Senior Software Engineer (Data Platform)

Mia; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity participation

Fully paid health, vision & dental

Flexible PTO & hybrid (3 days/week in‑

Free lunches & parking stipend

Job summary

Mia is hiring a Senior Software Engineer to join our Data Platform team in Austin. You will own OEM billing pipelines, dbt models, dashboards, and data alerting, while contributing to core backend systems as priorities shift.

Role demands strong Python and SQL skills, API integrations, and high ownership. You will work hybrid from downtown Austin and collaborate across product, data, and engineering teams.

Qualifications

• 5+ years of professional software engineering with strong Python fundamentals.
• Strong SQL and data modeling: read a dbt DAG, fix models, reason about grain and joins.
• Experience integrating with external APIs and files, including retries, idempotency, and reconciliation.
• High ownership and attention to detail; follow issues through to resolution.
• Familiarity with AI-assisted coding tools (Claude Code, Cursor, Copilot).
• Based in Austin and able to work from our downtown office.

Responsibilities

• Own OEM billing end-to-end: build and maintain integrations with partner APIs and data feeds, ensure accuracy of numbers.
• Build, maintain, and debug dbt models and dashboards as needs arise.
• Design and improve alerting across the data platform to surface issues early.
• Drive data platform reliability, quality, and tooling improvements.
• Contribute to backend Python systems as priorities shift.
• Address edge cases and discrepancies; billing accuracy is part of the role.

Skills

Python

SQL

API integration

AI-assisted coding

High ownership

Attention to detail

Tools

dbt

Dagster

Airflow

BigQuery

Snowflake

HubSpot API

Salesforce API

Job description

The Opportunity

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. At the center of this ecosystem are dealerships—trusted local businesses that help consumers navigate one of the most important purchases they make.

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.

About Mia

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.

ABOUT THE ROLE

We're hiring a Senior Software Engineer to join our Data Platform team. This role blends backend Python engineering with real data platform depth. You'll own our OEM billing pipelines, dbt models and dashboards, and data alerting, and you'll pick up backend work in our core systems as priorities shift. Much of the billing work is integration work: partner APIs, CRM data, and reconciling outputs where precision matters. This is a high-ownership role for someone who is comfortable working with AI day to day.

WHAT YOU'LL DO

• Own OEM billing end-to-end: build and maintain integrations with partner APIs, HubSpot, and file-based data feeds, and reconcile outputs so every number is correct.

• Build, maintain, and debug dbt models and dashboards as business needs come up.

• Design and improve alerting across the data platform so issues surface before they reach customers or finance.

• Drive data platform improvements: reliability, data quality, and tooling that makes the rest of the team faster.

• Contribute to our backend python systems when priorities shift.

• Chase down edge cases and discrepancies on your own. Billing correctness is part of your job.

WHAT WE'RE LOOKING FOR

• 5+ years of professional software engineering experience with strong Python fundamentals. You've shipped and owned production backend services or integrations, not only notebooks or SQL.

• Strong SQL and data modeling: you can read a dbt DAG, fix a broken model, and reason about grain and joins.

• Experience integrating with external APIs and files, including retries, idempotency, and reconciliation when the two sides disagree.

• High ownership and attention to detail. You follow issues through to resolution without being asked.

• Use AI to code (Claude Code, Cursor, Copilot, or equivalent). This is how we work, and you have informed opinions on the pros and cons of agentic workflows.

• Based in Austin and able to work from our downtown office.

NICE TO HAVE

• dbt in production plus an orchestrator (Dagster preferred; Airflow or Prefect experience transfers).

• Cloud data warehouse experience (BigQuery preferred; Snowflake or Redshift transfers).

• Billing, invoicing, revenue ops, or partner data-feed experience.

• FastAPI or async Python web services.

• CRM API experience (HubSpot or Salesforce).

Why Mia

• Equity participation through stock options.

• Fully paid health, vision & dental insurance for employees.

• Flexible PTO and hybrid schedule (3 days / week in downtown Austin).

• Free lunches, parking stipend provided, team events, and a casual, but get things done culture.

Compensation

• Compensation for this position will be competitive with current market rates and reflective of the candidate's experience, skills and qualifications.

Our Commitment

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.

Mia is an EVerify employer.