[Hiring] Senior Data and Analytics Engineer @Velir

Role Description

The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include:

• Data Architecture Design
• Data Modeling
• ELT/ETL Development
• Data Quality Assurance
• Scalability Optimization

With a strong emphasis on Databricks as the primary platform, this role is open to US-based applicants only.

Responsibilities

• Data & Analytics Engineering Expertise:
  • Build and maintain the infrastructure and transformation layers that support the storing, movement, and modeling of data.
  • Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
  • Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability.
  • Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders.
  • Deliver meaningful improvements to clients' data infrastructure and analytical capabilities.
  • Provide technical guidance to less experienced engineers.
• Cross-Team Collaboration:
  • Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements.
  • Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches.
  • Create processes and/or documentation templates that help cross-functional teams solve common data problems.
  • Drive data solution improvements that impact the client experience or empower internal stakeholders.
  • Identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues.
• Project Delivery:
  • Ensure that data engineering and analytics engineering projects are delivered on time, within scope, and within budget.
  • Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling.
  • Proactively identify and address technical debt with careful evaluation of development cost.
  • Optimize for predictability and a regular cadence of deliverables.
  • Keep reliability, maintainability, and scalability of client systems top of mind.
  • Identify and prioritize unowned or unglamorous work that enables the broader team to move faster.

Qualifications

• Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing 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.
• Strong proficiency with dbt for data transformation, testing, and documentation.
• Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development.
• Deep knowledge of data warehousing and ELT/ETL processes.
• Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus.
• Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required.
• Familiarity with MLOps techniques and platforms is a plus but not required.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus.

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.

Compensation Range

$160,000 - 175,000 annually. Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

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.