Staff Analytics Engineer

Jobtailor; Austin (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Jobtailor in Austin, TX seeks an experienced Analytics Engineer to own end-to-end data product implementations for external customers and to set technical direction for the analytics engineering team. You will build scalable data pipelines and analytics models using Python, DBT, and SQL, and create dashboards for stakeholders to gain actionable insights.

The role emphasizes collaboration with engineering, roadmap ownership for data products, and mentoring engineers in a customer-facing,

Qualifications

• 8+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
• Strong experience designing, implementing, and maintaining data pipelines and models.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience working with asset managers, business owners, or financial services data sets is a plus.

Responsibilities

• Own end-to-end implementations for the data products for our external customers.
• Set technical direction and standards for the analytics engineering team.
• Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
• Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
• Prototype new data products to add to our product suite.
• Collaborate with engineering to drive the roadmap for the data products.
• Mentor engineers and own their professional development.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

Skills

DBT

SQL

Python

Data Pipeline Design

GitHub-Based Development

Tools

GitHub

Analytics Dashboards

Job description

• Own end-to-end implementations for the data products for our external customers.
• Set technical direction and standards for the analytics engineering team.
• Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
• Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
• Prototype new data products to add to our product suite.
• Collaborate with engineering to drive the roadmap for the data products.
• Mentor engineers and own their professional development.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

Requirements

• 8+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
• Strong experience designing, implementing, and maintaining data pipelines and models.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience working with asset managers, business owners, or financial services data sets is a plus.
• Excellent problem-solving, communication, and collaboration skills.
• Must be based in Austin, TX.

Core Competencies

Demonstrates expertise in building and maintaining scalable data pipelines and analytics models using DBT, SQL, and Python, while effectively collaborating with stakeholders to deliver actionable insights. Proven ability to mentor engineers and set technical direction for analytics engineering teams.

Highest-signal resume keywords

• DBT
• SQL
• Python
• Data Pipeline Design
• GitHub-Based Development

ATS Optimization Keywords

Hard Skills

• Analytics Engineering
• Data Engineering
• Data Modeling
• Data Product Implementation
• Scalable Data Pipelines

Soft Skills

• Problem-Solving
• Communication
• Collaboration
• Mentoring

Industry Keywords

• Financial Services
• Customer-Facing Role
• Stakeholder Engagement

Tools & Technologies

• GitHub
• Analytics Dashboards