Analytics Engineer II
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 22h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 33d ago
The date the source published, not the day we noticed it (2026-08-12). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $158.9k–225k/yr
Middle 50% of 2164 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into scalable data models and datasets in Snowflake using SQL, dbt, and Python while contributing to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders throughout the analytics lifecycle. This opportunity offers hands-on involvement in modern data platforms, semantic-layer development, and the implementation and ongoing support of data products across the organization.
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.
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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