Senior Data & AI Infrastructure Engineer

Position Summary:Company Overview:One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion.Why Join Us?At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here’s what you can expect when you join our team:Innovative Environment : Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech.Professional Growth : We invest in our employees’ growth with continuous learning opportunities, training programs, and career advancement paths.Supportive Culture : Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact.Community Focus : Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation’s financial health.High-Performing Team : Join a team of badasses who are committed to excellence and are integral to our company's expansion and success.Position Overview:The Senior Data Engineer is responsible for leading the transformation of the Company’s technology data lake and analytics platform within the AWS ecosystem. This role is pivotal in enabling Data Science and Advanced Analytics by designing and building the necessary infrastructure to support these advanced capabilities. The Senior Data Engineer works collaboratively with technology, business analysts, and product team members to implement innovative data and AI solutions that drive our next-generation initiatives.We are seeking a dynamic individual who thrives in a fast-paced, transformation-focused environment where creativity and risk-taking are encouraged, but where production stability and quality are also paramount. This is a unique opportunity to be a key contributor to our cutting-edge data analytics and AI development efforts.Essential Duties and Responsibilities:Define and implement a Data Lake reference architecture on AWS.Define the data pipeline and ingestion workflow, incorporating modeling from different data sources and types, including voice recordings.Design and build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS technologies.Build analytics tools that provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics, leveraging modeling techniques for analysis.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Work with stakeholders including Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Create data tools for analytics and business analyst team members that assist them in building and optimizing our product into an innovative industry leader.Provide stewardship to maintain data quality, uphold regulatory guidelines, and data security.Manage the data dictionary, ensuring alignment with AI modeling terminology and standards.Qualifications:5 years of experience in a Data Engineer role, with a degree in Computer Science, Statistics, or Information Systems.Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) and working familiarity with various databases.Experience building and optimizing data pipelines, architectures, and small to medium data sets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement, utilizing AI modeling techniques for comprehensive analysis.Strong analytic skills related to working with structured and unstructured datasets.Build processes supporting data transformation, data structures, metadata, and dependency.A successful history of manipulating, processing, and extracting value from disconnected datasets, with data extraction and pattern recognition.Experience with AWS cloud services: EC2, Lake Formation, Athena, Glue, S3 Storage, IAM; Additionally: Grafana, Docker, Datahub, Salesforce.Demonstrated ability to work with generative AI technologies and broader AI concepts, including ChatGPT API, LangChain, vector databases, SageMaker, and embedding models.Experience with MLOps practices and deploying ML containers is a plus.Excellent verbal and written communication skills, presentation skills, and relationship-building skills, with the ability to convey complex AI modeling concepts to diverse audiences.Spanish speaking is a plus.Benefits:Competitive Salary401k with MatchHealth insuranceDental & Vision InsuranceLife insurancePaid time offOffice SnacksMonthly eventsOPF is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability, or veteran status.

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