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The position expands and optimizes data architecture and pipelines, improves data flow for cross-functional teams, and builds robust extraction, transformation, and loading using SQL, Python, and AWS big-data technologies. Responsibilities include creating analytics tools for customer acquisition and operational efficiency, ensuring clean data and reducing fraud risk, collaborating with Executive/Product/Data/Marketing stakeholders, and continuously improving processes through automation and self-education. 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Is “data” your favorite fourletter word? Does the idea of re-designing data architecture to drive the next generation of products excite you?  \nAscent Funding is an award-winning, rapidly growing private FinTech company that is on a mission to revolutionize the way people pay for college. We’re looking for a Senior Data Engineer to join our team in the heart of downtown San Diego, CA (well, virtually during COVID) to drive modern data infrastructure and create actionable, data-driven insights for scalable business growth.  \nWould we be a good fit for you? A few tenets that we hold dear:  \n• Career: We value all our team members and go the extra mile to make sure you receive a career experience that fits your goals.  \n• Collaboration. Our team members and customers bring a variety of backgrounds, experience, and perspectives to our company and culture. We strive to build strong, long-lasting relationships, internally and externally, to partner and grow together.  \n• Curiosity: We don’t always know the right answers or the questions to ask right away, and they change over time. We value curiosity and diligence in driving toward good decisions and testing via experimentation to find proof points and solve problems.  \nObjective: Meaningful insights require a solid infrastructure that can scale with large amounts of data.  \nThe Ascent Senior Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. This high visibility role supports the critical data needs of multiple teams, systems and products.  \nYou must:  \n• Find data thrilling and have the drive to be self-directed, flexible, and responsive – things can change quickly, including systems and methodologies.  \n• Enjoy leveraging data to tell a story that helps direct team efforts for maximum impact.  \n• Be comfortable working in a fast-paced, analytics-driven environment. We like numbers. You like finding patterns in the data and providing actionable insights.  \nIn this role you would:  \n• Create and maintain optimal data pipeline architecture.  \n• Assemble large, complex data sets that meet functional / non-functional business requirements.  \n• Identify, design, and implement internal process improvements: automating manual processes optimizing data delivery, re-designing infrastructure for greater scalability, etc.  \n• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS‘big data’ technologies.  \n• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.  \n• Work with stakeholders including Executive, Product, Data and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.  \n• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.  \n• Work with data and analytics experts to strive for greater functionality in our data systems.  \n• Be proactive to identify systems and processes the improve efficiencies and support greater access to meaningful data that empowers key stakeholders throughout the organization.  \n• Continual self-education to improve techniques and advance our analytics strategy.  \n• Find ways to ensure clean data and reduce risk of fraud.  \nDesired Skills & Expertise:  \n• You could be a fit if you have:  \n▪ Bachelor’s Degree required in Computer Science, Engineering, Statistics, Applied Mathematics, Informatics, Information Systems or another quantitative field.  \n▪ 5+ years of experience in a data engineering role.  \n▪ Enjoy working in cross-funct","cbCaiqBYN39zEugF","https://ap.wps.com/l/cbCaiqBYN39zEugF","pdf",288613,"English","# Responsibilities\n## Data infrastructure and pipelines\n## Analytics and stakeholder support\n# Requirements\n## Education and experience\n## Technical skills","[{\"question\":\"What is the main objective of the Senior Data Engineer role at Ascent Funding?\",\"answer\":\"To create scalable, meaningful insights by expanding and optimizing data and data pipeline architecture, improving data flow, and supporting cross-functional teams with actionable analytics.\"},{\"question\":\"Which technologies does the role emphasize?\",\"answer\":\"The role emphasizes SQL and Python, AWS big-data technologies, AWS cloud services such as EC2, EMR, RDS, and Redshift, and big data pipeline tools like Spark and Kafka.\"},{\"question\":\"What experience and education are required?\",\"answer\":\"A bachelor’s degree in a quantitative or technical field is required, along with 5+ years of experience in a data engineering role, plus strong analytical and strategic thinking skills.\"}]","Ascent Senior Data Engineer Job Description - Senior | PDF",1789317341]