Senior Software Engineer (Data Platform)
Austin Office · Austin, Texas, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require visa sponsorship to work in the United States?
From the employer’s application form
What you’ll work on
Full postingWe're hiring a Senior Software Engineer to join our Data Platform team.
Build and maintain OEM billing integrations with partner APIs, HubSpot and file feeds
Reconcile billing outputs so every number is correct
Build, maintain and debug dbt models and dashboards
Design and improve data platform alerting
Contribute to backend Python systems when priorities shift
From the employer’s posting
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.
build and maintain integrations with partner APIs, HubSpot, and file-based data feeds
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
Contribute to our backend python systems when priorities shift
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Redshift
- Snowflake
- Dagster
- FastAPI
Source — Tool mentions in context
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
- 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.
- Billing, invoicing, revenue ops, or partner data-feed experience. - FastAPI or async Python web services. - CRM API experience (HubSpot or Salesforce).
- 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.
- 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.
- 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.
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).
About Mia Labs
Mia is the AI communication platform for car dealerships.
In the employer’s words · Read in context · Company website ↗
Posting record
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- Live
- First seen by us
- Sep 24, 2026 · 35 days ago
- Recorded sightings
- 21
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 22, 2026
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Job description
About Mia Labs
Mia is the AI communication platform for car dealerships. We answer and act on every inbound call, text and web lead so dealers stop losing service appointments and sales to voicemail. Franchise dealers and some of the largest dealer groups in the country run on Mia.
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.
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, Texas, United States
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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