Senior Data and Analytics Engineer

Benefits and culture

Velir supports a remote‑first approach with hybrid options in Austin, TX. The Senior Data and Analytics Engineer role offers a competitive annual salary and excellent benefits, alongside opportunities to influence data strategy across a variety of client engagements using Databricks.

• Remote‑first environment
• Competitive pay
• Excellent benefits
• Hybrid work options in Austin, TX

Responsibilities

• 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—including entities, relationships, and grain—in collaboration with analytics and business stakeholders
• Translate engagement vision into actionable tasks and deliverables
• Regularly deliver meaningful improvements to clients' data infrastructure and analytical capabilities
• Operate autonomously and provide technical guidance to less experienced engineers
• Collaborate with other data engineers, analytics engineers, data analysts, and clients on end‑to‑end data requirements
• Partner with clients and functional managers to plan data engineering and modeling needs for product or feature launches
• Create processes and documentation templates that help cross‑functional teams solve common data problems
• Drive data solution improvements that enhance the client experience or empower internal stakeholders
• Identify, communicate, and solve important problems, coordinating with others on cross‑cutting technical issues
• Architect and design data systems and transformation layers to support iterative delivery and future scaling
• Proactively address technical debt with careful evaluation of development cost
• Improve predictability and establish a regular cadence of deliverables
• Maintain reliability, maintainability, and scalability of client systems
• Prioritize unowned or unglamorous work that enables the broader team to move faster

Requirements

• Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid/generalist role focused on designing and developing data pipelines and transformation layers
• Strong programming skills in Python and SQL
• Hands‑on expertise with Databricks including Delta Lake, Unity Catalog, and Databricks workflows
• Proficiency with dbt for data transformation, testing, and documentation
• 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

Technologies

• Databricks, Delta Lake, Unity Catalog, Databricks workflows
• dbt, Python, SQL
• Fivetran, Apache Airflow, Azure Data Factory
• AWS, Azure, Google Cloud
• Snowflake, Motherduck
• Spark Streaming, Kafka
• MLOps
• Claude Code, CoPilot, Codex

Compensation

Salary range for this role is USD 160,000 to 175,000 annually. Compensation packages are finalized after the interview process and are based on a competency‑based approach aligned with demonstrated skills and capabilities.

Location and work setup

Based in Austin, TX with a hybrid work arrangement and a remote‑friendly posture across client engagements.

Core values

• Take the Long View: build for lasting impact
• Be Courageous: make the right decisions, even when difficult
• Be Genuine: bring honesty and authenticity to all work
• Work with Focus + Passion: stay purposeful, take pride, and keep learning

Physical requirements

Frequent sitting at a desk and working on a computer. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.