Senior Analytics Engineer
Backend Developer
Senior
Analytics
Apache Airflow
Bigquery
Business Analytics
Business Intelligence
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
DevOps
Digital Marketing
ETL
Fivetran
Informatica
Microsoft
Power BI
Reporting and Analytics
Software Development
SQL
Visual Design
Job Description
Join Velir as a Senior Analytics Engineer, shaping scalable data models and pipelines that produce clear, trusted insights for clients.
Responsibilities
- Lead complex technical implementations across data architecture and transformation pipeline development with a focus on performance, maintainability, and reusability.
- Drive dbt engineering standards for development, testing, and CI/CD; mentor peers through code reviews, pairing, and technical guidance.
- Contribute to internal tooling, shared dbt packages, and scalable analytics engineering frameworks used across teams and clients.
- Partner with analysts, engineers, and stakeholders to convert complex and ambiguous business requirements into well-structured data models and semantic layers.
- Act as a technical and strategic advisor for cross-functional planning by balancing stakeholder needs, data governance, and long-term scalability.
- Demonstrate strong communication and mentorship by helping other AEs and cross-functional teammates gain clarity and confidence in data architecture decisions.
- Own end-to-end delivery of analytics engineering workstreams, ensuring solutions are reliable and well-documented and aligned with client objectives.
- Identify and resolve systemic data quality or modeling issues with durable fixes that improve trust and efficiency across the stack.
- Support 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 is required.
- Expert proficiency in data modeling approaches and philosophies, including Kimball and OBT.
- Expert proficiency with at least one cloud data warehouse, such as Snowflake or BigQuery.
- Expert proficiency with version control and git.
- Knowledge of common data integration patterns, such as CDC and ELT.
- Knowledge of common data integration or orchestration platforms, such as Fivetran, Dagster, and Apache Airflow.
- Professional proficiency in English for verbal and written communication.
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 efficiently.
- Experience using AI or automation tools to enhance analytics engineering workflows, including testing, documentation, or performance optimization.
Compensation
- USD 135,000 - 150,000 per year
- Compensation packages are finalized after the interview process; base pay uses a competency-based approach based on demonstrated skills for the role.
Location
- New York, NY (remote)
Physical Requirements
- Frequent sitting at a desk performing work on a computer
- Reasonable accommodations may be made for individuals with disabilities to perform 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
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