Data Engineer jobs at Equifax - 2021 jobs

Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance‑driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice. At Regions, the Principal Data Scientist is a visionary and hands‑on practitioner that supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of scalable, efficient, and reliable data‑science capabilities that elevate the entire team's productivity and impact. This includes advancing model lifecycle management, establishing best‑in‑class practices, designing ML pipelines, and guiding the adoption of emerging technologies like Large Language Models (LLMs) and Generative‑AI. The candidate should have comprehensive knowledge of end‑to‑end data science modeling lifecycles and strong track record of successfully delivering complex data science projects. Primary Responsibilities Develops and leads execution of the research roadmaps for advanced AI Capabilities such as LLM, GenAI, Retrieval‑Augmented Generation(RAG), Agents and Computer Vision etc. Stays at the cutting edge of ML/AI literature and practices Periodically evaluates the design of existing modeling and MLOps and identifies opportunities for improvement Serve as a technical Subject Matter Expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing Partners with other data scientists, engineers and product teams to define technical standards, influence solution‑design decisions, and raise the bar on solution quality Champions MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies Designs and promotes implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance Drives complex, high‑impact modeling projects from ideation to production, especially where advanced techniques (e.g. NLP, GenAI, LLMs) can drive strong business value Leverages statistical analysis, machine learning (ML) and deep learning (DL) techniques, collaborating with various lines of businesses to design data products that enhance profitability, mitigate risks, and drive customer engagement across all touchpoints Leverages cloud‑based analytical platforms to build data analytics solutions Extracts actionable insights from data to support data‑driven decision‑making processes Collaborates with risk management and compliance teams to ensure compliance with internal and external regulatory requirements Fosters a culture of innovation and continuous improvement within the team This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. This position is incentive eligible. Requirements PhD degree in a quantitative or analytical field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and our (4) years of relevant experience Or Master's degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and six (6) years of relevant experience Or Bachelor's degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and eight (8) years of relevant experience Eight (8) years of experience in Machine Learning, with experience in GenAI, LLMs and frameworks such as Hugging Face Transformers and LangChain. Eight (8) years of programming experience in Python, PySpark, SQL and modern ML Libraries (e.g. Scikit‑learn, TensorFlow, PyTorch) Six (6) years of hands‑on experience with Big Data tools and platforms such as Hadoop, Spark, Hive, MLFlow or Kafka Six (6) years of hands‑on experience with cloud‑based analytics platforms such as Amazon Web Services (AWS) SageMaker, Azure Machine Learning Studio, Google Cloud AI Platform, Snowflake or Databricks Preferences Five (5) years of experience in Agile Software Development Lifecycle Five (5) years of experience influencing, guiding, or providing technical direction to other data scientists or cross‑functional team members. Background in banking and/or other financial services Experience in RAG and integrating frontier models such as LangChain, llama Index, Anthropic, Bedrock, GPT, or Ollama Experience with Docker/Kubernetes Hands‑on experience with techniques for text parsing, sentiment analysis, and the use of generative models such as Generative Pre‑trained Transformer (GPT), Variational Autoencoders (VAE), and Generative Adversarial Networks (GANs) Skills and Competencies Ability to continue research and learn new systems as needed Ability to partner with stakeholders to identify business challenges and design solutions Ability to research, analyze data, and derive facts Ability to work under pressure and meet deadlines Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, or recommendation and optimization algorithms Experience delivering and scaling models in production Experience planning, managing, and delivering data science projects, including risk identification and mitigation Strong verbal, written communication, and organizational skills Strong work ethic and self‑motivation This position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule for this position, including in‑office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are Birmingham, AL, Atlanta, GA or Charlotte, NC. Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full‑time basis. Compensation Details Pay ranges are job specific and are provided as a point‑of‑market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job. The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. Job Range Target: Minimum: $144,158.30 USD 50th Percentile: $191,230.00 USD Incentive Pay Plans: This role is eligible to participate in the annual discretionary incentive plan. Employees are eligible to receive a discretionary award based on individual, business, and/or company performance. Opportunity to participate in the Long Term Incentive Plan. Location: Atlanta, Georgia Equal Opportunity Employer/including Disabled/Veterans Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher‑volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company. #J-18808-Ljbffr

Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies* Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems* Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake* Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community* Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment* Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance* Bachelor's Degree* At least 4 years of experience in application development (Internship experience does not apply)* At least 2 years of experience in big data technologies* At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)* 7+ years of experience in application development including Python, SQL, Scala, or Java* 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)* 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)* 4+ year experience working on real-time data and streaming applications* 4+ years of experience with NoSQL implementation (Mongo, Cassandra)* 4+ years of data warehousing experience (Redshift or Snowflake)* 4+ years of experience with UNIX/Linux including basic commands and shell scripting* 2+ years of experience with Agile engineering practices Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #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 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

# **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

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

A digital banking company is seeking a Head of Data Science in Dallas, Texas. You will drive the data science roadmap, lead model development, and serve as a strategic consultant to stakeholders. The ideal candidate has over 8 years of experience in data science, particularly in financial services, and is proficient in Python and machine learning tools. A competitive salary of $250,000 to $300,000 is offered, along with bonuses and equity. #J-18808-Ljbffr

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards 2021 Most Innovative Companies - presented by Fast Company 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE Apex Fintech Solutions is seeking an experienced Senior Software Engineer to contribute to the ongoing evolution of its cutting-edge Margin product-a critical component of the Apex Ascend platform. This role focuses on designing and delivering key features for real-time buying power calculations along with building highly scalable applications and services. As a Senior Engineer, you will thrive in a fast-paced environment where you will leverage modern cloud-native solutions, contribute to the development of robust backend systems, and work closely with cross-functional teams to influence technology solutions. Duties/Responsibilities Backend Development: Design, develop, deploy, and maintain high-performance backend systems using Java to enhance the functionality and scalability of the Margin product. Microservices Engineering: Build and manage containerized microservices using Kubernetes and Docker, ensuring optimal scalability, reliability, and performance. Cloud-Native Applications: Develop and optimize infrastructure leveraging Google Cloud Platform and associated technologies such as Google Pub/Sub. Distributed Systems: Focus on creating scalable, event-driven systems employing Kafka, RabbitMQ, Redis, and PostgreSQL. API Development: Design robust, secure, and efficient gRPC and REST APIs for internal and external system interactions. Data Engineering: Design, maintain, and optimize relational databases, with a focus on PostgreSQL/AlloyDB, to ensure efficient data storage, retrieval, and transactional operations within Java-based backend systems. Performance Optimization: Tackle complex technical challenges by optimizing system performance, availability, scalability, and maintainability. Collaboration & Communication: Collaborate effectively with globally distributed teams, translating technical topics for non-technical stakeholders and aligning architecture strategies across teams. Mentorship and Knowledge Sharing: Support junior engineers through mentoring, technical guidance, and sharing best practices to enrich team expertise and project outcomes. System Design & Architecture: Contribute to key architectural decisions to ensure solutions are scalable, secure, and well-integrated across multiple teams and systems. Education and/or Experience BA, BS, MS, PhD in Computer Science, Engineering or related technology field (or equivalent work experience) required 5+ years of professional experience in backend software development, with a proven focus on designing, implementing, and maintaining distributed systems and microservices. Demonstrated experience guiding projects, working cross-functionally, and mentoring junior engineers, while actively contributing to a collaborative team culture. Certifications in Java, Kubernetes, or cloud platforms (e.g., Google Cloud) preferred Required Skills/Abilities Solid understanding of financial systems, risk modeling, and regulatory compliance to deliver secure and reliable solutions. Proficiency in building fault-tolerant systems and high-availability, real-time data processing services. Expertise in backend performance tuning and ensuring system scalability and reliability. Hands-on experience with DevOps practices, including CI/CD pipelines and deployment automation. Deep understanding of securing APIs, backend systems, and cloud-based infrastructures. Work Environment This role operates in a hybrid capacity, requiring on-site collaboration three days per week. This position can be located in Chicago, Illinois, or Austin, Texas. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. Salary Range $123,000-$153,750 The annual base salary range for this position is noted above. Exact compensation offered may vary depending on job-related knowledge, skills, experience, and office location. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process. #J-18808-Ljbffr

A financial technology company is seeking a Head of Data Science in Atlanta to lead a team in utilizing advanced analytics and machine learning to drive business growth. This role requires 8+ years of experience in data science, proficiency in Python, and a proven ability to deliver measurable business outcomes in financial services. Competitive salary and benefits are provided, emphasizing the company's commitment to diversity and inclusion. #J-18808-Ljbffr

A technology-driven trading firm located in Chicago is seeking a Senior Software Engineer for the Analytics Front Office. This role involves designing and implementing low latency risk analytics systems and requires extensive experience with distributed systems and testing automation. The ideal candidate is proficient in programming and tools such as C#, Python, Git, Docker, and Kubernetes. Competitive salary ranges between $200k and $250k, plus additional benefits. #J-18808-Ljbffr

Senior Software Engineer page is loaded## Senior Software Engineerlocations: Boston, MA, United Statestime type: Full timeposted on: Posted Yesterdayjob requisition id: R93330# **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 RoleTITLE: Senior Software Engineer - Frontend UITEAM: Alpine Portfolio AnalysisLOCATION: Boston, MA...........................................................................................................................................................................................................................................................At Wellington Management our appetite for technology is insatiable. We recognize that the world is full of fascinating questions that will impact the future of companies, economies, financial markets, and entire industries. We want you to help us find answers to these questions by building and evolving our innovative, industry leading, technology platform. We are seeking qualified candidates to join our expanding technology team. Together, you will not only dream up solutions to today's investment challenges, but you will build them to see real-life results. Technology needs are advancing, and this level of complexity requires a highly sophisticated well-managed technology platform that is built by people like you. This is your chance to build something incredible. We want you to think big, to solve challenges, and positively impact our clients.JOB OVERVIEWWe are seeking a candidate for a senior software engineer who can work closely with other members of IT including other developers, business analysts, and QA engineers to design, develop, test, implement, and support solutions to meet business requirements.To succeed in this role, the candidate must be a self-starter with a curiosity about the portfolio analysis domain. We are looking for a strong hands-on engineer to help deliver on our goals in this strategic initiative.RESPONSIBILITIES* Work with business teams, project managers, and systems analysts to review and qualify business requirements, functional specifications, use-cases, and test plans* Design, prototype, and code new software components and applications based on functional specifications, primarily web and mobile clients* Coordinate with analyst teams and vendors to execute test plans and provide support during user acceptance testing* Modify and enhance existing systems to incorporate new functionality and to optimize them for performance* Work closely with UX teams to design, develop, and deliver high quality user experiences that meet performance and design specifications* Author technical design and support documentation QUALIFICATIONS* Demonstrated experience designing and developing web applications and services using JavaScript and other relevant enterprise technologies (e.g., Java, .Net)* Fluent in modern JavaScript frameworks, ReactJS preferred.* Strong understanding of user interface design patterns and data architecture principles.* Experience working with Rest APIS, WebSocket, and Server Sent events.* Experience with, and a demonstrated understanding of, modern software development and testing methodologies such as Artifactory, GIT, and Jenkins CI* Ability to understand in-house applications and highly complex and interrelated systems and processing* Experience with various software development methodologies, such as Agile* Excellent written and verbal communications skills* Ability and willingness to work in an energetic, fast-paced, team-oriented environment* Ability to work independently* Ability to manage conflicting priorities effectively* Ability and willingness to work effectively in a business-critical production environment 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

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you someone who thrives in a highly visible, fast‑paced data science environment? Do you have a deep understanding and passion for excellence in technology, especially in supporting data‑driven solutions and meeting delivery timelines? If you have proven experience, the drive, and know what it takes to help teams successfully implement innovative, fast‑to‑market data science products, we are your next destination employer! Apply to join Freddie Mac's Single‑Family Acquisitions AI/ML Enablement team. We are seeking a talented software developer or machine learning engineer with expertise in modern delivery practices, distributed data processing, and advanced machine learning frameworks-including generative AI. In this role, you will support data scientists in running machine learning experiments, developing and deploying models, and leveraging generative AI to solve complex business challenges within the Single‑Family division. Our Impact: Freddie Mac's Single‑Family Line of Business is in the throes of a major digital modernization and transformation. We are changing the way we work every day. Provide efficient software and data‑driven solutions for business requirements. Assist data scientists in running machine learning experiments and optimizing their workflow. Help support teams to analyze and resolve business raised incidents, including those related to data and machine learning models. Your Impact: You will be a key executor to the team, as a machine learning engineer, you will be assisting data scientists in their research and development work in building data pipelines, developing and deploying machine learning models, and taking on responsibilities across the entire data and ML stack. You will be contributing across several other technical activities such as data engineering, model development, deployment, MLOps, and quality of the product while working closely with the Technical Lead to analyze and come up with efficient solutions for software and data challenges related to R&D work by Single‑Family data scientists. Qualifications: Bachelor's degree in information technology, Computer Science, Engineering, Data Science, or related field, or equivalent combination of education and work experience. Advanced studies/degree preferred. A minimum of 5‑7 years of experience engineering robust machine learning solutions. 5+ years experience in Machine Learning processes: data preparation, exploratory data analysis, model training and evaluation, linear algebra, statistical concepts, algorithm design, software engineering practices. Knowledge / hands‑on experience with multiple technologies such as: Apache Spark, Ray Project, PyTorch, scikit‑learn, NumPy, and pandas. Strong proficiency in Python and working with the Python ecosystem. Knowledgeable about various Python package building and distribution methods (e.g., setuptools, pip, conda). Comfortable working with open‑source packages and ability to debug issues with open‑source. Must have strong prior hands‑on development experience with distributed data processing (Apache Spark, Ray), deep learning frameworks (PyTorch), and machine learning libraries (scikit‑learn). 2+ years familiar with the use of AI‑assisted coding tools, such as GitHub Copilot, Claude Code, Amazon Q, Cursor, etc. Must be familiar with high‑pace agile environment and active participation in agile ceremonies like standups, refinement sessions, retrospectives and reviews is required. Experience with E2E testing tools and model validation techniques is a huge plus. 2+ years with data storage solutions such as PostgreSQL, MongoDB, Snowflake, and cloud platforms is highly preferred. Information and application security including firewall, AD, TAM/PING, LDAP, certificates, public key encryption, SSH, access credentials, etc. Large‑scale data architectures, container orchestration frameworks, and deployment of machine learning models in production. Proven understanding of developing end‑to‑end machine learning workflows, including data preparation, model training, hyperparameter evaluation, and model serving. Keys to Success in this Role: Demonstrate strong interpersonal and communication skills by actively engaging with team members, stakeholders, and cross‑functional partners. Effectively share ideas, technical concepts, and project updates both verbally and in writing, ensuring clarity and understanding. Embrace open dialogue and transparency to build trust and drive team success. Ability to work effectively and productively in a team or independently. Technology‑first approach, outstanding analytical skills and drive for new technologies and tools. Innovative in providing solutions, like to take on challenges with calculated risk - fail fast and learn fast. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit ****************** and register with our referral code: MAC. Time‑type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market‑leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market‑based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant. #J-18808-Ljbffr

Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we're on a mission to deliver the world's most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. Who we are: Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments in higher education. We've since scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world. Today we support more than 4,800 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies. With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we're looking for FlyMates to join the next stage of our journey as we continue to grow. The Opportunity: We, at Flywire, are looking for an experienced Sr. Software Engineer II, ideally with a background in FinTech. Your primary responsibility will be to build and maintain the platform that supports the money movement of our industry leading payment engine moving hundreds of millions everyday. You will be joining a team in charge of designing new functionalities and improving the current capabilities to improve speed, cost and scalability of our product. Thus, a commitment to collaborative problem solving, pragmatic design, building quality products and to convey the sensation that the product is the responsibility of all the team is essential. You will be responsible for ensuring high quality code in a team defined timeframe. Write clean, high quality, testable, secure, maintainable and extendable code Solve items such as challenging bugs and production issues within the development environment Work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results Understand scalability and performance status and make improvement for scalability Drive change and improvement in all phases of the development lifecycle Partake in the recruitment process by identifying and exciting great talent Ensure the best possible performance, quality, and responsiveness of the applications Contribute to the product vision by collaborating with Product Managers and stakeholders Drive initiatives to lead projects as well as mentor team members What We're Looking For: 8+ years of experience in web application development Experience in designing, developing and supporting scalable, performant and reliable web applications and distributed systems Seasoned in techniques such TDD and BDD Proficient working with continuous integration and delivery (CI/CD) Understanding of relational databases Firm grasp of OTEL and distributed tracing Strong understanding of object-oriented fundamentals Great understanding of the other disciplines in the cross functional team: QAs, Product, and SREs Outstanding verbal and written communication skills and the ability to collaborate with cross functional teams including product and support Fluent in English, as it is the company's working language Experience in Travel & Hospitality, FinTech, or the Payment industry will be appreciated The ability to deliver high quality code and learn quickly Local to Boston or Chicago is highly preferred Technologies We Use: Java React Spring Boot and Hibernate Docker Open Telemetry Our Culture: We are a global company. Our Engineering Team is distributed across 3 continents and 4 different countries so remote work is allowed! Our engineering practice is shaped around concepts including Agile, Lean, and Extreme Programming. Each team has a high level of autonomy to organize themselves in the way they consider more appropriate to execute their mission. We actively engage in knowledge sharing by hosting internal cross-discipline events. We are active in contributing to open source whenever possible. We contribute to our local communities by hosting different events, Meetups, etc What We Offer: Competitive compensation, including Restricted Stock Units Employee Stock Purchase Plan (ESPP) Flying Start - Our immersive Global Induction Program Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media Dynamic & Global Team (we have been collaborating virtually for years!) Wellbeing Programs (Mental Health, Wellness) with Global FlyMates Be a meaningful part in our success - every FlyMate makes an impact Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days! Great Talent & Development Programs Submit today and get started! We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions. Flywire is an equal opportunity employer. With over 30 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we're excited to watch our unique culture evolve with each new hire. Flywire is an equal opportunity employer. The US base salary range for this full-time position is $155-175k, restricted stock units, and benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and several other factors, including job-related skills, experience, relevant education and training. #J-18808-Ljbffr

A global payments company based in Chicago is looking for a Sr. Software Engineer II to build and maintain their payment platform. The ideal candidate should have over 8 years of web application development experience, a strong understanding of TDD/BDD practices, and be fluent in English. This role offers competitive compensation including stock options and benefits, with the potential for remote work. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy. About the Role: As a Staff Software Engineer on the Developer Productivity - Build Stability, you will be instrumental in shaping the developer experience for hundreds of engineers at Gusto. You will be part of the team that owns the broader CI ecosystem, focused on improving its performance, scalability, and reliability. Your work will directly impact how quickly we can deliver value to our customers by making our development and deployment pipelines faster and more efficient. This is a high-impact role for an engineer who is passionate about developer tooling and infrastructure. You will collaborate closely with engineers across various teams to understand their needs and provide effective solutions, with a forward-thinking approach towards incorporating intelligent solutions. About the Team: The Build Stability team, part of the Developer Productivity organization, is at the heart of this mission, owning the Continuous Integration (CI) system that powers our development lifecycle. We are responsible for empowering our software engineers through consistent, reliable, and delightful build systems that maximizes engineering velocity and minimizes friction to shipping. Here's what you'll do day-to-day: You will manage, maintain, and evolve our core CI system, primarily centered around Buildkite, ensuring it can handle our growing engineering organization's needs. Dive deep into our build and test pipelines to identify bottlenecks. You'll implement solutions to drastically reduce build times and improve resource utilization. Design, implement, and maintain critical developer workflow tools like merge queues to ensure our main branch is always stable and developers can integrate their code reliably and efficiently. Own and enhance our systems for automatically detecting, quarantining, and reporting on flaky tests. Your work here will directly improve the reliability of our test suites and boost developer confidence in our CI system. Build robust tools and services that enhance developer workflows, improve observability into our build system, and automate manual processes. Partner with product engineering teams to understand their needs, provide support, and champion best practices for building and testing their services effectively. Proactively monitor the health of our CI platform, troubleshoot complex issues, and implement measures to prevent future failures, ensuring a stable foundation for all of Gusto's developers. Here's what we're looking for: 10+ years of software development experience Systems thinker with a strong ability to communicate effectively. Comfortable with architectural thinking and delivering solutions through code. Experience with developer tooling for large engineering teams. Ability to work with colleagues as both customers and partners. Proven track record of improving developer productivity through tooling and infrastructure enhancements. Our cash compensation amount for this role is targeted at $175,000/yr to $195,000/yr in Denver & most remote locations, and $210,000/yr to $235,000/yr in New York, Seattle & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Voluntary Self-Identification Our customers come from all walks of life and so do we. We hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it helps us to build better products, better serve our customers, and makes our company stronger. In addition to the information required to consider your application, below is a set of demographic questions that help us identify areas for improvement in our process and further support the development and execution of our diversity efforts and programs as well as to create a more inclusive environment for all employees. Your responses to these questions will be recorded and maintained in a confidential file. Your responses, or your wish not to answer, will not be associated with your specific application, will not be shared with hiring managers, and will not in any way be used in making any employment decisions, including hiring decisions. Please use this as a reference while completing the disability self-identification: You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition. Disabilities include, but are not limited to: Blindness Deafness Cancer Diabetes Epilepsy Autism Cerebral palsy HIV/AIDS Bipolar disorder Multiple sclerosis (MS) Missing limbs or partially missing limbs Post-traumatic stress disorder (PTSD) Impairments requiring the use of a wheelchair How would you describe your gender identity (please select one)? * Select... I identify as transgender (please select one): * Select... I identify my sexual orientation as (please select one): * Select... I identify my race/ethnicity as (mark all that apply): * Select... Veteran Status (please select one): * Select... I have a disability (please select one): * Select... I identify as a first-generation professional (please select one): * Select... #J-18808-Ljbffr

A leading technology firm in Seattle seeks a Staff Software Engineer for Build Stability. In this role, you will enhance developer experience by managing CI systems and improving development pipelines. Candidates should have over 10 years of software development experience and a proven track record in developer tooling. The position offers a competitive salary range of $210,000 to $235,000 annually, with a hybrid work environment. #J-18808-Ljbffr

Denver, CO; San Francisco, CA; New York, NY At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role We're hiring seasoned engineers to join our teams that work on core platform capabilities, improving our existing systems for extensibility and scalability, and building the future of Gusto's Payroll and Tax systems. As a Gusto Software Engineer at this level, you'll be guiding projects end‑to‑end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. About the Team Payroll is the beating heart of Gusto's business. Pay Group (payroll and tax) teams are responsible for the product, ops, and service components Gusto uses to onboard customers, process payrolls, calculate taxes and deductions, pay and file with tax agencies, and maintain compliance on behalf of the customers. The domain is highly complex and offers the opportunity to engage in system design that simplifies this for customers, both internal and external. Sub‑Teams Tax Accuracy: The Tax Accuracy group is responsible for gathering and maintaining the necessary information for us to pay and file taxes accurately and on time for our customers, and consists of multiple teams that cover various parts of the process. Ledger: This team is building a payroll ledger to track accrual accounting for payroll‑related money movement. This team is starting to support the payroll domain, risk, payments, and accounting. Engine: This team works closely with the payroll compliance team to ensure enablement of compliant pay, such as minimum wage adjustments, regular rate of pay, etc. We enable end‑to‑end success of payroll processing and working with various domain teams such as tax calculations, tax setup, payments, and more. Platform: This team is developing a new platform to be the common interface for interacting with payroll and tax data. The payroll and tax domain is highly complex; our team exists to make it easier for other application teams to interact with the payroll and tax system. We enable application and experience teams to deliver customer value faster by providing a scalable, flexible, performant, and highly understandable platform to integrate with. Day‑to‑Day Responsibilities Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high‑quality work supporting our long‑term goals Design, build, and test the foundation that supports compliant payroll for millions of people Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross‑functional teams Mentor and grow fellow engineers working to create holistic and scalable solutions Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy Improve the productivity and happiness of our teams with the services, tools, and APIs you build Engage in a highly supportive environment working with others to drive productivity and innovation Continuously stay up‑to‑date with advancements in AI and Machine Learning, applying this knowledge to our projects Qualifications At least 15+ years of experience Ability to build maintainable, structured, well‑documented code Strong knowledge of data structures, data modeling, and system design Experience working across 3+ teams, influencing both product and team direction Experience working on platform products which are depended upon throughout the company Experience engineering, designing, building and supporting large scale systems in production An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders Experience operationalizing and scaling large interconnected production systems Experience in complex highly regulated domains, e.g., HR, payroll, taxes, or compliance Experience using AI tools to build, test, and iterate on products quickly Understanding of how to evaluate AI‑driven outputs using clear success criteria A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation Compensation Cash compensation is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Office Expectations Employees who are based in Denver, San Francisco, or New York City will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Diversity & Inclusion Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. #J-18808-Ljbffr