Senior Analytics Engineer

Velir is hiring a Senior Analytics Engineer (remote, New York, NY) to lead scalable analytics data models and pipelines that produce clear, trustworthy insights.

Responsibilities

• Lead complex technical implementations, shaping data architecture and transformation pipelines with a focus on performance, maintainability, and reusability.
• Drive adoption of dbt development best practices, including testing and CI/CD, while mentoring peers through code reviews, pairing, and technical guidance.
• Contribute to internal tooling, shared dbt packages, and scalable frameworks that raise the bar for analytics engineering across teams and clients.
• Partner with analysts, engineers, and stakeholders to turn complex and often ambiguous business requirements into well-structured data models and semantic layers.
• Act as a technical and strategic advisor in cross-functional planning, balancing stakeholder needs, data governance, and long-term scalability.
• Communicate and mentor across teams, helping other Analytics Engineers and cross-functional teammates build clarity and confidence in data architecture decisions.
• Lead end-to-end delivery of analytics engineering workstreams, ensuring solutions are reliable, well-documented, and aligned to client objectives.
• Identify and resolve systemic data quality or modeling issues using durable fixes that improve trust and efficiency across the stack.
• Enable sustainable delivery by optimizing performance, reducing technical debt, and contributing to shared standards that scale.

Requirements

• Programming languages such as SQL and Python.
• Business intelligence platforms such as PowerBI and Sigma.
• Expert proficiency in dbt (required).
• Expert proficiency in data modeling approaches and philosophies, e.g., Kimball and OBT.
• Expert proficiency with at least one cloud data warehouse, e.g., Snowflake or BigQuery.
• Expert proficiency with version control and git.
• Knowledge of common data integration patterns such as CDC and ELT.
• Knowledge of data integration or orchestration platforms such as Fivetran, Dagster, or Apache Airflow.
• Ability to communicate in professional proficiency in English, verbally and in writing.

Technologies

• SQL, Python
• PowerBI, Sigma
• dbt, Kimball, OBT
• Snowflake, BigQuery
• git
• CDC, ELT
• Fivetran, Dagster, Apache Airflow

Bonus points

• Strong analytical instincts for spotting patterns, anomalies, and relationships across large, complex datasets.
• Experience with event-driven data pipelines or pub/sub architectures to move and process data across systems.
• Experience using AI or automation tools to enhance analytics engineering workflows, including testing, documentation, or performance optimization.

Compensation

$135,000 - $150,000 USD per year

• Compensation packages are finalized after the interview process is concluded.
• Base pay uses a competency-based approach based on demonstrated skills for this role.

Physical requirements

• Frequent sitting at a desk performing work on a computer.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Core company values

• Take the Long View - Ensure the company is built to last
• Be Courageous - Make the right decisions even when they aren't the easiest decisions
• Be Genuine - Bring honesty and authenticity to all that you do
• Work with Focus + Passion - Display purpose and pride in your work and never stop learning