meridianlink - Data Engineer

• maintaining data pipelines, and a passion for delivering robust data solutions that enable • analytics and business decision-making. • The Data Engineer will partner with data architects, data analysts, data scientists, and • cross-functional stakeholders to deliver trusted data assets supporting a wide range of • business initiatives. They will ensure efficient and reliable data delivery across multiple • teams, systems, and products in a dynamic environment. • Collaborate with data architects, analysts, data scientists, and business • stakeholders to deliver scalable data solutions and support Sisense dashboards • and analytics assets. • Design and implement data models that support reporting, analytics, and • operational use cases. • Ensure data quality, reliability, and performance through monitoring, validation, • automated testing, and troubleshooting. • Write maintainable, well-documented, and testable code; participate in code • reviews; and leverage AI-assisted development tools to improve quality and • Support CI/CD, infrastructure automation, technical documentation, and • continuous improvements to data architecture, tooling, and engineering practices • 2–4 years of professional experience in Data Engineering, Data Warehousing, or • Strong hands-on experience with Python and SQL for building scalable data • pipelines and transformation logic. • Experience with Apache Spark, Parquet, and Azure Databricks, including • Databricks workflows, Delta Lake, Delta Sharing, and Unity Catalog. • Strong SQL expertise including performance tuning, indexing, partitioning, query • optimization, and stored procedure development. • Solid understanding of ETL/ELT methodologies, data warehousing principles, • and modern data engineering best practices. • Experience designing and implementing data models to support analytics, • reporting, and operational use cases. • Experience supporting or working with BI tools such as Sisense (or similar • Experience with CI/CD pipelines and version control practices (e.g., GitLab, • Jenkins, or equivalent). • Experience working in fast-paced product environments with an emphasis on • delivery, maintainability, and minimizing technical debt. • Strong communication skills with the ability to collaborate across technical and • non-technical stakeholders • Experience building lightweight data applications or internal tools using any of • the following frameworks such as Streamlit, Dash, Flask, Gradio, Shiny, or • Ability to navigate ambiguity, prioritize effectively, and adapt to changing • business needs. • Prior experience in financial services or regulated environments is a plus