Software Engineer / Analytics Engineer

Sixth Street•Austin, TX

4h•Hybrid

About The Position

This is a full-time in office (hybrid) role based in our Austin, Dallas or New York offices. This position is part of Sixth Street's growing data analytics team. You will play a pivotal role in how we story-tell with our data—transforming complex information into compelling, actionable insights. We have built, and will continue to build, custom analytics solutions, giving you room for creativity in how data is displayed, visualized, and consumed across the organization. This role requires versatility. While your primary focus will be analytics engineering, you will occasionally wear multiple hats: the data engineering hat when building data pipelines to bring in data needed for dashboards, the software engineering hat to ensure dashboard components are reusable across the company by contributing to our internal libraries, and the infrastructure hat to maintain impeccable CI/CD processes and ensure our stacks are optimized for scalability and performance. About our Product and Stack We are building custom analytics solutions to provide data-driven insights and enable storytelling with data across the firm We are heavily Python / AWS centric, leaning on containerized services and service-oriented-architecture We utilize S3 and Snowflake for our date lake and operational data store solutions We use Airflow for workflow orchestration We use Github Actions for CI/CD We use Cloudformation and CDK for Infrastructure as Code

Requirements

Highly motivated, entrepreneurial, and team-oriented candidates with strong problem-solving skills
Team orientation and influencing skills
High Trust and Integrity
Strategic / Entrepreneurial Mindset
Strong combination of organizational and interpersonal/communication skills

Nice To Haves

5+ years of total experience in software development with 3+ years in Python
Degree in Computer Science or a STEM field
Advanced programming skills with a focus on writing clean, modular and testable code.
Experience working with relational data stores (e.g., Snowflake, Postgres)
Experience with Airflow or similar workflow orchestration tools to manage complex data dependencies and scheduling
Experience with React (or an eagerness to learn) to help build and maintain our custom internal analytics libraries and UI components.
Experience with data visualization tools and building dashboards
Passion for CI/CD and shipping well-engineered code in a repeatable and reliable way
Comfortable working in a Unix shell
Curiosity and hunger to keep learning
Strong sense of urgency; ability to execute quickly and efficiently with strong attention to detail
Strong verbal and written communication abilities
Ability to collaborate effectively across multiple teams, including product and engineering
Strong prioritization and project management skills
Comfort working in a high growth, iterative environment

Responsibilities

Work within an agile team, designing and developing analytics solutions, dashboards, and data visualizations
Collaborate closely with the product team to understand requirements and translate them into impactful data presentations
Full ownership of analytics components and services from design to post-production monitoring
Design and develop high-impact data presentations tailored for executive leadership, ensuring a high bar for UX, visual polish, and narrative clarity.
Build and maintain data pipelines to support dashboard and reporting needs
Contribute to internal libraries to ensure dashboard components are reusable and consistent across the company
Support CI/CD processes and infrastructure to ensure scalability and performance
Work with tools like GitHub, Jira, Docker, Snowflake, Postgres, and various AWS offerings

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