Job description

About ATLAS SP ATLAS SP Partners is a global investment firm that seeks to provide stable funding and capital markets services to companies seeking innovative and bespoke structured credit and asset-backed finance solutions. ATLAS SP’s tenured experts work with clients to determine the best approach to optimize their capital and achieve their goals, across a broad range of capabilities. Our integrated platform encompasses a holistic suite of capabilities, including asset/portfolio advisory solutions, warehouse/acquisition financing solutions, whole loan purchase/sale and securitization/distribution. Our Culture ATLAS SP is “one team” where everyone makes an impact – we grow together, win together, and embrace change together. From advancing the markets to supporting our communities, everything we do serves to make a difference. Our people are industry leaders with a passion for client service, complex problem solving, and innovation. We provide our talent with the pathways to grow professionally and personally in a collaborative and inclusive environment. We’re proud to build upon a legacy of excellence anchored in deep expertise and client service across the asset management landscape. Position Overview ATLAS SP is seeking a data developer to help build out a data ecosystem that enables us to scale our business. You will design and build a foundation to strengthen and scale the existing data model. You will be responsible for collaborating with cross-functional teams to analyze and integrate diverse data sources, ensuring data quality and consistency. You will leverage your expertise in database management, data processing, and analytics to develop and optimize data pipelines, support advanced data modeling, and provide actionable insights through sophisticated reporting tools. Primary Responsibilities • Analyze, rationalize and refactor complex ecosystem of legacy systems • Architect and scale a modern data platform that consumes data from multiple internal sources and vendors • Enhance the data model taking into account industry best practices • Build and maintain scalable ETL pipelines to efficiently process large volumes of data • Work with engineering teams to ensure robust instrumentation across multiple systems • Partner with business stakeholders to understand and deliver business requirements • Implement monitoring systems to ensure data quality • Participate in company-wide Data Governance • Create data tools for analytics and data scientist team members that assist them in building and optimizing the product. Qualification and Experience • Bachelor’s degree in computer science or related field or equivalent work experience • 5+ years of proven experience as a software developer, with exposure to data ETLs. Hands on experience with Python and SQL. • 3+ years of proven experience working with cloud technology (preferably Azure), data models, API integration • 3+ years of data warehousing experience • 3+ years of experience using common BI tools including Tableau, Alteryx, Microsoft Power BI etc. • Experience building and optimizing data pipelines, architectures and data sets. • Agile development experience • Experience supporting and working with cross-functional teams in a dynamic environment. • Strong analytic skills related to working with unstructured datasets. N/A The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here. ATLAS SP is an equal opportunity employer. The firm and its affiliates do not discriminate in employment because of race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other criteria prohibited under controlling federal, state or local law.

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