Analytics Engineer II
Key Skills for This Role
Full Job Posting
Responsibilities
- Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.
- Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.
- Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.
- Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.
- Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.
- Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.
- Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.
- Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.
Requirements
- 3+ years of professional experience in analytics engineering, data engineering, or business intelligence.
- 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.
- Experience developing and maintaining data models, pipelines, and reporting datasets.
- Experience working in Agile environments and collaborating with cross-functional teams.
Preferred qualifications include
- a bachelor’s degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience with dbt for data modeling, testing, documentation, and deployment workflows; experience with Git and version control practices; understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools; and exposure to semantic-layer concepts and tools.
Skills
- Apply strong analytical, problem-solving, and data validation skills to develop reliable data solutions.
- Communicate effectively with technical and business stakeholders, including providing clear documentation and project updates.
- Collaborate across Data Engineering, Business Intelligence, and business teams to deliver solutions that meet defined needs.
- Organize and coordinate work effectively across assigned projects while contributing within established engineering and delivery practices.
- #LI-MK1
- We welcome your interest in being a part of our firm. We believe in giving associates progressive opportunities, actively nurturing professional growth and giving back to the community. We are dedicated to building a diverse culture where everyone has the support they need to achieve their career goals. We offer an innovative workplace and a culture that fosters camaraderie, teamwork and work-life balance.
- By submitting your application, you agree to the collection and use of your personal information as described in our Employee and Applicant Privacy Notice .
- EOE M/F/D/V
About Mariner
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