Data Engineer jobs at Navient - 964 jobs

Principal Data Scientist
Sallie Mae 4.1
Data engineer job at Navient
**When you join Sallie, you become a champion for all students.** Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. Sallie Mae's new venture, **Sallie** , is looking for people like you to be the **founding members** who will define the future of education services for students and their families in the U.S. As the first education solutions company, we're creating products and experiences that help students when they need it most - connecting them to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit **************************** to learn more about us. We are seeking a **strategic and visionary Principal Data Scientist** to lead our organization-wide data science initiatives. This role will be responsible for driving advanced analytics, machine learning, large language model (LLM), and AI initiatives while fostering a culture of **data as a product** . The ideal candidate is a seasoned, hands-on data scientist with deep technical expertise, strong product sense, and a passion for driving measurable business impact. Experience in **advertising technology (AdTech)** , **marketing analytics** , or **consumer data platforms** is a strong plus. You'll thrive in this role if you enjoy working in an **entrepreneurial, cross-functional, and fast-moving environment** , collaborating with product, engineering, marketing, and leadership to define and execute the data science vision for Sallie. **Key Responsibilities:** **Strategic Leadership** + Define and execute the data science strategy that enables SallieSM'smission to help students and families access education resources. + Serve as the data science thought leader-partnering with senior leadership toidentify, prioritize, and deliver high-impact analytical solutions. + Mentor and coach data scientists and analysts, fostering a culture of curiosity, rigor, and innovation. **Advanced Modeling & Applied Machine Learning** + Build, evaluate, and deploy advanced ML models and generative AI systems (including LLM applications) to drive customer engagement and personalization. + Develop frameworks for experimentation, causal inference, and optimization that inform product and marketing decisions. + Ensure responsible AI practices and interpretability across all modeling efforts. **Data as a Product & Platform Enablement** + Partner with engineering and product teams to design scalable data pipelines, feature stores, and analytical platforms. + Lead the evolution of data into managed products-complete with ownership, lifecycle, and measurable value delivery. + Define the architecture for model deployment, monitoring, and continuous improvement. **Business & AdTech Impact** + Translate complex analytical outputs into actionable recommendations that shape marketing strategy, customer acquisition, and retention efforts. + Partner with finance and business operations to develop forecasting and performance models. + Identifyopportunities to monetize data responsibly and ethically through new data products and partnerships. **Innovation & Thought Leadership** + Stay ahead of trends in AI,MLOps, and data monetization; drive adoption of emerging techniques across teams. + Champion data ethics, governance, and compliance standards that align with Sallie Mae's trusted brand. + Contribute to building the data-driven foundation that powers SallieSM'sgrowth and competitive edge. **Basic Qualifications:** + Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, or relatedfield. + 8+ years of experience in applied data science, machine learning, or quantitative research roles. + Provenexpertisein statistical modeling, machine learning, and experimental design. + Strong programmingproficiencyin **Python** and **SQL** , with experience in tools such as **PyTorch** , **TensorFlow** , or **Scikit-learn** . + Hands-on experience with **modern data stacks** (Snowflake, Databricks, AWS, or GCP). + Demonstrated ability to translate data insights into strategic business outcomes. **Preferred Qualifications:** + Experience in **AdTech** , **MarTech** , or **media analytics** environments. + Experience deploying and scaling **LLM** or **AI-powered** applications. + Familiarity with **financial modeling** , **forecasting** , or **marketing attribution** . + Strong publication record or contributions to open-source projects. + Passion for responsible AI, fairness, and data ethics. **Feeling your best helps you do your best:** **Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).** + Competitive base salaries + Bonus incentives + Generous PTO, Floating Holidays and 12 Federal Holidays observed + Support for financial-well-being and retirement 401k with employer match + Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more + Employer paid short-term/long-term disability and basic life insurance + Flexible hybrid working arrangements. + Paid parental leave and adoption reimbursement programs + Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) + Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives + Tuition Reimbursement and Family Scholarship Programs + Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! **Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here (******************************************************* **to view the U.S. Pay Transparency Policy,** **here (******************************************************************************************************************* **for federal job applicant notices, and** **here (************************************************************************************************** **to view the California Employee Privacy Notice.** **Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call ************** and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.** Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click **************************************************** ************************************************************************************************************************** Click ************************************************************** to view the U.S. Pay Transparency Policy.
$72k-96k yearly est. 60d+ ago

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Engineer III
Sallie Mae 4.1
Data engineer job at Navient
**When you join Sallie Mae, you become a champion for all students.** We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big. Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way. We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other. This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work. Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more. We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills. Come do more than join something, change something. For students, for future generations, for the future of education. **What You'll Contribute** An Engineer III will be responsible for developing and maintaining data delivery pipelines that support our marketing business functions. This is an individual contributor role involves designing and building end-to-end scalable systems that process marketing data, manage customer communication preferences, and ensure seamless data flow across our marketing technology stack. You'll work closely with the marketing and cross-functional teams while taking a solutions-based approach to technical challenges in our heavily regulated and agile/scrum delivery framework. **What You'll Do** + Design, code, test, and deploy robust software solutions with a focus on reliability, scalability, and maintainability. + Lead end-to-end development of data delivery pipelines that support marketing operations and customer communication management. + Develop scalable, reliable applications and pipelines that process marketing data and ensure proper data flow across platforms. + Work closely with other engineers, product managers, and designers to build features that solve real customer problems. + Contribute to and uphold high standards of code quality through code reviews, unit testing, and documentation. + Analyze and resolve technical issues across the software stack. Troubleshoot production issues and implement sustainable fixes. _The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role._ **What You Have** Minimum education, skills and experience required. + Proficiency in one or more modern programming languages (e.g., Python, Java, SQL). + Experience developing and deploying software in a production environment. + Minimum 5+ years in software engineering or related technical role. + Understanding data delivery solutions and best practices. + Solid understanding of computer science fundamentals (data structures, algorithms, object-oriented design). + Strong debugging, troubleshooting, and problem-solving skills. + Good communication skills and a collaborative attitude. Preferred education, skills, and experience. + Advanced AWS experience. + Experience with Snowflake, Adobe Experience Manager. + Previous development work supporting marketing business functions and teams. + Experience with email marketing platforms and tools. + Knowledge of data pipeline architecture and ETL processes. + Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. **The Americans with Disabilities Act** _The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function._ **Feeling your best helps you do your best:** **Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).** + Competitive base salaries + Bonus incentives + Generous PTO, Floating Holidays and 12 Federal Holidays observed + Support for financial-well-being and retirement 401k with employer match + Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more + Employer paid short-term/long-term disability and basic life insurance + Flexible hybrid working arrangements. + Paid parental leave and adoption reimbursement programs + Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) + Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives + Tuition Reimbursement and Family Scholarship Programs + Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! **Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here (******************************************************* **to view the U.S. Pay Transparency Policy,** **here (******************************************************************************************************************* **for federal job applicant notices, and** **here (************************************************************************************************** **to view the California Employee Privacy Notice.** **Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call ************** and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.** Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click **************************************************** ************************************************************************************************************************** Click ************************************************************** to view the U.S. Pay Transparency Policy.
$73k-92k yearly est. 60d+ ago
Strategic Market Data Lead | Hybrid/Remote
Wellington Management Company 4.9
Boston, MA jobs
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
$90k-180k yearly 1d ago
Principal Data Scientist: ML & Big Data for Card Products
Capital One 4.7
McLean, VA jobs
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
$69k-89k yearly est. 2d ago
LLM Customization Data Scientist - Principal Associate
Capital One National Association 4.7
McLean, VA jobs
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
$69k-89k yearly est. 5d ago
Principal Data Scientist - Model Risk & ML Innovation
Capital One 4.7
McLean, VA jobs
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
$69k-89k yearly est. 2d ago
Market Data Lead
Wellington Management Company 4.9
Boston, MA jobs
# **Wellington Management** offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.# # About the RoleTHE COMPANYTracing our roots to 1928, Wellington Management Company, LLP is one of the world's largest independent investment management firms. With US$1 trillion in assets under management as of 30 September 2018, we serve as a trusted adviser to institutional clients and mutual fund sponsors in over 60 countries. Our innovative investment solutions are built on the strength of proprietary, independent research and span the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce, and to fostering an open, collaborative, and inclusive culture because we believe multiple perspectives lead to more informed investment and business decisions. As an Equal Opportunity Employer, we welcome people with diverse life experiences, fresh ideas, and specialized subject-matter expertise.THE POSITIONThe Lead, Market Data Services will be a strategic leader within Wellington Management's Market Data Services team. This role is responsible for driving the delivery of high-impact, cost-effective market data solutions while ensuring operational excellence and compliance. The ideal candidate will bring deep expertise in market data management, strong vendor negotiation skills, and the ability to lead cross-functional initiatives that align with the firm's business priorities.RESPONSIBILITIES* Lead the execution and continuous improvement of the firm's market data program ensuring alignment with business needs.* Oversee the full lifecycle of market data changes including onboarding, renewals, cancellations, and modifications, ensuring minimal disruption and maximum value.* Manage inventory systems and invoice workflows with precision, ensuring accuracy, timeliness, and compliance with budgetary targets.* Own relationships with key market data providers, lead contract negotiations, and monitor vendor performance to ensure service quality and value.* Ensure accurate reporting of exchange data usage in accordance with licensing agreements and regulatory requirements.* Serve as a key point of contact for investment teams and business units, providing expert guidance and support for market data needs.* Maintain and improve systems such as Optimize Spend (FITS) and ServiceNow to support workflow efficiency and data integrity.* Contribute to the annual budgeting process through detailed usage analysis, cost forecasting, and strategic recommendations.* Promote effective use of market data tools through user training and support, driving adoption and maximizing ROI.QUALIFICATIONS* Deep financial and market data services expertise with demonstrated leadership in managing complex vendor relationships.* Strong knowledge of market data vendors (e.g., Bloomberg, FactSet, LSEG, ICE) and licensing structures; familiarity with exchange rules and reporting requirements.* Prior experience with Optimize Spend strongly preferred. Experience with Power BI, Tableau and ServiceNow is a plus.* Excellent verbal and written communication skills with the ability to influence stakeholders and bridge business and technical needs.* Proven ability to lead initiatives, drive process improvements, and collaborate across departments in a fast-paced environment.* High attention to detail with a disciplined approach to data management and operational execution.* Proactive and resourceful with a strong commitment to continuous improvement and delivering high-quality outcomes.* Experience with soft dollar regulations and procedures a plus Not sure you meet 100% of our That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.*As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to* *race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law***.* If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at ************************************.*At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:USD 90,000 - 180,000This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.Base salary is only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time) We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term. #J-18808-Ljbffr
$116k-146k yearly est. 1d ago
Enterprise Data Risk Leader - Strategy & Governance
Capital One 4.7
McLean, VA jobs
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
$74k-96k yearly est. 4d ago
Staff Data Engineer
Galileo Financial Technologies 4.3
Remote
Employee Applicant Privacy Notice Who we are: Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at ********************************************** The role We're looking for a Staff Data Engineer who can see the big picture, make smart architectural calls, and still deliver in small, well-scoped steps. You'll help define how Galileo's cloud-native data platform evolves, from how we model and move data to how teams across the company (and our clients) access and rely on it. Your work will shape the standards and technical direction that multiple squads build on. In this role, you'll take ownership of complex cross-team initiatives, establish clear technical direction, and raise operational standards. You pair strong technical instincts with clear, steady communication, and you can turn ambiguity into well-sequenced, actionable work. You'll help shape both the platform and the way our team works. If you thrive in iterative delivery, enjoy solving complex data problems, and want your work to actually matter, you'll fit right in. What you'll do * Shape the architecture of Galileo's cloud-native, multi-tenant data platform, defining patterns and workflows used by internal teams and external clients. * Design domain data models, contracts, and semantic layers that improve clarity, trust, and consistent analytical and operational use across the business. * Build and evolve reusable platform components that raise engineering standards and eliminate one-off, pipeline-by-pipeline work. * Lead strategy for automated data quality, lineage, and observability, moving us toward metadata-driven systems with clear SLOs. * Drive complex cross-team initiatives, creating clarity, aligning stakeholders, and guiding architectural decisions that move the platform forward. * Resolve systemic platform issues through durable improvements that enhance performance, reliability, and developer productivity. * Partner with Product, Platform, Security, and Analytics to align priorities and connect technical decisions to broader organizational goals. * Raise engineering standards through strong design reviews, improved CI/CD practices, and automation that reduces operational load. * We're looking for someone who not only raises the technical bar, but also strengthens our small, high-trust team through thoughtful communication, ownership, and a genuine commitment to being a culture add. What you'll need * 8+ years of professional data platform engineering experience, with proven depth leading complex, cross-team initiatives and evolving long-lived systems. * Expert-level SQL and strong proficiency in Python or Java, with a track record of building reliable, maintainable, well-tested data systems. * Deep Snowflake expertise, including architectural design, warehouse optimization, cost/performance trade-offs, data sharing, and advanced platform features. * Strong experience in a major cloud environment (AWS preferred), designing systems that are secure, scalable, observable, and aligned to best practices. * Expertise with workflow orchestration (Airflow preferred) and transformation frameworks (dbt, PySpark, Snowpark). * Experience shaping BI or semantic layers ensuring durable, consistent definitions across domains. * Strong grounding in Git-based workflows and CI/CD, with the ability to improve engineering practices, reduce operational friction, and raise release reliability across squads. * Demonstrated Staff-level leadership - creating clarity from ambiguity, making sound architectural trade-offs, mentoring across teams, and driving alignment through clear, direct communication. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. This role may also be eligible for a bonus and/or long term incentives. Your recruiter will provide more information to you. All roles are eligible for competitive benefits. More information about our employee benefits can be found in the link below. Benefits To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi & Galileo page! US-Based Base Compensation $153,600-$264,000 USD Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights Galileo is committed to an inclusive culture. As part of this commitment, Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
$153.6k-264k yearly Auto-Apply 48d ago
Senior, Data Engineer
Carrington Mortgage 4.5
Aliso Viejo, CA jobs
Come join our amazing team and work remote from home! What you'll do: Under direct supervision, responsible for assisting in the efforts to design, develop, and maintain databases and data integration (ETL) systems to support business applications and business intelligence for the enterprise. Perform all duties in accordance with the company's policies and procedures, investor guidelines, all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $140,000.00 to $160,000.00. Designs, develops, and optimizes data integration processes, ETL workflows, and data platforms, leading the creation of technical designs and functional specifications to ensure performance, scalability, and reliability while contributing to future cloud migration efforts. Collaborates with stakeholders and third-party vendors to define, evaluate, and align business requirements for scalable data integration, reporting, and business intelligence solutions. Leads the design and development of automated solutions to improve business processes, productivity, and operational efficiency. Maintains ETL jobs and leads troubleshooting efforts for critical production issues, participating in the off-hours support rotation and providing SME assistance as needed. Leads the design, implementation, and maintenance of data platforms, technical designs, and functional specifications to ensure performance, scalability, and reliability. Develops and maintains comprehensive documentation of data processes, reports, applications, and procedures to ensure consistency, knowledge sharing, and alignment with organizational standards. Designs, develops, and deploys scalable reporting and dashboard solutions to support business intelligence, data visualization, and operational efficiency, ensuring appropriate security measures. What you'll need: Advanced knowledge of working in the Microsoft SQL Server environment to design, implement, and optimize enterprise data solutions with a focus on scalability and performance. Strong understanding of ETL concepts, data integration, and transformation processes, with practical experience implementing ETL solutions using Microsoft SSIS. Working knowledge of version control concepts, with experience using Microsoft DevOps for managing code repositories and collaborative development. Must have expert knowledge to lead and oversee SDLC processes. Advanced expertise in T-SQL programming, scripting, and optimization techniques, with the ability to write, debug, and optimize complex queries and procedures for enterprise-level solutions. Ability to understand, remember, and apply oral and/or written instructions or other information. Demonstrates advanced analytical and problem-solving abilities to design and optimize complex data solutions while collaborating effectively across teams. High school diploma or equivalent work experience, bachelor's degree in computer sciences preferred Four (4) or more years of experience in the information technology field with a strong focus on relational databases, data integration (ETL), data warehousing, business intelligence, reports development, and dashboard design. Four (4) or more years of experience with ETL tools - SSIS Four (4) or more years of experience with database management systems - MS SQL. Strong working knowledge of integrating applications using APIs is preferred. Experience with Microsoft BI applications (SSRS, SSAS, Power BI) is preferred. Knowledge of cloud-based database management and integration services (e.g., Azure Data Factory, Fabric, Snowflake, or Databricks) to lead and optimize data integration and transformation processes is a plus. Proficiency in programming languages is commonly used in data engineering, such as Python or Java Our Company: Carrington Mortgage Holdings is a holding company whose primary businesses include asset management, mortgages, real estate transactions and real estate logistics. Collectively, the businesses are vertically and horizontally integrated, and provide a broad range of real estate services encompassing nearly all aspects of single-family residential real estate transactions in the United States. Guided by a leadership team with a wealth of industry experience and guided by a consistent philosophy, Carrington maintains the necessary infrastructure to ensure stability and maximize value during any market cycle. We hope you'll consider joining our growing team of uniquely talented professionals as we transform residential real estate. To read more visit: ********************* What We Offer: Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed. Access to several fitness, restaurant, retail (and more!) discounts through our employee portal. Customized training programs to help you advance your career. Employee referral bonuses so you'll get paid to help Carrington and Vylla grow. Educational Reimbursement. Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. For more information about Carrington Charitable Foundation, and the organizations and programs, it supports through specific fundraising efforts, please visit: carringtoncf.org. California Privacy Notice: ******************************* Notice to all applicants: Carrington does not do interviews or make offers via text or chat
$140k-160k yearly Auto-Apply 8d ago
Senior Data/AI Engineer
Common Securitization Solutions 4.2
Remote
The Company U.S. Financial Technology (U.S. FinTech) is seeking an experienced Senior Data/AI Engineer to join our team of talented professionals. This is a full-time remote opportunity. U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac. Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management. Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists. RESPONSIBILITIES Job Information The Data/AI Engineer will be responsible for solution engineering of enterprise scale data management best practices. This includes patterns such as modern data integration frameworks and building of scalable distributed systems using emerging cloud-based data design patterns. This role will be responsible for developing data integration tasks in the data and analytics space. This position will report to the Director of Data Management under Data & AI organization. Key Job Functions Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Snowflake, Databricks or Redshift. Build data integration solutions between transaction systems and analytics platforms. Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. Fundamental understanding of building of data products by data enrichment and ML. Act as a team player and share knowledge with the existing team members. QUALIFICATIONS Education Bachelor's degree in computer science or a related field. Minimum Experience Minimum 5 years of experience in building data driven solutions. At least 3 years of experience working with AWS services. Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Specialized Knowledge & Skills Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools. Strong scripting experience using Python and SQL. Working knowledge of foundational AWS compute, storage, networking and IAM. Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus. Solid scripting experience in AWS using Lambda functions. Knowledge of CloudFormation template preferred. Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Snowflake. Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services. Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Strong understanding of data security - authorization, authentication, encryption, and network security. Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred. Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred. Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts. Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures. Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. Pay Range $141,750 to $165,000 U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate's qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits. Employment As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business. U.S. Financial Technology is an Equal Opportunity Employer. ##LI-Remote
$141.8k-165k yearly Auto-Apply 48d ago
Senior Data/AI Engineer
Common Securitization Solutions 4.2
Remote
The Company U.S. Financial Technology (U.S. FinTech) is seeking an experienced Senior Data/AI Engineer to join our team of talented professionals. This is a full-time remote opportunity. U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac. Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management. Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists. RESPONSIBILITIES Job Information The Data/AI Engineer will be responsible for solution engineering of enterprise scale data management best practices. This includes patterns such as modern data integration frameworks and building of scalable distributed systems using emerging cloud-based data design patterns. This role will be responsible for developing data integration tasks in the data and analytics space. This position will report to the Director of Data Management under Data & AI organization. Key Job Functions Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Snowflake, Databricks or Redshift. Build data integration solutions between transaction systems and analytics platforms. Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. Fundamental understanding of building of data products by data enrichment and ML. Act as a team player and share knowledge with the existing team members. QUALIFICATIONS Education Bachelor's degree in computer science or a related field. Minimum Experience Minimum 5 years of experience in building data driven solutions. At least 3 years of experience working with AWS services. Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Specialized Knowledge & Skills Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools. Strong scripting experience using Python and SQL. Working knowledge of foundational AWS compute, storage, networking and IAM. Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus. Solid scripting experience in AWS using Lambda functions. Knowledge of CloudFormation template preferred. Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Snowflake. Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services. Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Strong understanding of data security - authorization, authentication, encryption, and network security. Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred. Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred. Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts. Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures. Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. Pay Range $141,750 to $165,000 U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate's qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits. Employment As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business. U.S. Financial Technology is an Equal Opportunity Employer. ##LI-Remote We can recommend jobs specifically for you! Click here to get started.
$141.8k-165k yearly Auto-Apply 50d ago
Data Engineer
Quicken Loans 4.1
Remote
As a Data Engineer, you will engage in the design, development, and maintenance of data platforms and solutions, including applying data management principles to pipelines and delivering analytical and operational solutions to provide visibility and enable decision-making. You will develop data integration solutions and work with cross-functional teams to build products and services to meet business needs. This role will comprise of 75% Data Engineer and 25% Data Analytics. About the role Identify, investigate and solve data quality issues and ensure data is secure and reliable Develop Extract, Load, Transform (ELT) processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency Develop data processing scripts Experienced working in highly cross-functional settings, and in a role that spans data engineering, strategy, and operations Work in a hybrid data environment with on-premises and cloud data warehouses Develop relational and non-relational data models to shape data to meet user needs Monitor performance and scalability issues in a large-scale data lake environment About you Passion for digging deep into data to diagnose business issues, drive operational excellence, and solve problems 3-5 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services Degree or equivalent competency in computer science, information technology, or a related field 3 years of experience or equivalent competency analyzing data to identify deliverables, gaps and inconsistencies Expertise writing simple and complex SQL queries (Snowflake, AWS, etc.) Technical skills in Python, Airflow, Github, Advanced SQL, Advanced Excel, PowerBI/Tableau Experience accessing and developing REST APIs What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About us Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you'll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at ****************** . Illinois, Maryland, Minnesota, Massachusetts, Colorado, Cleveland, New York City, New Jersey, Jersey City, California, D.C and Washington Candidates only: the compensation for this position is $87,000.00-$207,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here . The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.
$87k-207k yearly Auto-Apply 6d ago
Data Engineer
Tata Consulting Services 4.3
Salt Lake City, UT jobs
Must Have Technical/Functional Skills * Solid understanding of search technology, real-time data pipeline construction, ETL processes, and various programming languages including Java and Python. Proficient with UNIX/Linux, scheduling, and orchestration tools. * Expert in developing robust Python scripts for automating ETL tasks, data ingestion, cleansing, validation, and workflow orchestration. * Experienced in implementing RESTful APIs in Python for data exposure and consumption, and skilled in using Python libraries (e.g., Pandas, NumPy, SQLAlchemy) for data manipulation and database connectivity. * Design and deploy microservices and data applications on Kubernetes clusters, managing deployments, services, and autoscaling. * Implement and manage CI/CD pipelines that automate the deployment of Docker images to Kubernetes environments. * Create optimized Docker files to package data applications (Python scripts, ETL services) and their dependencies, ensuring consistent environments. * Customize deployments using values.yaml in Helm for different environments (dev, QA, production). Roles & Responsibilities * Configure and troubleshoot authentication and authorization using Kerberos to secure access to Big Data systems like Hadoop, Spark, or specific databases. Implement security principles and role-based access in data environments. * Perform basic database administration tasks such as performance monitoring, indexing, and query optimization on engines like SQL Server, PostgreSQL, Oracle, and Greenplum. * Efficiently extract, transform, and load data between these heterogeneous databases. * Requires a Bachelors in Computer Science, Computer Engineering or related field and some experience ADO/GIT, ETL, SQL, UNIX/Linux, Docker/Kubernetes, API Development, JSON, Kafka, Automated Testing, BDD, Big Data distributed systems, various programming languages like Java and Python, orchestration tools and processes or other directly related experience. * Develops, tests, and modifies software to enhance data platform and application efficiency. Provides technical support for issues. * Actively participates in agile ceremonies, including program increment planning, daily standups, team backlog grooming, iteration retrospectives, team demos, and inspect & adapt sessions. * Supports test and QA efforts on data projects and coordinates with data operations teams for production deployments. * Possesses strong analytical, organizational, and problem-solving skills. Demonstrates the ability and desire to quickly learn new technologies and adapt to changing technology and priorities. * Excellent verbal and written communication skills with both technical and non-technical staff. Capable of working independently, handling multiple concurrent projects, prioritizing effectively, and collaborating effectively within a team environment. * Skilled at eliciting, gathering, analyzing user requirements, and interpreting, validating, and mapping business requirements to appropriate solutions. * Able to meet deadlines. Generic Managerial Skills, If any Managerial exp is good to have Salary Range: $115,000 - $120,000 a year
$115k-120k yearly 22d ago
Sr. Data Engineer
MFS Investment Management 4.8
Boston, MA jobs
At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. THE ROLE The Sr. Data Engineer will play a critical role in enhancing and maintaining a data platform for execution and operations research within the trading department. The candidate will be working as a part of a team of Quantitative Trading Strategists to store new data sets, ensure reliability of data pipelines, build out additional capabilities across multiple asset classes. The Sr. Data Engineer will work across vendors and internal teams to ensure seamless, scalable data flows are built in an accessible way throughout the trading ecosystem. WHAT YOU WILL DO Design, build, and maintain scalable data pipelines to ingest data from numerous sources. Proactively and independently work to enhance reliability of data capture. Collaborate with team to develop processes to transform raw data into more usable data sets. Find and action opportunities for automation in analytics production. Implement robust data quality checks and enhance monitoring for data pipelines. Partner with Quantitative Trading Strategists to improve current platform capabilities and performance. WHAT WE ARE LOOKING FOR Bachelor's degree in Computer Science or Engineering, with a focus on software engineering. Knowledge of data science or statistics is beneficial. Minimum of three to five years of experience in a data intensive field. Experience with Python, KDB/Q or other programming languages with a focus on interfacing with high volume data. Experience working with large data sets, structured and unstructured Experience with data visualization and concepts around display of data Equity and fixed income quantitative background, market structure knowledge, plus experience with trading processes and/or transaction cost analysis (TCA). Ability to work independently and proactively generate project ideas. Strong interpersonal and communication skills. Some international travel. Base Salary Range: $95,500 - $137,500 This position is eligible for competitive incentive bonus. At MFS, we believe in fair and transparent compensation. For that reason, we're including the salary range for this position. This range reflects our good-faith expectation for what we'll pay depending on the candidate's experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensation based on both individual and company performance. Other components of our Total Rewards Package include: MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k) Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider Education Assistance: Tuition reimbursement up to $8,000 annually Education Assistance: Access to discounted tutors and college coaches Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves Choice of medical and dental plans and an and an employer contribution into the Health Savings Account Tax deferred commuter benefits & flexible spending accounts (medical & dependent care) Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work. We are committed to transparency - if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we'll be happy to discuss them #LI-HYBRID At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others. MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at ************ or email talent_******************* for assistance. MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.
$95.5k-137.5k yearly Auto-Apply 24d ago
Lead Data Engineer - Mainframe/DB2/QREP
Jpmorgan Chase 4.8
Wilmington, DE jobs
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer - Mainframe/DB2/QREP at JPMorgan Chase within the Consumer & Community Banking - Card Platform Services Team, you are an integral part of an agile team that works to enhance, build, and deliver database requirements to meet product business deliverables by ensuring the data is always available, accessible , reliable and recoverable. As a core technical contributor, you are responsible for maintaining the critical database and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job responsibilities** + Administer, design, implement and support highly available and scalable Mainframe DB2 & IMS database solutions + Implement data models, database designs, data access and table maintenance codes. + Implement and maintaining the DB2/IMS Databases with High Availability features using Data Partitioning and Database replications. + Resolve database performance issues, database capacity issues, replication and other data issues. + Work with Information Architects and Database Designers to implement the physical data model. + Develop the database performance monitoring process and analyze data for optimization opportunities. + Provide up to Level 2 on call support for the 24/7 DB2/IMS database environment. + Manage on-site backup and recovery process. + Plan for and execute required database upgrades or migrations. + Work with database admin tools like CA Platinum/ BMC/ IBM Admin tools, Mainview, IBM Data Studio, BMC Recovery management etc. **Required qualifications, capabilities, and skills** + Formal training or certification on software engineering concepts and 5+ years applied experience + Database design/development, integration, performance monitoring & tuning, systems re-engineering and Operations support. + Knowledge of DB2 for z/OS along with mainframe related tools such as BMC, CA Platinum for monitoring, SMPE, ISPF, SMS, SMF. + Expertise with IMS Full Function/Fast Path database implementation, REXX programming and MQ + Experience in IBM Replication CDC , QREP. + Capable of creating the roadmap, processes, best practices, standards, and strategies for continuous improvement, resiliency, and scalability. + Experience with Atlassian tools like Jira, Confluence. + Proven background on database engineering, automation, monitoring, performance engineering design and implementations. + Strong execution mind-set to manage and track progress against transformation goals. + Knowledge of industry-wide technology trends and best practices. **Preferred qualifications, capabilities, and skills** + Experience providing 24x7 rotational support. + Understanding of Distributed and Static SQL workloads + Familiar with IDAA (Data Analytics Accelerators) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans
$95k-119k yearly est. 4d ago
Data Scientist
Navy Federal 4.7
Virginia jobs
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.
$72k-94k yearly est. Auto-Apply 7d ago
Principal Data Scientist (Compliance)
Navy Federal Credit Union 4.7
Vienna, VA jobs
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
$72k-95k yearly est. Auto-Apply 7d ago
Data Engineer
Old National Bank 4.4
Evansville, IN jobs
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 $62,300 - $199,000 per year. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate's relevant skills and professional experience, educational qualifications, and geographic location. We are currently seeking a Data Engineer. This position will require knowledge of enterprise data governance, data analysis, business analysis, and the technical tools to execute on those roadmaps. You will assist with creating a unified data model that will be central to all Data Governance activities and helping to set the foundation of our Master Data Management strategy. This includes crucial external and internal reporting, line of business specific needs, and system integration. Activities will include working with stakeholders, subject matter experts, business analysts, and technical teams to execute, maintain, and own the Old National Core Data Model. Key Accountabilities Key Accountability 1: Create and Maintain Data Governance Data Quality Framework Enable technical frameworks with tech stack that enable monitoring, reporting, and remediation of data quality issues Partner with business stakeholders, data owners, and information owners to implement appropriate data quality rules Documents procedural level documents to support technical teams and business partners adherence to Data Quality Framework Key Accountability 2: Data Analysis and Profiling Support business partners with proper profiling techniques to better understand the data. Drive data accountability to understand data gaps and needs within systems and business processes Key Accountability 3: Data Cleansing Framework Direct framework and strategy to support data cleansing based on Data Quality Framework and Profiling activities. Partner with IT design a technical framework that will enable business partners and data analysts to transform their data in a consistent and traceable framework. 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 Bachelor's degree in related field; advanced coursework/training related to data management, computer science, management information systems 3+ years' experience working with data analysis/profile tools, including but not limited to Informatica, SQL Server, MS Power Query, etc. 3+ years' working with data transformations and various ETL tools, DBT, FiveTran, Azure Data Factory 3+ years' experience working in a variety of data models, ODS, Relational, Fact/Dimension Understanding of reporting and data analytics to ensure overall accuracy Knowledge of industry leading practices in Analytics and Data Movement Strong written, verbal, and interpersonal skills to advance a data driven culture and work priorities. Working knowledge of data governance principles and frameworks Source system profiling via a variety of tools and methods Ability to write data quality rules (business facing and pseudo code) Data lineage/data Catalog knowledge Master data management Exposure to data platforms such as AWS, GCP, Azure, and/or Databricks 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.)
$70k-88k yearly est. Auto-Apply 22d ago
Data Engineer Lead
Old National Bank 4.4
Evansville, IN jobs
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. 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$70k-88k yearly est. Auto-Apply 1d ago