unix Operating systems. Perform end-to-end application performance analysis. Perform functional and unit testing of the application and software systems to uncover any potential bugs, and support system integration and User Acceptance Testing (UAT). A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master&rsquo;s degree, or foreign equivalent, in Applied Computer Science, Computer Applications or related field and 4 years of experience as a Senior Data Analyst, Associate Consultant, Consultant, Software Engineer or related position performing data modelling, data governance, and maintaining data quality within the financial services domain. Alternatively, employer will accept a Bachelor&rsquo;s degree in the listed fields and 6 years of progressively responsible, post-baccalaureate experience in the listed positions. Full span of experience must include: Maintaining data warehouses, ETL processes, and schema designs; SQL, PL/SQL Development; Database Performance Optimization; Ab Initio, EME, and Autosys; Software development methodologies (waterfall, agile, scrum); Git, Collibra, Data Catalog; System integration and UAT; AWS S3 stage and snowpipe; Shell Scripting development. Additionally, 2 years of experience must include: SAP BO (BI) report Development. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26956487. EO Employer.
Wage Range: $166,000 to $173,000
Job Family Group: Technology
Job Family: Data Analytics
-<h2 class="jobSectionHeader">
Job Family Group:
</h2>-<h2 class="jobSectionHeader">
Job Family:</h2>
-<h2 class="jobSectionHeader">
Time Type:</h2>
Full time
-<h2 class="jobSectionHeader">
Primary Location:</h2>
Irving Texas United States
-<h2 class="jobSectionHeader">
Primary Location Full Time Salary Range:</h2> 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-<h2 class="jobSectionHeader">
Most Relevant Skills
</h2>Please see the requirements listed above.
-<h2 class="jobSectionHeader">
Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-<h2 class="jobSectionHeader">
Anticipated Posting Close Date:</h2>
Jun 16, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Data Analytics Lead Analyst

Ethos Risk Services

<div>ABOUT US:
Ethos Risk Services is a leading insurance claims investigation and medical management company committed to providing better data that translates into better decision-making for our clients. We are at the forefront of innovation in our space, and our success is driven by a dynamic team passionate about delivering exceptional services to our customers. 
JOB SUMMARY:
Our synergetic Ethos IT Team is growing and seeking a full-time Senior Agentic AI Software Developer (REMOTE) to architect and guide software solutions in an AI-first, spec-driven environment. This role translates business requirements into structured specifications, oversees AI-assisted development workflows, and ensures the quality, security, and performance of AI-generated code.
Our ideal candidate is a senior engineer with hands-on spec-driven development experience who has worked with agentic AI tools and AI-integrated systems. They have strong SQL experience, preferably PostgreSQL, and experience on development teams leveraging AI-assisted workflows, including reviewing and validating AI-generated code. 
KEY RESPONSIBILITIES:<ul><li>
Spec-Driven Development&ndash; Translate business requirements into clear, testable specifications for AI-assisted development.</li><li>
AI Workflow Orchestration &ndash; Oversee software generation using agentic AI tools, ensuring alignment with architecture.</li><li>
Code Review &amp; Quality &ndash; Rigorously review AI-generated code for accuracy, security, and maintainability.</li><li>
Testing &amp; Validation &ndash; Ensure outputs meet specifications through strong testing practices.</li><li>
Prompt Engineering &ndash; Develop and refine prompts, constraints, and AI workflows for better outcomes.
</li><li>Architecture &amp; Modernization &ndash; Support scalable system design and migration from legacy environments.
</li><li>Risk &amp; Security &ndash; Identify and mitigate risks in AI-generated code and ensure secure development practices.</li><li>
CI/CD &amp; Automation &ndash; Contribute to pipelines with validation and quality gates for generated code.</li><li>
Mentorship &amp; Support &ndash; Guide team members and provide production support for AI-assisted systems.</li><li>
Documentation &ndash; Maintain clear specifications, workflows, and technical documentation.</li><li>
Collaboration &ndash; Partner with stakeholders to refine requirements and solution design.</li></ul> 
QUALIFICATIONS:
Education: Master's degree in Computer Science, Data Science or a related field (preferred). Relevant experience may be a substitute for formal education.
Experience:
<ul><li>Minimum of 7 to 10 years of software development experience, primarily with C# and .NET technologies (required).
</li><li>Minimum of 5 years working with MS SQL Server and PostgreSQL (required).</li><li>
Minimum of 3 to 5 years of experience with cloud platforms, preferably in AWS (required).
</li><li>Minimum of 1 to 2 years of hands-on experience with AI-assisted or spec-driven development tools (e.g., Kiro or similar) (required).
</li><li>Proven experience reviewing and validating AI-generated code (required).
</li><li>Experience with modern front-end frameworks, preferably in React.
</li><li>Strong background in CI/CD pipelines, automation, and quality assurance.
</li><li>Demonstrated ability to lead architecture and mentor engineering teams.
</li></ul>Certifications:<ul><li>
AI-assisted development or prompt engineering certifications (preferred).
</li><li>Microsoft, AWS, or security certifications (preferred).</li><li>
Required completion of secure software development training annually, including AI-specific secure coding practices and validation techniques.</li></ul>
Skills:<ul><li>
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch (preferred).
</li><li>Experience with MLOps, CI/CD pipelines, and infrastructure-as-code (Terraform or CloudFormation) (required).</li><li>
Strong understanding of data pipelines, model deployment, and performance monitoring (preferred).
</li><li>Ability to translate business requirements into scalable AI system designs (preferred).
</li><li>Excellent communication, stakeholder management, and problem-solving skills (required).</li></ul> 
WORKING CONDITIONS:
This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. Communication with team members, clients, and stakeholders is expected. 
Ethos Risk Services is an equal opportunity employer that does not discriminate on the basis of religious creed, sex, national origin, race, veteran status, disability, age, marital status, color or sexual orientation or any other characteristic.</div>

Sr. Agentic AI Software Developer

Explore 86+ Senior data ops engineer contract in Irving this May. Find roles across top companies and apply now to boost your career.