Company Description Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here. Job Description Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL. Administer a cloud data warehouse platform (e.g., Snowflake or similar), including roles/permissions, performance tuning, security, & cost governance. Utilize Git for version control & collaboration throughout the development lifecycle. Help design scalable, reliable, & secure data architectures & models. Must have a Bachelor's Degree in Computer Science, Information Systems, or related & 5 years of experience in a data engineering or data operations position. Qualifications Of experience required, must also have 5 years of experience in each of the following: - Developing & maintaining ETL/ELT pipelines - Utilizing professional SQL development - Professional Python development with code-quality/testing practices - Using version control within the development lifecycle - Working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery) including performance optimization & role-based access/security - Building transformations & models using a data transformation framework (e.g., dbt or similar) - Implementing CI/CD for data code using common tools - Monitoring & optimizing cloud data platform costs - Migrating & loading data from APIs, SaaS applications, & ERP systems (e.g., Oracle or SAP) - Working with ETL tools & relational database platforms; & - Unix-based command-line tools. Experience may be gained concurrently. 100% remote. Apply online at: www.fbin.com/careers Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $160,555 to $193,000 per year. An employee’s actual salary within the range will be based on factors including, but not limited to, relevant education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at fbin.com. Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at fbin.com/careers via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.

• Lead the definition and implementation of the enterprise architectural data vision, enhancing organizational agility and innovation across the Oura data domain landscape designing and enhancing data mesh products. • Serve as a key advisor to enterprise architecture, executive leadership, and cross-functional partners (Data and Analytics, CI/CD, Engineering) to design a roadmap for a unified data platform supporting advanced analytics, reporting, and AI/ML use cases. • Cultivate and guide a community of senior domain and data architects, establishing the enterprise-level reference architectures, principles, and standards they use to execute our objectives. • Drive enterprise-wide transformation by establishing rigorous data modeling, lineage, and quality standards, embedding them into the fabric of Oura's development and operational lifecycles. • Facilitate strategic discussions with global stakeholders to ensure technology investments support overarching business goals, including data sovereignty and residency patterns across global jurisdictions. • Shape high-impact initiatives and RFPs as the primary architecture partner, ensuring every major technology decision aligns with Oura's strategic data vision and long-term operational efficiency.

Role Description As a Credit & Lending Data Engineer you’ll be an early member of a growing team building a pioneering platform in the debt infrastructure space. You will design, build, and launch efficient, scalable, and reliable data pipelines to move and transform data. What You’ll Do - Building databases, data lakes and data ingestion pipelines to integrate customer databases and datasets to our systems - Ingesting financial datasets from external customers, then updating and maintaining accurate and complete data mappings to ensure that our products are displaying high quality data - Monitoring and alerting across our data pipelines in order to make sure that our data ingests are reliable and correct - Translating business goals and stakeholder requirements into new data flows and deliver analytical insights ensuring that the data flows create real business value continuously Qualifications - 3+ years experience in a data engineering role working with credit or lending data - Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc. - Experience working with ETL technologies, such as Databricks, Fivetran, or dbt - Proficiency in writing SQL queries and knowledge of analytical data warehouses such as RedShift, BigQuery, and Snowflake - Some experience with CI/CD automation such as GitHub Actions - Developing APIs and integrating with 3rd party APIs - Bonus: experience in fintech / SaaS / credit analysis / lending Benefits - Remote: we are a remote-first company and are very flexible on hours as long as things get done - Home-office: there’s a $1000 USD home office allowance to set yourself up - Equity: we expect you to have an owner-mentality, and have the equity plan to match - Perks: we offer free lunches weekly and off-site trips - Job satisfaction: we offer autonomy, ample opportunities for mastery, and an opportunity to make a difference for companies around the world

Role Description As Sr. Data Engineer II, you’ll work with a cross-functional team to help design and ingest data from different Object Management Systems that support mission operations for our classified customer. What you’ll do: - Work with AI team members to operationalize data pipelines and ML tasks. - Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. - Present results to a diverse audience in presentation or report form. - Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. - Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas. Qualifications - Minimum 7 years' experience in Data/ML Engineering. - Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience. - Must have an active Secret clearance/T1 background investigation or higher. - Strong Experience with ETL, data labeling, and data preparation. - Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka. - Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+. - Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. - Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders. Requirements - SALARY RANGE: $152,000 - $188,000. - The salary range for this position is determined based on qualifications, skills, and relevant experience. - The final salary offered will be determined based on several factors including: - The candidate's professional background and relevant work experience. - The specific responsibilities of the role and organizational needs. - Internal equity and alignment with current team compensation. - This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include: - Performance-based bonuses. - Company-paid training and/or certifications. - Referral bonuses. - To apply for this position, please submit your resume via the form below or through our careers page: MetroStar Careers . - Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Benefits - Health, dental, and vision insurance. - 401(k) retirement plan with company match. - Paid time off (PTO) and holidays. - Parental Leave and dependent care. - Flexible work arrangements. - Professional development opportunities. - Employee assistance and wellness programs. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter here .