Senior Data and Analytics Engineer

About the role

The Senior Data & Analytics Engineer is a hybrid, remote‑first role that blends data‑engineering and analytics‑engineering responsibilities, building scalable Databricks pipelines, dbt models, and data architectures to enable client decision‑making while collaborating with stakeholders and delivering projects on time.

About the company

Velir is a mid-sized agency serving non‑profits to Fortune 500 brands, recently acquiring the Brooklyn Data Company consultancy. It operates as a remote‑first firm that values trust, collaboration, continuous improvement and a positive impact on customers and communities.

Requirements

• Proven experience as a Data Engineer, Analytics Engineer, or hybrid/generalist role focused on data pipelines and transformation layers
• Strong programming skills in Python and SQL
• Hands‑on deep expertise with Databricks, including Delta Lake, Unity Catalog, and Databricks workflows
• Proficiency with dbt for data transformation, testing, and documentation
• Demonstrated experience in data modeling (dimensional modeling, entity‑relationship design, semantic layer development)
• Deep knowledge of data warehousing and ELT/ETL processes
• Familiarity with data integration/orchestration platforms such as Fivetran, Apache Airflow, or Azure Data Factory
• Experience with cloud platforms (AWS, Azure, or Google Cloud)
• Experience with other cloud data warehouses like Snowflake or Motherduck (plus)
• Experience with streaming solutions such as Spark Streaming or Kafka (desirable)
• Familiarity with MLOps techniques and platforms (plus)
• Strong analytical and problem‑solving skills
• Excellent communication and collaboration abilities
• Familiarity with coding assistants such as Claude Code, CoPilot, or Codex (plus)
• Professional proficiency in English, both verbal and written, and eligibility to work in the US