Data Consultant jobs at Red River Bancshares

Job Title: AFC Modelling - Data Scientist Corporate Title: Vice President Deutsche Bank benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping Deutsche Bank's business operations and global financial services clean from financial crime while serving the interests of the Bank and society. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of: Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. Our AFC Team will provide you with opportunities to learn, grow and define your career. We foster an open, diverse, and inclusive team culture, that is engaged and well-supported for prosperity and enjoyment of a life/work balance. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs What You'll Do Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice Responsible for Driving and execution of the Anti-Money Laundering (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/Framework Develop and evolve platform reporting statistics/data to monitor ongoing model success; perform 'deep dives' to interpret data quality issues, identify remediation and track to resolution Represent the group in various data governance forums, and clearly communicate data related issues and potential resolution paths Work with Business (1LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models Review and address open AML TM findings in a timely fashion, work in partnership with AFC stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of Monitoring within the AFC function How You'll Lead Establish a clear vision and goals for the team, Inspire the team to perform well and achieve business goals; provide guidance and instruction to the team, and coach them as needed. Oversee daily activities and progress towards goals, and ensure the team is adequately equipped to perform their duties. Prioritize tasks and allocating tasks to the team accordingly. The role will be collaborating across multiple teams within the M&S (Monitoring & Screening) function. Skills You'll Need Bachelor's/Master's degree in Computer Science, Data Science, Management Information System (MIS), Information Management, or equivalent Previous relevant experience conducting data science or Model Development in a business setting coupled with excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Experience in Financial Crimes space with expertise in AML Transaction Monitoring and Advisory, with a deep understanding of transaction monitoring data for various lines of businesses, AML red flags, and AML typologies. Proficient in Financial Crime Compliance covering multiple product lines, such as Correspondent Banking, Private Banking, Wealth Management, Brokerage, Trade, and Asset Management. Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), Data visualization tools. Skills That Will Help You Excel Flexible and able to adapt to urgent deliverable timelines A positive outlook in a goal-oriented organization Able to demonstrate excellent analytical, judgment, and research skills Meticulous with a strong attention to detail and the ability to multitask Able to interpret complex requirements and work proactively with stakeholders in different organizational units Expectations It is the Bank's expectation that employees hired into this role will work in the New York City office in accordance with the Bank's hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in New York City is $150,000 to 230,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate's skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

OVERVIEW - About the role The Broker-Dealer is seeking a Surveillance Data Analyst with experience in the financial and trading industry, strong technical and analytical skills, and a results-driven approach. The role involves collecting, transforming, and analyzing trade and related data to support surveillance, compliance, and audits. As part of the Trade Desk Surveillance (TDS) team, you'll help identify regulatory risks, increase efficiency, and optimize processes for scalability. RESPONSIBILITIES - What you'll do What You'll Do: Collect, transform, and analyze trade-related data to support reviews, audits, and regulatory reporting Build workflow automations and optimize processes for efficiency and scalability Use SQL, Python, and Excel to query and analyze large datasets Collaborate with TDS, Trading, and Compliance teams to identify risks and improve systems Maintain documentation and support issue resolution via Jira Assist with exception investigations and train team members What You Bring: Bachelor's degree in Finance, Computer Science, or related field 1-3 years experience with SQL, Python, Excel, and data visualization tools Strong analytical, troubleshooting, and communication skills Familiarity with server-based systems and JSON/CSV data structures Willingness to obtain SIE and Series 7 within 6 months Bonus Points: Knowledge of FINRA/SEC regulations, CAT reporting, and trading systems Experience with automation tools (VBA, UiPath, PowerShell) and Jira/Confluence Familiarity with AI/LLM applications for analysis

No C2C We're looking for a hands-on Data Engineer to help build, scale, and fine-tune real-time data systems using Kafka, AWS, and a modern data stack. In this role, you'll work deeply with streaming data, ETL, distributed systems, and PostgreSQL to power analytics, product innovation, and AI-driven use cases. You'll also get to work with AI/ML frameworks, automation, and MLOps tools to support advanced modeling and a highly responsive data platform. What You'll Do Design and build real-time streaming pipelines using Kafka, Confluent Schema Registry, and Zookeeper Build and manage cloud-based data workflows using AWS services like Glue, EMR, EC2, and S3 Optimize and maintain PostgreSQL and other databases with strong schema design, advanced SQL, and performance tuning Integrate AI and ML frameworks (TensorFlow, PyTorch, Hugging Face) into data pipelines for training and inference Automate data quality checks, feature generation, and anomaly detection using AI-powered monitoring and observability tools Partner with ML engineers to deploy, monitor, and continuously improve machine learning models in both batch and real-time pipelines using tools like MLflow, SageMaker, Airflow, and Kubeflow Experiment with vector databases and retrieval-augmented generation (RAG) pipelines to support GenAI and LLM initiatives Build scalable, cloud-native, event-driven architectures that power AI-driven data products What You Bring Bachelor's degree in Computer Science, Engineering, Math, or a related technical field 3+ years of hands-on data engineering experience with Kafka (Confluent or open-source) and AWS Experience with automated data quality, monitoring, and observability tools Strong SQL skills and solid database fundamentals with PostgreSQL and both traditional and NoSQL databases Proficiency in Python, Scala, or Java for pipeline development and AI integrations Experience with synthetic data generation, vector databases, or GenAI-powered data products Hands-on experience integrating ML models into production data pipelines using frameworks like PyTorch or TensorFlow and MLOps tools such as Airflow, MLflow, SageMaker, or Kubeflow

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Trinity Industries is searching for a Sr. Data Engineer to join our Data Analytics team in Dallas, TX! The successful candidate will work with the Trinity Rail teams to develop and maintain data pipelines in Azure utilizing Databricks, Python and SQL. Join our team today and be a part of Delivering Goods for the Good of All! What you'll do: Facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met Work with leadership to prioritize business and information needs Engage with product and app development teams to gather requirements, and create technical requirements Utilize and implement data engineering best practices and coding strategies Be responsible for data ingress into storage What you'll need: Bachelor's Degree Computer Science, Information Management, or related field required; Masters preferred 8+ years in data engineering including prior experience in data transformation Databricks experience building data pipelines using the medallion architecture, bronze to gold Advanced skills in Spark and structured streaming, SQL, Python Technical expertise regarding data models, database design/development, data mining and other segmentation techniques Experience with data conversion, interface and report development Experience working with IOT and/or geospatial data in a cloud environment (Azure) Adept at queries, report writing and presenting findings Prior experience coding utilizing repositories and multiple coding environments Must possess effective communication skills, both verbal and written Strong organizational, time management and multi-tasking skills Experience with data conversion, interface and report development Adept at queries, report writing and presenting findings Process improvement and automation a plus Nice to have: Databricks Data Engineering Associate or Professional Certification > 2023

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. About the Role The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. Responsibilities Develop data conversion procedures using SQL, Java and Linux scripting Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications Develop new specifications to satisfy new customers and products Serve as the primary point of contact/driver for all technical related conversion activities Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates Maintain and update technical conversion documentation to share with internal and external clients and partners Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills Adapt and creatively solve encountered problems under high stress and tight deadlines Learn database structure, business logic and combine all knowledge to improve processes Be flexible Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication Management of multiple projects and conversion implementations Ability to proactively troubleshoot and solve problems with limited supervision Qualifications B.S. Degree in Computer Science or comparable experience Strong knowledge of Linux and the command line interface Exceptional SQL skills Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) Familiarity with various online banking applications and understanding of third-party integrations is a plus Effective written and verbal communication skills Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels Strong attention to detail Proficiency with raw data, analytics, or data reporting tools Preferred Skills Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries Experience with front end web interfaces (HTML5, Javascript, CSS3) Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation for extended periods of time. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel is required for this position. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Equal Opportunity Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

Must Have Technical/Functional Skills • Deep understanding of Financial Crime Risk Management (FCRM): AML, KYC, Sanctions Screening, Transaction Monitoring, Fraud Detection • Experience designing data solutions for risk scoring, suspicious activity reporting, and regulatory audits • Advanced knowledge of: Data governance and data management practices Enterprise data policy, standards & strategy M&A due diligence process Line of Business (LOB) data strategy Data risk management and data life cycle management • Experience with scalable data mesh architectures on Azure Azure Data Factory Databricks • Strong analytical skills using software tools and reporting techniques • Familiarity with regulatory frameworks: FATF, FINTRAC, OFAC (good to have) • Knowledge of FCRM data models and case management workflows (good to have) • Integration of data from core banking, payment, and customer systems (good to have) • 10+ years of relevant experience Roles & Responsibilities • Design and implement scalable data mesh architectures • Define data domains, schemas, and integration patterns • Support FCRM processes and regulatory compliance through data solutions • Mentor and coach team members • Contribute to strategic direction and advise senior leadership • Ensure data solutions align with internal controls and regulatory reporting • Document issues/findings and monitor lifecycle • Develop procedures and document processes • Perform risk assessments and support operational risk management • Conduct user training and provide support to Tableau users. Interested candidates please share me your updated resume to ******************* Salary Range- $130,000-$150,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.< /span> Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Must Have Technical/Functional Skills: We are seeking an experienced AWS Data Engineer to join our data team and play a crucial role in designing, implementing, and maintaining scalable data infrastructure on Amazon Web Services (AWS). The ideal candidate has a strong background in data engineering, with a focus on cloud-based solutions, and is proficient in leveraging AWS services to build and optimize data pipelines, data lakes, and ETL processes. You will work closely with data scientists, analysts, and stakeholders to ensure data availability, reliability, and security for our data-driven applications. Roles & Responsibilities: Key Responsibilities: • Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data. • ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems. • Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. • Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data. • Data Security: Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations. • Optimization and Monitoring: Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health. • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals. • Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance. Base Salary Range: $100,000 - $130,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Senior Data Engineers, who are passionate about marrying data with emerging technologies. As a Capital One, Senior Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Python, Java, Scala, and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Data EngineerPlano, TX: $144,200 - $164,600 for Senior Data EngineerRichmond, VA: $144,200 - $164,600 for Senior Data EngineerWilmington, DE: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Data EngineerRichmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking SeniorData Engineerswho are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Data EngineerRichmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role: Process Engineering Consultant Must Have Technical/Functional Skills As a Process Engineering Consultant, you should have used methodologies like Lean and Six Sigma to identify and implement process improvements that enhance client experience and profitability. • Key responsibilities include conducting process assessments, developing new strategies, analyzing activities for operational transformation, using data and analytics for optimization, and collaborating with both business and technology partners to implement solutions. • Develop and implement strategies: Plan, develop, and implement process strategies to build a more efficient bank. • Experience in Six Sigma or Lean Manufacturing Concepts, and process engineering or business-related function (operations, strategy development, organizational design, or information technology). • Use data and analytics: Analyze process activities using tools like Power BI, Power Query, and VBA to support business process optimization The role is responsible for collaborating with multidisciplinary teams focused on designing innovative services and experiences that create measurable value to our clients while meeting business objectives. The role uses independent judgement to determine methods and approaches to work, developing key client-facing “moment of truth” journeys that define a client's relationship, partnering with internal clients to articulate a vision for a new or different type of service. The role makes decisions that influence department strategy, conducting research that builds empathy with the end client, deriving key insights, co-creating solutions, all with the goal of taking the service live. The role acts as a resource integrator, conducting primary research, synthesizing multiple data sources and research insights, and working with cross-functional teams to research and design detailed solutions. What you'll be doing As a member of the Process Engineering team, you'll identify and implement process improvements that enhance client experience and generate the right kind of profitability. As a Process Engineering Specialist, you'll use your experience and direct client feedback to improve the quality of key processes that make a difference for our clients. You'll assist in the planning, development, and implementation of a process strategy that will build the bank of the future. How you'll succeed • Conducting process assessments - Perform ongoing process reviews to identify issues early on and recommend solutions to business challenges. Stay on top of best practices and industry knowledge to identify process improvements that will create a best-in-class client experience. • Presenting recommendations - Provide feedback and advice on projects that will improve processes and resolve systematic issues. Consider business needs and make practical recommendations for continuous improvement. • Leadership skills - Use your expertise in process engineering methodologies and project management to lead projects and initiatives. Proactively gather data, information, and stakeholder feedback to provide informed guidance to your team. • Maintain a collaborative work environment and support your team to resolve problems as they arise. Who you are • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way • You embrace and advocate for change. You continuously evolve your thinking and the way you work in order to deliver your best. • Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. • You're a certified professional. You have current accreditation and good standing in Formal Green Belt or Black Belt certification. • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability. • Collaborate with stakeholders: Work with business and technology partners to gather feedback, define requirements, and implement improvements • Document and validation: Create detailed process maps and document future state processes. Validate solution designs and test results with business partners Roles & Responsibilities • Key responsibilities include conducting process assessments, developing new strategies, analyzing activities for operational transformation, using data and analytics for optimization, and collaborating with both business and technology partners to implement solutions. • Develop and implement strategies: Plan, develop, and implement process strategies to build a more efficient bank. • Experience in Six Sigma or Lean Manufacturing Concepts, and process engineering or business-related function (operations, strategy development, organizational design, or information technology). • Use data and analytics: Analyze process activities using tools like Power BI, Power Query, and VBA to support business process optimization • Good communication / organizational skills to understand and discuss development requirement. • Experience with approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational, or process problems • * Excellent verbal and written communication skills." Interested candidates please shared me your updated resume to *******************

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

CapCenter is seeking a Closing Consultant to help pursue our mission: simplifying the homeownership journey with consolidated services, transparent pricing, and most importantly, a client-centric philosophy. This is a high growth role that we actively promote into operations and sales opportunities within 18 months. In the Closing Consultant role, you'll be the primary point of contact for CapCenter clients who are on the path to close a loan. Closing Consultants analyze our clients' applications and supporting documents to ensure each loan meets our rigorous underwriting standards. Alongside your analysis, you'll guide our clients, working internally with realtors, loan officers, underwriters, and insurance advisors so that all parties are set up for success at closing. Here's what you'll need to know about the role, our team, and what it takes to succeed at CapCenter. You will In your first 30 days, you will: Secure an NMLS license (we'll sponsor it!) Become a subject matter expert on lending Complete our introductory Consultative Sales training course In your first 90 days, you will: Act as a trusted advisor and advocate for our clients as they prepare for closing Work collaboratively with others to ensure accuracy and efficiency at each step of the way Build on your communications and underwriting knowledge through learning modules, proprietary training, and live coaching Complete a self-assessment to build a blueprint for career progression at CapCenter You are A critical thinker: we're happy to teach the content, but you should be hungry to learn, comfortable thinking on your toes, and adept at solving problems. A communicator: most Americans buy less than five homes in their life - it's critical that you build trust, distill complex financial concepts simply, and listen actively. Self-aware: you're looking for an opportunity to develop your strengths and weaknesses Driven to help others: you want to do good Ambitious: you want to do well A college graduate with a bachelor's degree We hire for talent, not experience. You should be a solutions-oriented thinker who is not afraid to roll up your sleeves and tackle challenging problems. You'll get NMLS Certification Competitive salary, variable pay & annual bonus 401k (with matching!), health, dental, & vision Training to learn the home-ownership experience back to front. To participate in cross-functional collaboration that fosters lateral and vertical career growth The opportunity to help people through one of the most stressful and important transactions of their lives. Our culture is growth oriented. Past Loan Analysts have been promoted into sales, operations, team lead, and market management roles.

Senior Workday Payroll Consultant - 9-12 Month Contract Hale International is partnering with a large manufacturing organization to support the implementation of Workday Payroll across a complex, unionised environment. We are looking for an experienced Senior Workday Payroll Consultant to play a key role in the delivery of this programme, supporting a payroll population of approximately 15,000 employees across multiple U.S. states and select international locations. This role will cover the full lifecycle of the implementation, from design and requirements gathering through testing, go-live, and post-production stabilization and optimisation. Key Responsibilities: Lead the configuration and delivery of Workday Payroll across a large, multi-entity manufacturing workforce. Support weekly, bi-weekly, semi-monthly, monthly, and off-cycle payroll runs. Gather detailed business and payroll requirements by working directly with Payroll, HR, Finance, Compliance, and Union stakeholders. Provide expert guidance on Workday Payroll best practices, tailored to a unionised manufacturing environment including shift work, overtime, premiums, and complex pay rules. Configure and support multi-state payroll processing and compliance, with a focus on California, Oregon, Washington DC, and Virginia. Support aspects of global payroll for Canada, France, and the UK. Lead testing across all phases, including UAT, Parallel Payroll, and full end-to-end testing. Work closely with technical teams to resolve payroll, integration, and data issues. Support payroll data migration and validation, including balances and year-to-date figures. Provide hands-on support during post-go-live stabilization, followed by optimisation and enhancement activities. Partner with Time Tracking, Absence, Benefits, and Finance teams to ensure full end-to-end payroll integration. Support knowledge transfer and help establish strong operational processes for the business. Required Experience: 5+ years of Workday Payroll experience, including at least one full end-to-end implementation. Strong background delivering payroll solutions within manufacturing or similarly regulated environments. Proven experience supporting unionised payroll populations. Hands-on experience with multiple payroll frequencies (weekly, bi-weekly, semi-monthly, monthly, and off-cycle). Strong knowledge of multi-state payroll compliance, particularly CA, OR, DC, and VA. Exposure to global payroll operations (Canada, France, and the UK) highly desirable. Demonstrated experience leading UAT, Parallel, and End-to-End payroll testing. Confident working directly with senior stakeholders on requirements gathering and solution design. Strong reporting, reconciliation, and audit support experience. Excellent communication skills and the ability to work in fast-paced, large programme environments. This is an excellent opportunity to take a lead role on a large-scale Workday Payroll implementation within a complex, unionised manufacturing business, with additional exposure to global payroll operations.