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About the Role

We are seeking a highly skilled and experienced Senior Software Engineer on the Data Platform team to join our fast-paced startup. This role emphasizes backend Python engineering with genuine data platform depth and high comfort with AI-powered workflows. You will own meaningful parts of our data infrastructure while also contributing to core backend Python systems as priorities shift.

Responsibilities

Design, develop, and maintain scalable backend systems using Python for data services, pipelines, and scheduled jobs
Design and ship data orchestration assets, jobs, and sensors using modern workflow tooling
Develop and optimize data models across staging, dimensional, fact, and mart layers
Improve data quality, observability, and reliability for downstream analytics and reporting
Deliver dealer and group-level reporting foundations with reusable, well-tested metrics
Build AI-enabled data workflows, including batch extraction pipelines, evaluation loops, and cost-aware LLM integration patterns
Partner directly with product, finance, sales, and leadership to turn ambiguous asks into production-grade data products
Contribute to broader backend engineering in Python/FastAPI when the business requires it
Lead system design and architecture discussions, ensuring technical scalability and maintainability.
Apply best practices in software development, including testing, CI/CD pipelines, and code quality.
Mentor and guide team members, fostering technical growth and collaboration.
Stay current with technology advancements relevant to our domain, including AI/ML, and evaluate their potential application.

Requirements

5+ years of professional software engineering experience with strong Python fundamentals
Hands-on experience with modern data stack tools such as Dagster, dbt, and a cloud data warehouse (BigQuery, Snowflake, or similar)
Strong SQL and data modeling exposure (dimensional modeling, incremental patterns, data quality testing)
Experience operating in cloud environments (Azure, GCP, or AWS) with production-grade practices: CI/CD, observability, secrets management
Practical experience integrating AI/LLM tooling into real workflows — LLM provider APIs, prompt iteration, eval-minded development, or batch processing at scale
Ability to move between data engineering and general backend engineering with minimal friction
Strong communication and ownership; comfortable working directly with senior cross-functional stakeholders
Experience with API integrations.
Demonstrated ability to mentor and inspire team members.
Excellent problem-solving and communication skills.

Skills

Python
AI-powered workflows
Data Platform
Backend Engineering
Data Services
Pipelines
Scheduled Jobs
Data Orchestration
Workflow Tooling
Data Models
Data Quality
Observability
Reliability
Analytics
Reporting
AI-enabled data workflows
Batch Extraction
Evaluation Loops
LLM Integration
FastAPI
System Design
Architecture
Testing
CI/CD
Code Quality
Mentoring
AI/ML
Dagster
dbt
BigQuery
Snowflake
SQL
Dimensional Modeling
Incremental Patterns
Data Quality Testing
Azure
GCP
AWS
Secrets Management
LLM provider APIs
Prompt Iteration
Eval-minded development
Batch Processing
API Integrations
Hex
Metabase
Looker
Fivetran
Stitch
Identity Resolution
Entity Linking
Customer 360/CDP systems
Automotive Data

Location

Austin

Work Type

Hybrid
Full-time

Experience Level

Senior
5+ years

Salary/Compensations

Competitive with current market rates and reflective of the candidate's experience, skills and qualifications.

Benefits

Equity participation through stock options.
Fully paid health, vision & dental insurance for employees.
Flexible PTO
Free lunches
Parking stipend
Team events

About the Company

The $1.2T automotive industry is a pillar of American culture, representing nearly 5% of U.S. GDP and shaping how people live and move every day.
Today, the industry is at an inflection point. Consumers expect the same speed, personalization, and convenience they experience in modern digital-first industries. At the same time, tighter margins and rising costs are driving a need for operational efficiency beyond what traditional software can support. Together, these shifts create a powerful opportunity to reimagine how dealerships deliver seamless experiences and build lasting customer relationships.
Dealers who modernize how they communicate and operate will unlock efficiency, deepen loyalty, and win long-term relationships. It is time to upgrade automotive retail to the 21st century.
Mia Labs is an investor-backed startup on a mission to modernize dealership operations and transform the automotive consumer experience. Our AI agent, Mia, turns every call or inquiry into an opportunity, improving customer satisfaction and dealership performance through automation that feels human. We are trusted by some of the nation's largest dealership groups and are rapidly scaling our team, product offerings, and customer base.

Equal Opportunity

At Mia, we’re committed to a workplace where everyone is valued, included, and empowered to do their best work. Our strength comes from diverse experiences, perspectives, and skills, and we’re proud to be an equal opportunity employer.
Passionate about the role but don’t tick every box? We’d still love to hear from you, you might be exactly who we need.
Mia is an EVerify employer.