Note: The job is a remote job and is open to candidates in USA. MeridianLink is a rapidly growing company seeking an accomplished Data Engineer to join their team. This role is responsible for designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data products for internal and external consumers
- Build and optimize batch and near real-time data ingestion, transformation, and delivery processes
- Integrate data from internal and external sources to support business, reporting, and analytics requirements
- 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 efficiency
- Support CI/CD, infrastructure automation, technical documentation, and continuous improvements to data architecture, tooling, and engineering practices
Skills
- 2–4 years of professional experience in Data Engineering, Data Warehousing, or related roles
- 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 platforms)
- 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 Node.js
- Ability to navigate ambiguity, prioritize effectively, and adapt to changing business needs
- Prior experience in financial services or regulated environments is a plus
Benefits
- REMOTE work model
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