Data Modeler jobs at Fidelity Investments

An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers). We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions. Responsibilities: Analyze data to improve how the company finds, converts, and supports customers Create models that predict lead quality, conversion, and customer value Build clear dashboards and reports for leadership Work with teams across the company to answer key questions Take initiative, communicate clearly, and dig into data to solve problems Try new methods and tools to keep improving the company's GTM approach Qualifications: 5+ years related industry experience working with data and supporting business teams. Solid experience analyzing GTM or revenue-related data Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.) Comfortable owning data workflows-from cleaning and modeling to presenting insights. Able to work independently, prioritize well, and move projects forward without much direction Clear thinker and communicator who can turn data into actionable recommendations Adaptable and willing to learn new methods in a fast-paced environment About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* How We Work: We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills. Responsibilities Investigate and Analyze data anomalies and data issues reported by Business Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations Assist in break fix and production validation as it relates to data derivations, replication and structures Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage Gather information from various Sources and interpret Patterns and Trends Ability to work in a team-oriented, fast-paced agile environment managing multiple priorities Qualifications 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases 4+ years of experience working with Exadata and SQL Server databases 4+ years in a Data Analyst role Strong attention to Detail 2+ years writing medium to complex stored procedures a plus Ability to collaborate effectively and work as part of a team Extensive background in writing complex queries Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking Good Communication skills Self-Motivated Works well in a team environment Denodo Experience a plus Master Data Management a plus Big Data Experience a plus (Hadoop, MongoDB) Postgres and Cloud Experience a plus

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.

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.

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

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!

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.

Role: Data Governance Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills • Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. • 2 - 5 years of Data Quality Management experience. • Intermediate competency in SQL & Python or related programming language. • Strong familiarity with data architecture and/or data modeling concepts • 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities • Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. • Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. • Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. • Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. • Collaborate with and influence product managers to ensure all new use cases are managed according to policies. • Influence and contribute to strategic improvements to data assessment processes and analytical tools. • Responsible for monitoring data quality issues, communicating issues, and driving resolution. • Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. • Subject matter expertise on multiple platforms. • Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any • Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. • Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. • Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way. Interested candidates please do share me your updated resume to ******************* Salary Range - $100,000 to $120,000 per 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. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions. By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes. Together with our 170+ partners, we've originated over $17 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets. We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance. About the Role At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, powering decisions from risk modeling and capital allocation to growth strategy. As a Principal Data Analyst, you will be a cornerstone of our analytics organization, partnering closely with Credit/Risk and Capital Markets to drive real financial outcomes. Your work will directly influence lending decisions, portfolio optimization, and the strategies behind our capital markets platform. You will connect analysis to the bigger picture across markets, products, and mission, combining analytical rigor with business intuition to help leaders understand what is happening and why it matters. You will also elevate our toolkit by building intuitive Tableau dashboards, writing performant BigQuery SQL, and designing frameworks that make insights repeatable and scalable across the company. What You'll Do Act as the analytics lead for Credit/Risk and Capital Markets, guiding decision-making through data-driven insights. Partner with cross-functional leaders to shape the questions that matter most, then answer them through thoughtful analysis and storytelling. Design and maintain robust Tableau dashboards that translate data into actionable narratives. Write and optimize BigQuery SQL to extract, transform, and analyze large-scale datasets. Develop analytical frameworks and models that support risk forecasting, pricing strategies, and portfolio performance. Apply statistical and experimental methods to test hypotheses, quantify uncertainty, and inform strategic trade-offs. Communicate findings clearly and persuasively to senior stakeholders. Champion a culture of data accuracy, curiosity, and continuous improvement. What We Look For 7+ years of experience using data to drive measurable business impact. Deep proficiency in SQL (preferably BigQuery) and expertise with complex joins, subqueries, and recursive logic. Advanced experience with Tableau; you know how to build dashboards that influence decisions, not just report them. Strong understanding of risk modeling, credit analytics, or capital markets data structures. Proven experience in fintech or financial services environments. Working knowledge of Python for data manipulation, automation, or modeling. Appreciation for statistical concepts like causal inference, bias detection, and experimental design. Clear, confident communication with both technical and non-technical audiences. Comfort navigating ambiguity and setting analytical direction in fast-moving environments. A natural curiosity about how finance, technology, and data intersect to drive innovation. Bonus Points Experience supporting product analytics or growth initiatives. A passion for problem-solving; you can't resist finding out why a metric behaves the way it does. You embrace learning from mistakes and are energized by challenges that don't have an obvious answer. Salary Compensation Range: $158,400-$198,000/yr 25% annual bonus target, paid quarterly Equity stock options package This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs Benefits Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans Company HSA, FSA, Dependent Care, 401k, and commuter benefits Employer-funded life and disability insurance coverage 11 Observed Holidays & PTO plan Up to 12 weeks paid family leave Continuing education reimbursement Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice. Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. #LI-MM1 #LI-Hybrid

Must Have Technical/Functional Skills * 5 + years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. Financial Domain knowledge is plus. * Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 . * Should have knowledge of SSIS ETL packages and need to analyze existing business logic and convert them into modern ELT approach. * Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc * Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . * Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc) * Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 * Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and DataGovernance team on a daily basis to analyze requirements, design, development and deployment technical solutions. * Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses * Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, DataDictionary, Data Mapping, Data Policy, and Data Governance. * Need to have at least 2 hours overlap with Pacific Timings to interact with Onsite team and to attend daily standup meetings . Roles & Responsibilities * Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 . * Should have knowledge of SSIS ETL packages and need to analyze existing business logic and convert them into modern ELT approach. * Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc * Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . * Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc) Salary Range- $100,000-$130,000 a year

PENNYMAC Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U. S. mortgage loans and the management of investments related to the U. S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day We're looking for an Enterprise Lead Data Modeler to guide the design and governance of our unified enterprise data model. In this senior role, you'll act as the primary subject matter expert (SME) in the Mortgage Industry Standards Maintenance Organization (MISMO). You'll be instrumental in shaping our data architecture, ensuring it serves as the single source of truth for critical data across the company, encompassing mortgage, servicing, sales, and workflow data. This is a unique opportunity to lead the core data foundation for our enterprise data platform. The Enterprise Lead Data Modeler will: Data Modeling & Design Leadership: Lead the end-to-end design and extension of our MISMO-compliant JSON schemas. Define new data structures, relationships, and attributes to serve as the canonical representation of data across the organization. You'll guide the translation of these nested schemas into an optimal relational data model. Architectural Guidance: Provide architectural leadership on data modeling best practices. Ensure the unified data model supports data exchange between systems and establishes clear data contracts, while also optimizing data for analytics consumption. Your work will maintain data integrity and scalability across all business domains, including mortgage origination, loan servicing, sales, and marketing. Data Model Management: Manage the technical implementation of the data model, including the JSON schema definitions and automated documentation built around the schemas. Define and implement systems that manage versioning and compatibility between different schema versions. MISMO & Canonical Expertise: Act as the organization's primary SME for MISMO standards. You'll guide the team on best practices for incorporating MISMO, ensuring our model remains the authoritative source of truth for mortgage-related data, while also integrating other critical business domains. Collaboration & Governance: Partner with data engineers, architects, and business stakeholders to align the data model with strategic business goals. You'll work closely with data governance teams to enforce standards, maintain data quality, and ensure the model remains the authoritative enterprise-wide standard. Documentation & Mentorship: Create and maintain comprehensive documentation for the data model, including data dictionaries and schema definitions. You'll also mentor other data professionals, fostering a strong data-driven culture. What You'll Bring Proven experience in enterprise data modeling and database design. Experience designing and leading the implementation of a unified or canonical data model is required. Deep, hands-on expertise with MISMO standards, specifically with its logical data model and XML/JSON schema structures. Knowledge of the mortgage industry is a must. Proficient with data modeling tools and concepts. Expertise with JSON, SQL, and data architecture principles is critical. Experience with scripting languages such as Python or JavaScript/TypeScript is also necessary. Excellent communication, collaboration, and leadership skills. Ability to translate complex technical concepts for non-technical stakeholders and influence key decisions. Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships To learn more about our benefits visit: ********************* page. link/benefits For residents with state required benefit information, additional information can be found at: ************ pennymac. com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range - Building skills and experience in the role Mid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. #TPO Salary $140,000 - $175,000 Work Model OFFICE

Titan is an award-winning wealth manager with a mission to increase our generation's compound growth rate. We plan to do this by putting a human wealth advisor in every pocket. Historically, wealth managers have been accessible to only the ultra-wealthy. With Titan, they're available to everyone. We harness frontier technologies like artificial intelligence to build a platform that gives advisors superpowers, enabling them to serve clients they historically never could. Backed by a16z, General Catalyst, Sam Altman, and many others, we manage over $1 billion in assets for clients across the country. Why Join Titan For the right person, we believe Titan will be one of the most rewarding jobs they ever have. Ambitious Vision: When we put private wealth management in every pocket, we'll make a legacy-defining impact in growing our generation's wealth to new heights. Critical Why Now: The advent of LLMs unlocks our vision to democratize personalized wealth management for everyone. This drives our urgency every day. Disproportionate Impact: We're still at the beginning of our journey with a small team, which means your impact at Titan will disproportionately matter. Vibrant In-Person Culture: We thrive on being a high-touch team, working together in the trenches in person (you'll see our founders in office every day). Compensation: Titan offers competitive cash compensation and well-above-market equity packages because we want every team member to be an owner. World-Class Investors: We're backed by top investors who share our bold vision, including a16z, General Catalyst, Y Combinator, and Sam Altman. Role Overview The Data Analyst role sits at the heart of how we make decisions, measure progress, and uncover opportunity. Your mission is to transform raw data into clarity, building the systems, tools, and insights that guide strategy across the business. This isn't just about dashboards or reports, it's about architecting the flow of information that fuels every team, from Product to Finance. You'll design and maintain the pipelines and models that power our analytics stack, ensuring our data is not only accurate and accessible, but deeply actionable. You'll operate at the intersection of engineering precision and business intuition: comfortable writing complex SQL one moment, then distilling findings into a clear narrative for leadership the next. You'll push the organization toward a truly data-driven culture, one where insights are timely, trusted, and tied to real impact. What You'll Do Design and maintain ETL workflows that move and transform data between multiple systems to power business intelligence dashboards. Work extensively with Redshift to model and optimize data structures for reporting and analytics. Translate and work with NoSQL data sources, ensuring smooth integration with other data platforms. Build, automate, and monitor data pipelines using tools like Fivetran, Hightouch, Segment, and Stitch. Collaborate with business teams - including Finance, Product, and Operations - to identify data needs and transform business questions into analytical solutions. Support financial reporting and analytics by applying your understanding of accounting and finance-related concepts. Create and maintain dashboards in tools such as Omni, Mode, and Mixpanel, ensuring teams have accurate and timely visibility into KPIs. Partner with engineering to ensure data consistency, documentation, and governance across systems. Advocate for and contribute to the development of a data-driven organizational culture. Qualifications Must come from a startup, fintech, or similarly fast-paced, high-growth environment. Strong proficiency in SQL, with a deep understanding of data modeling, query optimization, and performance tuning in Redshift. Experience designing and maintaining ETL workflows that connect multiple data sources and ensure data integrity. Comfortable working with NoSQL data and integrating it into analytics pipelines. Familiarity with AWS ecosystem services and best practices for data storage, transformation, and access. Scripting experience (e.g., Python, SQL scripts) and familiarity with version control (e.g., Git). Skilled at working with cross-functional teams to identify business opportunities and deliver measurable impact. Experience analyzing and visualizing finance and accounting data preferred. Strong communication and data storytelling skills - able to make complex analyses clear and actionable. Technologies We Use Redshift • Omni • Mode • Fivetran • Hightouch • Zapier • Segment • Stitch • Fullstory • Mixpanel

Note- Business and Data analyst with experience in DynamoDB We are seeking an experienced Business Analyst / Data Analyst to support the development of a centralized, unified data platform that delivers a consistent and comprehensive customer view across the organization. The ideal candidate will have strong analytical skills with a solid understanding of data processes, business context, and hands-on expertise with AWS services-particularly DynamoDB. This role requires approximately 70% Data Analyst and 30% Business Analyst responsibilities and will be based onsite in Miami, FL. Job Description: Build a Centralized data platform - unified data platform for customer across organization DA/BA should understand data process, business context (70% data, 30% BA) Good understanding skills in AWS Services, Storage, Dynamo db and Lambda Mulesoft is used integration layer Consistent definition of the customer that can be leveraged for multiple consumption like reporting, GenAI use cases Capture data points across customer journey DynamoDB is used to enable fast retrieval, ingestion, accommodate multiple schema Mulesoft connectors directly accessed through DynamoDB

CrossCountry Mortgage (CCM) is the nation's number one distributed retail mortgage lender with more than 7,000 employees operating over 700 branches and servicing loans across all 50 states, D.C. and Puerto Rico. Our company has been recognized ten times on the Inc. 5000 list of America's fastest-growing private businesses and has received many awards for our standout culture. A culture where you can grow! CCM has created an exceptional culture driving employee engagement, exceeding employee expectations, and directly impacting company success. At our core, our entrepreneurial spirit empowers every employee to be who they are to help us move forward together. You'll get unwavering support from all departments and total transparency from the top down. CCM offers eligible employees a competitive compensation plan and a robust benefits package, including medical, dental, vision, as well as a 401K. We also offer company-provided short-term disability, an employee assistance program, and a wellness program. Position Overview: The Business Analyst - Data Operations is responsible for developing requirements, business processes, and documentation to support data initiatives, including data warehousing, ETL, analysis, data quality, and governance services. This role assists internal customers in understanding data tools and assets, while also defining business processes and requirements. The Business Analyst - Data Operations works closely with vendors, various internal business partners, data engineering, and analytics teams to improve data services and business processes related to loan servicing and portfolio management. Job Responsibilities: * Partner with internal customers to understand business needs and opportunities and convert them to technical requirements for data engineers. * Work directly with vendors and partners on data integration projects. * Develop process maps and drive continuous process improvements. * Help develop data models and integration flows for various CM partner channels. * Support roll-out and maintenance of data governance services, including data glossaries, business rules, stewardship, semantic models, etc. * Support roll-out of data security, privacy, and compliance initiatives. * Participate in projects and troubleshooting to improve various aspects of data quality (uniqueness, integrity, accuracy, consistency, and completeness). * Coach business users in support of best practices. * Support process monitoring and analysis. * Develop analysis and automation tools for business users. Qualifications and Skills: * Bachelor's degree in Business, Information Technology, Information Systems, or a related field, or equivalent work experience. * Experience in business analysis within technology settings, covering process mapping, requirements gathering, work planning, and collaborative brainstorming. * Experience running meetings and facilitating projects. * Excellent prioritization and problem-solving skills. * Excellent customer service and communication skills. * Skilled in building relationships and influencing others. * Skilled in presenting technical ideas in business-friendly language. * Skilled in working independently and taking initiative. This is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. CrossCountry Mortgage, LLC offers MORE than a job, we offer a career. Apply now to begin your path to success! careersatccm.com CrossCountry Mortgage, LLC strives to provide employees with a robust benefit package: ********************************** California residents: Please see CrossCountry's privacy statement for information about how CrossCountry collects and uses personal information about California applicants. CrossCountry Mortgage supports equal employment opportunity in hiring, development and advancement for all qualified persons without regard to race, color, religion, religious creed, national origin, age, physical or mental disability, ancestry, marital status, uniformed service, covered veteran status, citizenship status, sex (including pregnancy, childbirth, and related medical conditions, and lactation), sexual orientation, gender identity, gender expression, transgender status, domestic violence victim status (where applicable), protected hair style or texture, genetic information (testing or characteristics), or any other protected status of an individual or because of the individual's association with a member of a protected group or any other characteristic protected by federal, state, or local law ("Protected Characteristics"). The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our culture, but our reputation. The Company is committed to fostering, cultivating and preserving a culture that welcomes diversity and inclusion. CrossCountry Mortgage, LLC (NMLS3029) is an FHA Approved Lending Institution and is not acting on behalf of or at the direction of HUD/FHA or the Federal government. To verify licensing, please visit ***************************

CrossCountry Mortgage (CCM) is the nation's number one distributed retail mortgage lender with more than 7,000 employees operating over 700 branches and servicing loans across all 50 states, D.C. and Puerto Rico. Our company has been recognized ten times on the Inc. 5000 list of America's fastest-growing private businesses and has received many awards for our standout culture. A culture where you can grow! CCM has created an exceptional culture driving employee engagement, exceeding employee expectations, and directly impacting company success. At our core, our entrepreneurial spirit empowers every employee to be who they are to help us move forward together. You'll get unwavering support from all departments and total transparency from the top down. CCM offers eligible employees a competitive compensation plan and a robust benefits package, including medical, dental, vision, as well as a 401K. We also offer company-provided short-term disability, an employee assistance program, and a wellness program. Position Overview: The Business Analyst - Data Operations is responsible for developing requirements, business processes, and documentation to support data initiatives, including data warehousing, ETL, analysis, data quality, and governance services. This role assists internal customers in understanding data tools and assets, while also defining business processes and requirements. The Business Analyst - Data Operations works closely with vendors, various internal business partners, data engineering, and analytics teams to improve data services and business processes related to loan servicing and portfolio management. Job Responsibilities: • Partner with internal customers to understand business needs and opportunities and convert them to technical requirements for data engineers. • Work directly with vendors and partners on data integration projects. • Develop process maps and drive continuous process improvements. • Help develop data models and integration flows for various CM partner channels. • Support roll-out and maintenance of data governance services, including data glossaries, business rules, stewardship, semantic models, etc. • Support roll-out of data security, privacy, and compliance initiatives. • Participate in projects and troubleshooting to improve various aspects of data quality (uniqueness, integrity, accuracy, consistency, and completeness). • Coach business users in support of best practices. • Support process monitoring and analysis. • Develop analysis and automation tools for business users. Qualifications and Skills: • Bachelor's degree in Business, Information Technology, Information Systems, or a related field, or equivalent work experience. • Experience in business analysis within technology settings, covering process mapping, requirements gathering, work planning, and collaborative brainstorming. • Experience running meetings and facilitating projects. • Excellent prioritization and problem-solving skills. • Excellent customer service and communication skills. • Skilled in building relationships and influencing others. • Skilled in presenting technical ideas in business-friendly language. • Skilled in working independently and taking initiative. This is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. CrossCountry Mortgage, LLC offers MORE than a job, we offer a career. Apply now to begin your path to success! careersatccm.com CrossCountry Mortgage, LLC strives to provide employees with a robust benefit package: ********************************** California residents: Please see CrossCountry's privacy statement for information about how CrossCountry collects and uses personal information about California applicants. CrossCountry Mortgage supports equal employment opportunity in hiring, development and advancement for all qualified persons without regard to race, color, religion, religious creed, national origin, age, physical or mental disability, ancestry, marital status, uniformed service, covered veteran status, citizenship status, sex (including pregnancy, childbirth, and related medical conditions, and lactation), sexual orientation, gender identity, gender expression, transgender status, domestic violence victim status (where applicable), protected hair style or texture, genetic information (testing or characteristics), or any other protected status of an individual or because of the individual's association with a member of a protected group or any other characteristic protected by federal, state, or local law (“Protected Characteristics”). The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our culture, but our reputation. The Company is committed to fostering, cultivating and preserving a culture that welcomes diversity and inclusion. CrossCountry Mortgage, LLC (NMLS3029) is an FHA Approved Lending Institution and is not acting on behalf of or at the direction of HUD/FHA or the Federal government. To verify licensing, please visit ***************************