Data Engineer jobs at Federal National Mortgage Association - 2328 jobs

A financial services company in San Francisco seeks a Distinguished Data Engineer to lead innovation in data architecture and management. The role involves building critical data solutions, mentoring teams, and leveraging cloud technologies like AWS. Ideal candidates will have significant experience in data engineering, a Bachelor's degree, and proficiency in modern data practices to drive customer value through analytics and automation. #J-18808-Ljbffr

A global investment management firm is seeking a Lead Market Data Services to drive effective market data solutions in Boston, MA. The role requires deep expertise in market data management and vendor negotiation. The ideal candidate will oversee market data programs, manage vendor relationships, and ensure compliance. With a focus on operational excellence, this position offers a salary range of $90,000 - $180,000 and supports a hybrid work environment. #J-18808-Ljbffr

A leading financial services company seeks a Data Scientist to leverage advanced analytics and machine learning techniques. The role demands a strong background in Python, AWS, and statistical modeling, requiring a bachelor's degree in a quantitative field and relevant experience in data analytics. The candidate will work cross-functionally to translate complex data into actionable insights for customers. A competitive benefits package is offered. #J-18808-Ljbffr

A prominent financial services company located in McLean is seeking a Principal Associate, Data Scientist for the LLM Customization Team. The ideal candidate will leverage cutting-edge machine learning technologies to enhance customer interactions and financial analytics. Candidates should possess a strong background in data science, experience with NLP, machine learning, and programming in Python, SQL, and AWS. This role offers competitive salaries and benefits, driving innovation within a dynamic team environment. #J-18808-Ljbffr

A leading financial services company in McLean, Virginia, is seeking an experienced data analyst to develop machine learning models and partner with cross-functional teams. The ideal candidate has a Bachelor's Degree in a quantitative field and at least 5 years of relevant experience, with strong proficiency in Python, SQL, and AWS. Responsibilities include leveraging technology to derive insights from data and staying current with industry advancements. This role offers a comprehensive benefits package and a supportive work environment. #J-18808-Ljbffr

A leading financial services company is seeking a Distinguished Data Engineer to join their Credit Card Technology Data Engineering Team in San Francisco, California. This role is essential for managing a vast array of data critical to fraud detection and compliance. Ideal candidates will possess extensive experience in data engineering and architecture, with proficiency in AWS and programming languages such as Python and SQL. The position requires innovative thinking to advance technology solutions that enhance customer experiences. #J-18808-Ljbffr

A leading financial institution is seeking a Director in Enterprise Data Risk Management in McLean, VA. You will leverage your risk management and data expertise in providing oversight and advisory services across the enterprise. This individual contributor role involves collaborating with various stakeholders to enhance data risk identification and mitigation processes. You are expected to have at least 7 years in data governance and 5 years in risk management. The salary range for this position is $206,000 to $235,100, alongside performance-based incentives and comprehensive benefits. #J-18808-Ljbffr

At Truth Systems, we're building the only trust and safety software any organization will ever need. A protection layer for every individual. We're laying that foundation with AI Governance. Our product Charter is an agent that monitors and flags misuse of AI in line with firm policies and client rules in real time. We're building always-on, real-time systems that keep people safe and organizations compliant without slowing down their work. We are: Small and well-funded. We've raised $4M from world-class investors like Gradient Ventures, Lightspeed, The Legaltech Fund, Y Combinator, and Pear VC. We are currently a team of 4. We are hiring thoughtfully, with ~3 people in the next 6 months. Intensely trustful + high ownership. We optimize for impact per person by requiring high ownership from each team member. We hire experts, ambitious problem-solvers, and generally unstoppable people, and we place a lot of trust in them. We prefer short (or no) meetings, full autonomy, and individualized schedules. Your Mission Over the next 12-18 months, you will embed with customers to help firms navigate and uncover risk surfaces within their organizations. This role blends engineering and customer empathy. You'll work directly with clients to understand workflows, translate them into software, and ensure successful adoption. Outcomes Customer integrations from 0 → 1. Lead deployments of our agents and backend systems in live customer environments. Deliver reliable, secure, and fast integrations. Feedback-driven development. Translate client insights into product improvements and new features. Influence our roadmap through real-world usage. Customer Partnership: Collaborate deeply with clients to identify their pain points, propose solutions, and deliver measurable value. Travel for Deployment and Collaboration: Travel to meet customers across the U.S. (e.g., NYC, Atlanta, Chicago, Seattle, Ohio, and more) for implementations, feedback sessions, and training. Competencies Technical and hands-on: You've spent 1+ years building real products in production - shipping code, wrestling with weird APIs, and making things work in messy, real-world stacks. Full-stack curious: You're fluent in TypeScript/JavaScript (React or Next.js for lightweight UIs) and comfortable with at least one backend language like Python for integrations and automations. Deeply empathetic (must be): Both our team and our customers require empathetic and low-ego people. Some of our users' careers depend on our product being ‘right', so trusting and listening to them is our most important skill. Independent and process building (must be): We don't have a lot of structure. You'll build many processes and set standards yourself, and everyone we hire after you will follow them. Adventurous: You're comfortable with the unknown, love building new experiences, and don't mind travel when it helps you get closer to the problem. Our team's roots span 4+ continents - we like working (and learning) with people from everywhere. Why Join Truth Systems Autonomy: You'll have full ownership of what you build. We trust you to make the right calls, set your own pace, and push projects from idea to production without red tape. Output-focused, not input-focused: We care about impact, not hours. Now that is not to say there will not be days when hours don't get long, but you'll be judged by what you deliver and how it moves the needle - not how long you sit in front of a screen. Cutting-edge meets meaningful: You'll be working at the edge of AI - designing systems that redefine how humans interact with intelligence. At Truth Systems, we care deeply about helping knowledge workers trust AI and move them toward safer, more responsible, and transparent use. Logistics Salary: $170K-$250K Equity: 0.3-1% Location: In-person in San Francisco, with regular travel to customer sites across the U.S. Perks: Meals, housing/relocation, equipment, and benefits included Work Authorization: We cannot sponsor visas at this time #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production‑grade applications used by millions of users across multiple lines of businesses. In this role, you will Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi‑tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows: you will evaluate agentic frameworks such as LangGraph, AutoGen, Semantic Kernel, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs so that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end‑to‑end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content‑filter hooks, red‑team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross‑organization architects to drive end‑to‑end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per‑token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto‑scale agents to hit tenant SLAs. Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies. At least 8 years of experience programming with Python, Go, Scala, or Java. Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen). 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning). 8+ years of experience designing mission‑critical machine learning platforms. 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level. Experience developing AI and ML algorithms or technologies (e.g. LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang. Master's degree in Computer Science, Computer Engineering, or relevant technical field. Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Experience leading GenAI or LLM‑Powered application architectures in production. Deep understanding of Responsible AI, data privacy and multi‑tenant security patterns. Experience as a Staff‑plus or Distinguished IC engineer influencing 50+ engineers and C‑suite stakeholders. K8s mastery (multi‑region clusters, service mesh). Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI 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 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). #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Salaries (San Francisco, CA) $287,800 - $328,500 Salaries (San Jose, CA) $287,800 - $328,500 Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. 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. Recruiting Contact RecruitingAccommodation@capitalone.com #J-18808-Ljbffr

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

Figure is an AI Robotics company developing a general-purpose humanoid. Our humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA, and require 5 days/week in-office collaboration. It's time to build. We are looking for an experienced Senior Data Engineer to develop and optimize our data processing infrastructure and tools, enabling deep insights from robotic system logs.In this role you will transform robot logs and other sources of data to extract information, identify patterns, provide access to the data and visualization tools. Your work will help ensure that the robot is operating reliably at maximum performance, and inform engineering design trades and decisions. Responsibilities: Develop and maintain pipelines and tools to transform robot logs to make it easier to access, visualize, and automatically detect events of interest. Optimize data processing to reduce the time needed between data offload and the availability of the data to our engineering teams. Design and optimize data storage solutions for handling complex, high-volume time-series and structured data. Build and maintain database schemas and queries to support analytics and visualization of extracted patterns. Support mechanical, electrical, software, integration and test engineers with their needs to extract and visualize data. Develop dashboards and custom data visualizations tools to enable engineers to quickly extract information from the data and track robot performance. Integrate your solutions with existing data pipelines and our robot testing framework. Requirements: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, preferably with time-series or log data processing. Proficiency in Python with experience in Pandas, Polars, or PySpark for large-scale data processing. Strong understanding of database design, indexing, and query optimization (SQL and NoSQL). Experience handling complex data formats such as Parquet, MCAP, or protobuf. Experience building custom web based data visualization tools (JavaScript, React…) Familiarity with data visualization tools like Grafana for real-time analysis and monitoring. Experience with distributed computing frameworks and cloud-based data storage solutions. Strong debugging skills and ability to work with lab teams to interpret robotic system logs. Bonus Qualifications: Experience with CI/CD pipelines for automated data processing. Knowledge of robotics or embedded system logging frameworks. Familiarity with real-time data streaming and event-driven architectures. The US base salary range for this full-time position is between $140,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration. We're looking for a Staff Data Engineer to own the design, scalability, and reliability of our data platform powering fleet analytics, regression detection, and release validation across Figure's humanoid robot fleet. This role blends elements of Data Engineering, Data Architecture, and Data Science. This role is ideal for someone who has built large-scale telemetry or platform data systems for domains like EVs, autonomous driving, or robotics fleets. You'll serve as the technical anchor for the robot data platform, ensuring robot platform data is accurate, accessible, and actionable across the entire engineering organization. This is a hands-on individual-contributor role with direct influence over the software and hardware decisions shaping the next generation of humanoid robots. If you're a hardcore data engineer who thrives on solving complex, cross-disciplinary problems - join us and help define the data backbone for Humanoid robots. Key Responsibilities: Architect and evolve Figure's end-to-end platform data pipeline - from robot telemetry ingestion to warehouse transformation and visualization. Improve and maintain existing ETL/ELT pipelines for scalability, reliability, and observability. Detect and mitigate data regressions, schema drift, and missing data via validation and anomaly-detection frameworks. Identify and close gaps in data coverage, ensuring high-fidelity metrics coverage across releases and subsystems. Define the tech stack and architecture for the next generation of our data warehouse, transformation framework, and monitoring layer. Collaborate with robotics domain experts (controls, perception, Guardian, fall-prevention) to turn raw telemetry into structured metrics that drive engineering/business decisions Partner with fleet management, operators, and leadership to design and communicate fleet-level KPIs, trends, and regressions in clear, actionable ways. Enable self-service access to clean, documented datasets for engineers Develop tools and interfaces that make fleet data accessible and explorable for engineers without deep data backgrounds Requirements: Experience owning or architecting large-scale data platforms - ideally in EV, autonomous driving, or robotics fleet environments, where telemetry, sensor data, and system metrics are core to product decisions. Deep expertise in data engineering and architecture (data modeling, ETL orchestration, schema design, transformation frameworks). Strong foundation in Python, SQL, and modern data stacks (dbt, Airflow, Kafka, Spark, BigQuery, ClickHouse, or Snowflake). Experience building data quality, validation, and observability systems to detect regressions, schema drift, and missing data. Excellent communication skills - able to understand technical needs from domain experts (controls, perception, operations) and translate complex data patterns into clear, actionable insights for engineers and leadership. First-principles understanding of electrical and mechanical systems, including motors, actuators, encoders, and control loops. The US base salary range for this full-time position is between $150,000 and $250,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Salary Range The salary range for this position is $98,400 - $199,000 per year. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. We are currently seeking a Cloud Data Engineer Lead which requires a high-level professional that is responsible for designing, developing, and maintaining the data architecture in our organization. This role is responsible for overseeing the technical aspects of data management, including data integration, processing, storage, and retrieval. The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data product development, and data governance patterns to ensure the timeliness and quality of data. The role is responsible for ensuring that data is accurate, reliable, and available to Analysts, Data Scientists, and other stakeholders within our organization. Our Data Engineering teams work in a highly collaborative environments, engage in daily standups, operate within Agile development practices, and participate in a GitOps development model in that everything is code. We are an in-office working environment. For this role we are considering the following locations; Evansville IN, Chicago at 8750 W. Bryn Mawr (near Rosemont and the Cumberland Blue Line station), Lake Elmo MN, St. Paul MN, Minneapolis MN, and St. Louis Park MN. Key Accountabilities Key Accountability 1: Data Engineering and Architecture Strategic Leadership Provide direction for the organization's data engineering and architecture strategy. Make final decisions on data infrastructure design and tool selection, balancing business needs with technical feasibility. Collaborate on requirements gathering while owning the architectural vision and execution. Champion data management best practices across the organization. Key Accountability 2: Engineering Execution and Technical Implementation Write production-quality code and implement scalable ETL pipelines using tools like AWS, S3, Glue, Lambda, and Databricks. Apply business intelligence best practices such as dimensional modeling and distributed data processing. Design, build, and maintain modern cloud-based data platforms to support enterprise data needs including integrations, analytics, and AI. Key Accountability 3: Team Development and Cross-Functional Collaboration Bootstrap and grow the data engineering team, setting standards and mentoring new members. Translate business requirements into technical solutions, ensuring alignment with broader organizational goals. Enable data-driven decision-making by delivering reliable analytics pipelines and insights. Key Competencies for Position - Promotes Change - Actively seeks information to understand the rationale, implications, and impact for changes. Remains agile by quickly modifying daily behavior, leveraging resources, and trying new approaches to effectively embrace change. Willing to act quickly, learn and adjust as needed. Identifies and recommends changes to leadership to improve performance. Aligns activities to meet individual, team and organizational goals Strategy in Action - Breaks down larger goals into smaller achievable goals and communicates how they are contributing to the broader goal. Actively seeks to understand factors and trends that may influence role. Anticipates risks and develops contingency plans to manage risks. Identifies opportunities for improvement and seeks insights from other sources to generate potential solutions. Aligns activities to meet individual, team and organizational goals. Compelling Communication - Effectively and transparently shares information and ideas with others. Tailors the delivery of communication in a way that engages the audience and that is easy to understand and retain. Unites others towards common goal. Asks for others' opinions and ideas and listens actively to gain their support when clarifying expectations, agreeing on a solution and checking for satisfaction. Makes Decisions & Solves Problems - Takes ownership of the problem while collaborating with others on a resolution with an appropriate level of urgency. Collaborates and seeks to understand the root causes of problems. Evaluates the implications of new information or events and recommends solutions using decisions that are sound based on what is known at the time. Takes action that is consistent with available facts, constraints and probable consequences. Qualifications and Education Requirements BS. degree in a related field and 7 to 9 years professional experience OR a total of 7 plus years' experience as Senior Data Engineer, Senior Software Engineer, or equivalent. 5 plus years working in AWS Cloud (AWS Solution Architect Certification is a plus) and hybrid cloud environments. 7 plus years working with data warehouse platforms. Coding experience in SQL and scripting languages such as Python and Bash and expert working knowledge of the Spark platform, preferably in a cloud data platform environment such as Databricks. Experience working with large and complex data sets with multi-terabyte scale is a plus. Knowledge of Agile and GitOps methodologies Banking experience / knowledge is a plus Ability to communicate effectively, both orally and in writing, with clients and groups of employees to build and maintain positive relationships Strong leadership and communication skills. You must be able to collaborate with other teams, effectively manage projects, and communicate technical information to non-technical stakeholders. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team! We can recommend jobs specifically for you! Click here to get started. If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary The GoodLeap team is looking for a hands-on Data Engineer with a strong background in API data integrations, Spark processing and data lake development. The focus of this role will be on ingesting production energy data and helping get the aggregated metrics to the many teams in GoodLeap that need them. The successful candidate is a highly motivated individual with strong technical skills to create secure and performant data pipelines as well as support our foundational enterprise data warehouse. The ideal candidate is passionate about quality and has a bold, visionary approach to data practices in a modern finance enterprise. The candidate in this role will be required to work closely with cross-functional teams to effectively coordinate the complex interdependencies inherent in the applications. Typical teams we collaborate with are Analytics & Reporting, Origination Platform engineers and AI developers. We are looking for a hardworking and passionate engineer who wants to make a difference with the tools they develop. Essential Job Duties and Responsibilities Implement data integrations across the organization as well as with business applications Develop and maintain data oriented web applications with scalable web services Participate in the design and development of projects, either independently or in a team Utilize agile software development lifecycle and DevOps principles Be the data stewards of the organization upholding quality and availability standards for our downstream consumers Be self-sufficient and fully own the responsibility of executing projects from inception to delivery Provide mentorship to team members including pair programming and skills development Participate in data design and architecture discussions, considering solutions in the context of the larger GoodLeap ecosystem Required Skills, Knowledge & Abilities 6-10 years of full-time Data Analysis and/or Software Development experience Experience with an end to end reporting & analytics technology: data warehousing (SQL, NoSQL) to BI/Visualization (Tableau, PowerBI, Excel) Degree in Computer Science or related discipline Experience with DataBricks/Spark processing Expertise with relational databases (including functional SQL/stored procedures) and non-relational databases (MongoDB, DynamoDB, Elastic Search) Experience with orchestrating data pipelines with modern tools such as Airflow Strong knowledge and hands-on experience with open source web frameworks (e.g. Vue /React) Solid understanding of performance implications and scalability of code Experience with Amazon Web Services (IAM, Cognito, EC2, S3, RDS, Cloud Formation) Experience with messaging paradigms and serverless technologies (Lambda, SQS, SNS, SES) Experience working with server-less applications on public clouds (e.g. AWS) Experience with large, complex codebases and know how to maintain them Additional Information Regarding Job Duties and s: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.

The Data Analytics and Reporting team at NFFG develops scalable analytics solutions that support investment strategy, member engagement, and business performance. This role involves building predictive models and applying mathematical optimization to improve targeting and decision-making. Responsibilities also include automating data pipelines and workflows, developing interactive dashboards, and producing recurring reports that deliver clear, actionable insights. Success in this role requires strong technical skills, business understanding, and the ability to communicate analytical findings effectively across teams Responsibilities Develop and deploy predictive models (classification, regression, clustering, time series) to support investment behavior analysis and member targeting. Automate data pipelines and modeling workflows for scalable deployment across data channels. Develop interactive dashboards to visualize key trends and model insights Apply mathematical optimization to improve portfolio strategy, and campaign effectiveness. Conduct deep-dive analyses on member behavior, transactions, and product adoption to guide data-driven decisions. Collaborate with cross-functional teams to align analytics with business objectives. Present findings clearly to technical and non-technical audiences Model monitoring and documentation Qualifications 2-3 years of experience with requisite competencies Proficient in Python, SQL, PySpark, Power BI (or Tableau) Hands-on experience with statistics, machine learning, time series forecasting, and mathematical optimization Strong communication, collaboration and presentation and problem-solving skills Experience with cloud platforms (e.g., Azure Databricks) Research skills Independent judgment Data storytelling and technical presentation skills Problem solving and critical thinking Bachelor's Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields Desired Qualifications Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering 3+ years of experience with requisite competencies Hours: Monday - Friday, 8:00AM - 4:30PM Hybrid Location: 820 Follin Lane, Vienna, VA 22180 This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you. Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance. Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives using cutting-edge data science. Develop artificial intelligence models and insights to drive impact across the organization. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff. 6+ years of experience with requisite competencies Complete knowledge and full understanding of specialization Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization Advanced knowledge of natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries Programming, data modeling, simulation, and advanced mathematics Advanced knowledge of SQL, R, Python, Microsoft Azure, and Databricks Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Advanced knowledge of procedures, instructions and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Independent Judgment Problem Solving (Identifies the constraints and risks) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualifications: Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering Familiar with Data Integration, Data Governance and Data Warehousing Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management Hours: Available Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 Design, develop, and evaluate natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Design, develop, and evaluate large and complex predictive models and advanced algorithms Test hypotheses/models, analyze, and interpret results Develop actionable insights and recommendations Develop and code complex software programs, algorithms, and automated processes Use evaluation, judgment, and interpretation to select right course of action Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leaders Lead moderate to large projects and initiatives Model best practices and ethical AI Works with senior management on complex issues Assist with the development and enhancement practices, procedures, and instructions Serve as technical resource for other team members Mentor lower levels

About the Hiring TeamWelcome to Lightspeed LA, the first U.S.-based, AAA game development studio for Tencent Games. Lightspeed LA is focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling. We are developing the first in a series of genre-defining titles. Why join Lightspeed LA? For us, it's not only about the exciting, new AAA open world game we're developing but also about team values and studio culture. We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games. ● We encourage the showing of work that's still in progress. ● We don't attack or question unfinished work, we celebrate its promise. ● We have a No Blame Culture where we blame the problem, not the person. This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and trying new things. We create together. We face Challenges Together. We succeed together.What the Role Entails LightSpeed LA is seeking for a talented and enthusiastic senior gameplay engineer to join our new studio in sunny Irvine California. The ideal candidate will have a strong passion for games and solving ambitious technical and creative problems. Join us and help build a team and culture of mutual respect and passion that pushes boundaries while having lots of fun! Responsibilities: Design, implement, and support quality gameplay systems and tools Collaborate directly and proactively with engineers, designers, artists, and QA to explore and identify needs and opportunities Cultivate strong cross-disciplinary working relationships based on honesty and transparency Author lean, high-performance, maintainable code Actively profile and optimize the game's codebase Participate in the testing and documentation of game systems and tools Mentor, develop, and learn from colleagues Help build and maintain an open and energetic team culture Who We Look For Passion and enthusiasm for creating fun and engaging gameplay through iteration and innovation 5+ years of professional game programming experience Experience bringing a large-scale game title to completion on PC and consoles Expert in C++, debugging, and 3D math Enjoy working closely with creative and technical team members Strong written and verbal communication skills Value lean, simple, efficient, well-tested code Preferred: Experience working either AAA proprietary engines or third party engines like Unreal and Unity Experience with game console hardware Understanding of game asset pipelines Deep knowledge of animation, physics, AI, and/or networking Why Join Us? Location State(s) US-California-IrvineThe expected base pay range for this position in the location(s) listed above is $116,200.00 to $269,100.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

About the Hiring Team Welcome to Lightspeed LA, the first U.S.-based, AAA game development studio for Tencent Games. Lightspeed LA is focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling. We are developing the first in a series of genre-defining titles. Why join Lightspeed LA? For us, it's not only about the exciting, new AAA open world game we're developing but also about team values and studio culture. We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games. ● We encourage the showing of work that's still in progress. ● We don't attack or question unfinished work, we celebrate its promise. ● We have a No Blame Culture where we blame the problem, not the person. This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and trying new things. We create together. We face Challenges Together. We succeed together. What the Role Entails * Work with and lead a gameplay engineering team to craft development of innovative gameplay content systems and experiences * Work with design and production and engineering leadership to manage the gameplay schedule and backlog * Implement, debug and optimize gameplay systems in C/C++ and other languages * Author lean, high-performance, maintainable code * Cultivate strong cross-disciplinary working relationships based on honesty and transparency among various departments within the studio Leadership and Management: * Provide technical leadership across multiple gameplay systems and features * Mentor, develop, and learn from engineering colleagues * Be a leadership resource for engineers across the entire gameplay team * Help build and maintain an open and energetic team culture * Conduct regular one-on-one meetings with team members to provide guidance, feedback, and support their professional development * Participate in the recruitment and onboarding of new team members, ensuring a diverse and skilled team that aligns with project requirements * Facilitate team-building activities to promote a positive and collaborative working environment Who We Look For * Experience working in Unreal Engine * Passion and enthusiasm for creating fun and engaging gameplay through iteration and innovation * Experience bringing multiple large-scale game titles to completion on PC and consoles * 7+ years of professional game programming experience * Experience managing direct reports * Experience performing in a senior or principal software engineering role or equivalent * Ability to collaborate with other engineers, designers, artists and other game developers * Ability to work well in a fluid, changing environment as creative challenges evolve * Deep knowledge of gameplay systems involving AI, animation, physics, and character-related systems from engine to game * Expert in C++, debugging, and 3D mathematics * Enjoy working closely with creative and technical team members * Value lean, simple, efficient, well-tested code * Strong written and verbal communication skills Preferred: * Experience with game console hardware * Understanding of game asset pipelines Why Join Us? Location State(s) US-California-Irvine The expected base pay range for this position in the location(s) listed above is $116,200.00 to $343,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.