Senior Big Data Engineer

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description About the Role We're looking for a Senior Data Engineer to join our Finance BI team and help shape the future of data-driven decision making across IFS. In this role, you'll design, build, and operate trusted finance data products and scalable data pipelines that power financial reporting, forecasting, planning, ARR analytics, executive dashboards, and emerging AI-driven insights. You will work at the intersection of finance, analytics, and modern cloud data engineering, partnering closely with Finance leaders, analysts, IT teams, product organizations, and external partners to transform complex operational and financial data into high-quality, analytics-ready solutions. The ideal candidate is a hands-on data engineering professional who combines strong technical expertise with a practical understanding of business reporting, data governance, and enterprise-scale analytics. What You'll Do Design, build, test, and maintain scalable data pipelines across finance and enterprise source systems. Develop and optimize ELT/ETL processes using modern cloud data platforms and engineering best practices. Create curated, analytics-ready datasets and data models for Power BI,forecasting, planning, and executive reporting. Implement data quality frameworks, reconciliation processes, validation controls, and monitoring capabilities to ensure trust in reporting outputs. Support strategic Finance BI initiatives, including ARR by Product reporting, personnel planning, finance dashboards, forecasting solutions, and otherreporting programs. Partner with analysts and business stakeholders to understand reporting requirements, metric definitions, and analytical use cases. Optimize the performance, reliability, scalability, and usability of datasets, semantic models, and analytics pipelines. Apply data security, governance, access management, and documentation standards aligned with enterprise best practices. Contribute to DevOps, CI/CD, testing, deployment, and release management processes. Support AI, Copilot, and agent-based analytics solutions through well-governed, reusable, and trusted data assets. Qualifications Required Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, Finance Technology, or a related field, or equivalent practical experience. Typically 5+ years of experience in data engineering, analytics engineering, business intelligence, or data platform delivery. Strong hands-on experience designing and building enterprise data engineering solutions. Advanced SQL skills and experience working with complex financial, operational, or business-critical datasets. Strong Python experience for data transformation, automation, orchestration, and pipeline development. Experience building and supporting production-grade data pipelines on Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or comparable cloud data platforms. Solid understanding of dimensional modeling, semantic layers, data governance, lineage, data quality frameworks, and production support practices. Experience supporting Power BI datasets, semantic models, or enterprise reporting environments. Ability to translate business requirements into scalable and maintainable data solutions. Strong analytical thinking, problem-solving, documentation, and stakeholder communication skills. Preferred Qualifications Experience with Spark, PySpark, Delta Lake, lakehouse architectures, or medallion data design patterns. Experience working with Finance, FP&A, SaaS metrics, ARR reporting, ERP systems, or planning and forecasting data. Hands-on experience with Azure DevOps, Git, CI/CD pipelines, and modern software engineering practices. Exposure to AI-enabled analytics, Microsoft Copilot, semantic model optimization, or data agents. Understanding of data privacy, financial controls, risk management, and governance requirements in enterprise environments. What Makes You Successful Strong sense of ownership and accountability for delivering high-quality solutions. Passion for data quality, accuracy, and continuous improvement. Ability to simplify complex data challenges into scalable solutions. Strong collaboration and stakeholder engagement skills. Automation-first mindset with a focus on operational excellence and efficiency. Comfortable working in a fast-paced, cross-functional environment where business impact matters. Additional Information What We’re Offering Salary Range:$78,000 to $98,000 annually + bonus Flexible paid time off, including sick and holiday 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer #J-18808-Ljbffr