Data Engineer designing, implementing, and optimizing data pipelines for DeepLight AI. Collaborating closely with a multidisciplinary team to analyze large - scale data.
About the role
- Software Engineer on the Data Platform team at Mia Labs. Focusing on backend Python engineering and building AI-enabled data workflows while modernizing dealership operations.
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
- 4+ 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.
Benefits
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and maintaining scalable ETL pipelines at Satori Analytics. Collaborating with teams to deliver high - quality analytics solutions across various industries.
Data Architect responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms. Enabling scalable data lakes and enterprise analytics for financial services organizations.
Data Platform Operations Support leading data engineering strategy across projects for EXL. Driving innovation and optimization while collaborating with various teams in the organization.
Manager II leading data engineering projects at Navy Federal Credit Union. Overseeing data governance and quality initiatives while managing engineering teams in a hybrid work environment.
Senior Data Engineer building and maintaining data pipelines for cloud and AI solutions at Qodea. Collaborating with ML engineers and focusing on reliability and performance in a cloud - native environment.
Principal Data Engineer responsible for architecting scalable data pipelines and building high - quality data foundations. Collaborating closely with experts to ensure data readiness for advanced analytics.
Senior Data Engineer at Qodea designing scalable data pipelines and infrastructure. Delivering solutions utilizing cutting - edge tools and collaborating closely with teams for impactful results.
Senior Data Engineer designing and maintaining data pipelines for Qodea's global technology solutions. Collaborating with teams to ensure data quality and governance across platforms.
Product Director managing Target's Customer Data Platform. Leading strategy, financials, and team development to enhance guest experience through data - driven initiatives.