Remote Data Engineering & Analytics Jobs

Data Migration Team Lead (Senior) – Ford / S/4HANA / Data Migration (100% Remote) | Ref. 201657-1 📍 100% Remote 🕘 Full-time 🗣️ English: Intermediate/Advanced (required — interviews conducted in English) | 🕘 9:00 AM – 5:00 PM UTC ⚠️ CVs must be submitted in English 🎯 About the Role Join the team supporting one of the world's largest automotive manufacturers, working within a global consulting firm to lead the planning and execution of a critical data migration program. You will coordinate cross-functional teams, define the migration approach and controls, and manage risks to ensure a smooth and reliable transition to the target system. ✅ Responsibilities Lead the end-to-end planning and execution of data migration activities Ensure data is accurate, complete, and ready for use in the target system Coordinate cross-functional migration teams across workstreams Define the data migration approach, methodology and quality controls Identify, assess and manage migration risks and issues Ensure a smooth and reliable transition with minimal disruption Report migration status and progress to senior stakeholders 🔍 Required Skills Proven experience as a Data Migration Lead or Team Lead in large-scale enterprise programs Strong knowledge of data migration methodology : extraction, transformation, cleansing, validation and loading Experience coordinating cross-functional teams across multiple workstreams Ability to define migration controls and risk management strategies Experience w

Job Description (Key Responsibilities) Assist clients in delivering the overall security design and approach across complex SAP environments Lead the implementation of SAP security designs within client organizations Own and lead development and testing of SAP authorization profiles Configure and/or perform security reviews of SAP GRC Access Controls modules Work closely with project teams to: Provide security guidance Ensure security is embedded throughout SAP delivery lifecycles Lead a team through SAP security build and testing activities Skill Name Years of Experience Details / Examples Assisting clients with overall SAP security design across complex SAP environments Delivering and embedding SAP security designs within client organizations Ownership of SAP security delivery end‑to‑end Leading teams through development and testing of SAP authorization profiles SAP Roles and Authorizations design and maintenance Configuration and review of SAP GRC Access Controls modules Performing SAP security reviews Advising project teams on SAP security approach SAP security governance frameworks SAP security policies documentation SAP security procedures documentation SAP GRC Access Control reporting Reviewing and analyzing SAP GRC Access Control reports Formulating remediation and security recommendations from GRC reports Hands‑on SAP Fiori security SAP BTP application security SAP Cloud security Enterprise Threat Detection (ETD) Originally posted on Himalayas

WHO WE ARE Trees for the Future (TREES) partners with farmers to restore their land and unlock prosperity through regenerative farming. Our vision is a future where every farmer is a thriving climate changer—building a prosperous livelihood while restoring the land and contributing to climate solutions. Since 1989, we’ve worked with communities to grow trees, restore landscapes, and improve livelihoods. Today, our work is farmer-led and grounded in science: farmers grow diverse trees and crops that rebuild soil health, improve food security, support biodiversity, and remove carbon from the atmosphere. By connecting farmers with markets, technology, and finance, we help turn restored land into thriving farm enterprises that strengthen rural economies. We currently work alongside farming communities in Kenya, Tanzania, and Uganda. Joining our collaborative team means contributing to lasting change led by farmers, with benefits that reach far beyond the farm. Learn more at . THE ROLE The Data Systems Senior Manager is responsible for the effective day-to-day management, configuration, implementation, and continuous improvement of TREES' Salesforce environment. This is a highly hands-on role for an experienced Salesforce professional who combines strong Salesforce administration and functional expertise with excellent project management, requirements gathering, and stakeholder engagement skills. The Senior Manager will work closely with the Monitoring, Evaluation & Learning (

Role: Senior Data Engineer (GenAI / AWS) Duration: 3+ Months (Extension Possible) Location: Los Angeles, CA (Remote/Hybrid) Employment Type: C2C Experience: 14+ Years Note: AWS certification is required. We are looking for a highly experienced Senior Data Engineer with strong expertise in AWS, Python, Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will design and build scalable AI-powered document processing solutions, vector search pipelines, and intelligent AI agents on AWS. Key Responsibilities Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend. Build automated document-processing workflows for structured and unstructured data. Implement document chunking, embeddings, vector indexing, semantic search, and RAG solutions. Develop and maintain vector databases and knowledge bases. Integrate knowledge bases with AI agents for contextual information retrieval. Build and deploy AI agents using Claude Agent SDK on Amazon Bedrock AgentCore Runtime. Develop and maintain CI/CD pipelines using GitHub Actions. Optimize data pipelines for scalability, security, reliability, and performance. Must-Have Skills 14+ years of Data Engineering experience. Python, SQL AWS Step Functions, Lambda, S3 Amazon Textract and Comprehend Document AI / OCR Vector databases and embeddings Document chunking and indexing Advanced retrieval and reranking RAG and knowledge-base integration Amazon Bedrock Claude Agent SDK Age

As a T&T | CBRE Senior Project Manager- Data Center Operations you will be responsible for providing senior project management services to one of our large financial clients on their data center projects. Experience with critical facilities infrastructure, power distribution, delivery systems, interrupted power supply, network and sustainability distribution is highly preferred. This is a remote role with travel to the client sites. Ideally, we are looking for someone based in the Twin Cities, Birmingham, Alabama or Chicago, Illinois. Central Time Zone is preferred and the ability to travel. What You’ll Do: Manage all areas of project management for multiple real estate projects. This includes planning, design, construction, occupancy, and closeout. Work directly with clients to prepare all elements of the project. This includes the scope of work, project delivery resource requirements, cost estimates & budget, work plan schedule & milestones, quality control, and risk identification. Define the project delivery resources from pre-qualified lists or through the project qualification process. Conduct complex requests for proposals, complete bid evaluations, and recommend resources to clients. Facilitate the development of a charter and integrated timeline. Ensure all functions remain on schedule and issues get resolved or escalated. Facilitate regular meetings to review project status for active and pending projects. Collaborate to develop solutions and guide the p

About the Team Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environments. We operate on a T-shaped engineering model: while each engineer brings deep expertise in a primary domain, every team member maintains practical fluency across neighboring systems. This shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverage. Our development is fundamentally based on open-source projects, and contributing to them is a major part of our work. We develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational culture. Role Overview We are seeking a Senior Software Engineer who combines strong software architecture principles with deep technical domain expertise in Datacenter Networking and DPU architectures. Fitting into our T-shaped engineering model, you will drive the development of control planes powering high-density, high-throughput infrastructure for AI training and inference workloads. Familiarity with automated bare-metal provisioning and lifecycle management is a strong asset. Core Responsibilities Control Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and Go. Architecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural

Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands include Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore, which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites. About the Job We currently have an exciting opportunity for a Data Analyst - eCommerce Analytics to join the Tailored Brands Enterprise Analytics team. As Data Analyst – eCommerce Analytics, your primary responsibility will be to extract actionable insights from data to optimize ecommerce performance with insights from site content, promotions, customer behavioral data, marketing strategies, and market data, just to name a few. You will collaborate with ecommerce product management, category management, and site operations teams to drive data-driven decisions. The primary goal is providing insights for the ecommerce and marketing teams to guide, monitor and measure their strategies. What You’ll Do | Key Accountabilities Data Collection: Partner with operations to track customer actions on the website through Google Tag Manager and Google Analytics. Data Analysis: Dive deep into customer behavior data in Google Analytics, sales data in Snowflake, and aggregated data in Power BI dashboards to identify tr

We are looking for a Data Engineer to design, develop, and maintain scalable, reliable, and secure data platforms that power business intelligence and data-driven decision-making. The ideal candidate will bring strong expertise in data architecture, ETL pipelines, data integration, and platform optimization, along with the ability to guide engineering teams and establish technical best practices. In this role, you will drive data engineering initiatives, modernize existing data systems, ensure data quality and governance, and collaborate with cross-functional teams to deliver high-impact data solutions aligned with business objectives. Responsibilities: Design, build, and scale robust ETL pipelines to support complex data workflows while ensuring high performance, reliability, and adaptability to evolving business needs. Automate and manage data ingestion from diverse sources (databases, APIs, cloud platforms), ensuring system resilience, fault tolerance, and failover readiness. Optimize data storage, processing, and retrieval layers to balance performance, scalability, and cost efficiency across the data platform. Modernize and enhance legacy data systems by identifying gaps, implementing architectural improvements, and aligning solutions with future business requirements. Lead technical excellence within the data engineering function through mentorship, code reviews, best-practice enforcement, and adoption of advanced tools and frameworks. Ensure end-to-end data quality, in

AI Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Data Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $80,000–$100,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of data engineering experience, with significant work supporting ML or AI workloads. Strong p

Accurately enter, update, and maintain provider information in internal systems Validate provider credentialing data, contracts, and demographic data to ensure accuracy Ensure provider records are in compliance with CMS, HIPAA, and state/federal regulations Conduct routine audits and reconciliations to maintain data integrity. Review and load the required data into the health plan system as the process guidelines require Manage and monitor daily activities and meet the set targets Work independently and complete the tasks in established timeframe with minimal supervision Must be able to prioritize and complete all job duty requirements Must be able to adhere to changes based on department and/or business Excellent written communication skills in English with strong clarity and accuracy Strong reading and listening comprehension skills in English to effectively process the requests Well-developed analytical, logical, and organizational abilities for problem-solving Ability to prioritize tasks effectively, ensuring timely and accurate processing of intakes Keen attention to detail with the capability to multitask in a fast-paced environment Strong customer focus, with a passion for delivering exceptional service and support Proficiency in Microsoft Office Suite and experience navigating web-based applications Typing speed of at least 40 words per minute, with accuracy and efficiency Excellent internet connectivity, Hard-Wired Productive and secure work environment, distraction-

About ConnectPrep : Our goal is to redefine “tutoring” – to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting – connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You’ll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: Core skills You enjoy creative problem solving and working with messy, real-world data. You have strong math/quantitative skills and excellent attention to detail. You are curious about how data can improve learning and student outcomes. Academic & technical background You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. You have some coding expe

The Senior Data Engineer is responsible for complex design, development, deployment, operational support, technical communication, mentoring, and continuous improvement across Mom’s Meals data and integration platforms. This role works independently on complex assignments and provides guidance to junior and mid-level engineers. The Senior Data Engineer may operate broadly across Databricks, dbt Cloud, Power BI, Azure Data Factory, Lakeflow, Azure DevOps, and related Azure services, or may serve as a senior specialist within a specific platform area. This role bridges hands-on engineering delivery with solution design, platform reliability, compliance-aware implementation, stakeholder communication, and team leadership. The successful candidate must be able to communicate with technical teams, business stakeholders, external partners, infrastructure, information security, network teams, and leadership. Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) their first few days for new hire orientation, training, and onboarding. At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Salary range: $120,000-130,000 plus 10% annual bonus target Benefits Our employees enjoy a generous package of benefits that we are thrilled to

GVI, Inc. , a subsidiary of Three Saints Bay, LLC, and a government industry leader, is looking for a Technical Database Librarian to join our Team! This position will support our valued Naval Sea Logistics Command customer in fulfilling their function as the Technical Manual Management Activity (TMMA) for legacy and rapid-fielding logistics systems. In this position, you will execute the TMMA functions for PMO 314. Responsibilities: Technical Data Management: Manage and maintain accurate records within theMBPS Tech Data Mgmt orTechnical Data Management Information System (TDMIS). Ensure all assigned technical manuals are properly indexed, and coordinate the printing, stocking, and distribution of manuals to Fleet users. Administrative Formatting and Redlining: Incorporate approved technical updates into the manual formats. Execute administrative redlining strictly based upon finalized engineering source data, Engineering Change Proposals (ECPs), and redlines that have been formally signed and approved by the cognizant TMA/ISEA. Technical Authority Boundary Enforcement: Verify completeness of technical source data provided by the ISEA. If data provided is incomplete, return the technical data package to the TPOC for remediation by the TMA. Execute within the bounds of the TMMA. Do not author original technical/engineering maintenance procedures, altering system parameters, or determine Reliability-Centered Maintenance (RCM) logic. Track and manage the periodic review cyctle f

Forward Deployed Engineer (Data, ML & AI) Location: Remote Timezone: NA/Eastern Type: Full-time Experience: 10+ Years Role Overview This position requires a Forward Deployed Engineer (FDE) specializing in Data, Machine Learning, and AI to embed directly within customer environments. You will serve as the primary technical authority transforming complex data challenges and operational bottlenecks into production-grade data pipelines, machine learning systems, and agentic AI solutions. The role is heavily customer-facing: you will work alongside client business units and engineering teams to rapidly assess legacy data estates, build scalable modern data platforms, and deploy custom GenAI/LLM workflows that drive measurable business velocity. This is a high-ownership, hands-on role where you will leverage Spec-Driven Development (SDD) and AI-assisted workflows to build, refactor, and demonstrate immediate value directly where the customer operates. Key Responsibilities Customer Embedding & Data Delivery: Deploy directly into customer environments to understand their domain logic, underlying data pipelines, and architectural constraints. Own end-to-end delivery—from data discovery and schema design to pipeline deployment and model integration—building trust as the customer's lead technical partner. Data Platform & Architectural Modernization: Partner with client business leaders to evaluate legacy technology estates (e.g., monolithic SQL databases, or unmaintained ETL

Position Overview As a Senior Data Engineer, you will architect and build the foundational data pipeline infrastructure that powers our decentralized Data Mesh strategy. In this role, you will support the transition of our data ecosystem from legacy on-prem architecture to a modern cloud data platform leveraging Snowflake. You will design reference architectures and reusable pipeline patterns that support batch, event-based, and streaming data movement. Crucially, you will ensure our data platform is "AI-ready" by building the high-quality pipelines and robust semantic layers needed to drive our next-generation "Self-Service 2.0" natural language data capabilities. Beyond technical execution, you will lead a small data engineering team and serve as a technical mentor to decentralized analysts across the business, empowering them to build high-quality, self-service data products. Key Responsibilities Pipeline Architecture: Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-prem and cloud sources. Snowflake Platform Ownership: Serve as the core developer for our Snowflake data platform, ensuring optimal performance, modeling, and storage structures. AI Readiness & Semantic Modeling: Architect and build transform pipelines that deliver high-quality data inputs to Snowflake and dbt AI features. Design and maintain the robust semantic layers and metadata models required to power "Self-Service 2.0" n

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. Our core belief: combining the highest quality data with state-of-the-art software delivers immense value. In your role as the Product Manager for Link Key People data, you take ownership sourcing, managing and maintaining data from health care professionals. That ranges from what podcasts they host to what scientific publication they have made. You will use data pipelines, AI and human oversight to provide high quality and complia

As a Senior Data Analyst, Executive Analytics at Namecheap and Spaceship, you will be the go-to analyst for the C-level of both brands and for our board. You will take open-ended questions from leadership, figure out what's really being asked, get the data yourself and come back with a clear recommendation, which you will present yourself. This is a brand-new role: you will define the exec analytics function and the board reporting standard from day one, and your conclusions will go straight to the people making the decisions. Location: 100% remote from Europe (CET ±2h), B2B contract! Interview Process: 5 stages - 30 min intro call -> 1h conversation with the Head of BI -> 1h technical interview -> take-home case (up to 5h) -> 1h case presentation Tools: SQL (BigQuery, MSSQL, MySQL, Trino), Python (pandas, notebooks), Tableau, Looker / Looker Studio, Excel / Google Sheets Reporting to: Head of BI Team size: A global BI department of 7 teams, with LLM tools in daily use, and YOU as the dedicated analyst for the C-level and the board! What will make your journey with us amazing? A supportive manager who cares about your well-being and is invested in your professional growth. A culture of continuous learning, with clear targets and feedback. A global company with over 2500 employees located in more than 26 countries around the world, including offices in 3 countries: Ukraine, Portugal, and India. What will you do: You will be the single analytics point of contact for

Position Summary... What you'll do... Role summary: The Senior Manager, Data Analytics at Walmart leads advanced data initiatives to drive strategic business insights and experience improvements for our self service voice and chat channels. This role requires expertise in data analysis / strategy, product and business relationship partnership, AI design experience, and story telling to translate complex data into actionable solutions. The position involves collaborating across functions to identify data sources, ensure data integrity, and develop scalable analytics frameworks. The successful candidate will mentor teams, influence stakeholders, and apply statistical and big data methodologies to support decision-making and enhance business performance within a dynamic environment. About the team: The Voice of the Customer Insights Team within Customer Engagement Services (CES) connects customer experiences with the teams enhancing them. The team specializes in analyzing the end-to-end customer journey across Walmart’s eCommerce ecosystem, focusing on friction points and resolution effectiveness via self-service and Customer Care channels. By integrating customer, operational, and behavioral data, the team identifies trends, root causes, and improvement opportunities. The mission is to transform customer insights into actionable strategies that reduce friction, enhance resolution and self-service, and influence processes to deliver lasting customer satisfaction, loyalty, and va

The Staubli FCS Data Centers Key Account Manager is responsible for managing and building strategic, long-term relationships with Stäubli key clients to maximize mutual value, drive revenue, and ensure customer retention. Responsibilities include acting as the primary contact, understanding client needs, coordinating within the FCS Division to meet customer demands, developing account strategies for growth, and analyzing sales data. A successful Key Account Manager possesses excellent communication, interpersonal and negotiation skills, a strong understanding of the industry, and the ability to act as a trusted advisor. Reports to: FCS Data Centers Local Business Head – North America Responsibilities and Objectives: The Data Center Key Account Manager will be the primary point of contact with Staubli’s Data Center key accounts Develop and maintain strong relationships with current or new customers, channel partners, and co-suppliers on regular basis, ensuring a deep understanding of their needs. Educate and persuade potential customers on the value and advantages of Stäubli products and services. Gain market insights to identify product development opportunities, share competition intelligence, to ultimately generate new Business Development opportunities for Stäubli Data Center product portfolio. Prepare and deliver technical presentations, demos, and workshops to customers and prospective clients, creating value. Participate in weekly North American & Global meetings an

Bennett Aerospace Inc., a subsidiary of Three Saints Bay, LLC , and a Federal Government Contractor industry leader, isseeking a highly motivateda Data Scientist to develop automation frameworks and analytical models that accelerate the interpretation of ecological field data within the Hydrogeomorphic (HGM) approach. The successful candidate will design, test, and implement algorithms that streamline functional assessments and ensure consistent outputs across geographic regions and mission areas. Position Responsibilities Develop algorithms and automated workflows to process field-collected ecological data. Build data pipelines and scripts in R, Python, or equivalent tools to support reproducible analysis. Ensure automation tools generate consistent, defensible outputs for wetland functional assessments. Conduct verification and validation using test datasets and iterative refinement. Deliver technical documentation, user guides, and reports to support tool deployment and peer review. Position Requirements: Master’s degree in Data Science, Statistics, Computer Science, or related field (PhD preferred). 5–10 years of experience in data analysis, modeling, and automation workflows. Proficiency in R, Python, and statistical modeling techniques. Experience working with ecological, environmental, or engineering datasets preferred. Strong analytical and problem-solving skills, with proven ability to translate complex data into decision-support products. Security Requirements: Must

At Logicalis Spain, we want to incorporate a Data Engineer with solid experience in DataStage. The selected person will work mainly with DataStage and can also participate in data engineering projects on modern platforms such as AWS, Azure, Google Cloud, Snowflake, Databricks, or Microsoft Fabric. The Data, Analytics & AI team at Logicalis works with national and international clients, carrying out major data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture projects, covering the entire data lifecycle. TECHNICAL REQUIREMENTS: Experience in IBM DataStage and ETL process development. Solid knowledge of SQL and relational databases. Experience in integration, transformation, and processing of data from different sources. Knowledge or experience in data platforms and cloud environments such as AWS, Azure, Google Cloud, Snowflake, Databricks, or Microsoft Fabric. Experience with Cloud Pak for Data (CP4D) is highly valued, along with knowledge of Python, Spark, dbt, or orchestration tools, and participation in migration projects from DataStage to cloud platforms. Ability to analyze, optimize, and resolve incidents in data flows and processes. RESPONSIBILITIES: Design, develop, and maintain data integration and transformation processes using IBM DataStage. Analyze and optimize ETL processes, ensuring their performance.

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Summary: The Data & AI Product Delivery Manager, Senior is the execution leader for one or more cross‑functional Data & AI product teams and reports to the Senior Director Data & AI Product Operations. This role ensures delivery flow, risk management, and outcome‑aligned execution. The Delivery Manager ensures utilization of the product operating model, so that the product development process flows efficiently from discovery through delivery. By proactively aligning teams and resources, the Delivery Manager helps translate Data & AI product management’s strategic priorities into actionable plans, enabling the team to deliver targeted business value. This role ensures that every step of execution is purposefully connected to the outcomes identified by product management—so the right problems are solved, the right way, at the right time, for maximum impact. Primary Duties & Responsibilities: Leads end‑to‑end delivery execution and ensures predictable, high‑quality delivery. Utilizes lean, agile, and flow‑based practices to improve throughput and reduce cycle time. Coordinat

Why USAA ? At USAA , our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA , where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer – Mid Level , you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. You will develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Independently conducts work on the full life cycle of data engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements complex technical solutions for data engineering and analytic systems. Identifies and solves significant technical problems and architecture deficiencies to in

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA ’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us! NVIDIA is redefining what’s possible with AI, and our Structured Data Foundation Model team is at the forefront of that mission. We’re building unified foundation models that understand structured data in its many forms: relational databases and heterogeneous graphs, tabular data, and time series. As an engineer on this team, you’ll be designing and experimenting with novel architectures (Transformers, GNNs, and beyond) that generalize across diverse schemas, domains, and data modalities. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance. If you’re excited about relational learning, tabular modeling, time series forecasting , and building AI systems that go far beyond single-table benchmarks, this is the team f