The Role Designs, architects, and supports cloud and on-premises data infrastructure. Builds scalable batch and real-time data pipelines, data APIs, and delivery services for analytics and machine learning. Establishes enterprise data management practices covering master data, metadata, quality, and lineage. Collaborates with engineers, data scientists, analytics teams, and business stakeholders in an agile environment while evaluating tools and expanding platform capabilities. Summary Generated by Built In Job Family IT Operations About Us At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests. Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment — one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there. Who We Are We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life . Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them. We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good — for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms. What We Do Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate , which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs. Transamerica employs nearly 7 ,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.

• For more information, visit transamerica.com . Job Description Summary The Senior Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise. Job Description Responsibilities Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment. Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools. Design robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data. Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications. Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage. Qualifications Bachelor's degree in computer science, math, engineering, or relevant technical field Four years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration, and data integration concepts and methodologies Three years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments Two years of experience architecting, building, and administering large-scale distributed applications Two years of experience with Linux operations and development, including basic commands and shell scripting Two years of experience with execution of DevOps methodologies and continuous integration/continuous delivery Expertise in SQL for data profiling, analysis, and extraction Familiarity with data science techniques and frameworks Creative thinker with strong analytical skills Results oriented with a strong customer focus Ability to work in a team environment Strong technical communication skills Ability to prioritize work to meet tight deadlines Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables Preferred Qualifications Master's degree in a technical field (e.g. computer science, math, engineering) Solid understanding of big data and real time streaming analytics processing architecture and ecosystems Practical experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code Experience with advanced analytics and machine learning concepts and technology implementations Experience with data analysis and using data visualization tools to describe data Relevant technology or platform certification (AWS, Microsoft, etc.) Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js) Working Conditions Office Environment Occasional Travel