Data Engineer lV

Job Description

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Data Pipeline Management Design, develop, and maintain scalable data pipelines Implement ELT processes to ingest data from various internal and external sources Ensure data quality and reliability across all data pipelines Stakeholder Management Collaborate with key stakeholders (technical and non-technical) to understand data requirements and translate them into technical specifications Provide regular updates to stakeholders and ensure alignment with project/task goals Data Analysis and Transformation Develop scripts for data retrieval, transformation, and enrichment Utilize various tools and languages such as SQL, DBT, Python, Airbyte for data processing tasks Implement automation for repetitive data management tasks Collaboration and Communication Work closely with Data Analysts, Platform Owners, and other Engineering teams Participate in code reviews and promote best practices for data engineering Document data processes, systems, and standards Proficiency in SQL, Python, and/or other relevant programming languages Experience with DBT and similar data transformation platforms required Experience with Airflow or similar data orchestration tools required Familiarity with data warehouse solutions (e.g., Snowflake, Redshift) required Proven ability to work autonomously and manage workload effectively Proven experience working with cross-functional teams Familiarity with iPaaS solutions (Workato, Celigo, MuleSoft) a plus Experience with enterprise business applications (Salesforce, NetSuite, SuiteProjects Pro, Jira) a plus Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related services a plus 3-5 years of experience in data engineering or related field Show more Show less