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Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The AV Safety Engineering Analytics Engineer develops data analytics infrastructures, defines metrics for safety assurance, and creates visualizations for automated vehicle technologies, enhancing decision-making through data integration and analysis.
Top Skills:
DockerGitJenkinsJIRAKubernetesNumpyPandasPlotly/DashPoetryPower BIPythonShinySQLTableauTerraform
Big Data • Fintech • Mobile • Payments • Financial Services
The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.
Top Skills:
AWSDbtPythonSnowflakeSQL
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The AI/ML Engineer will focus on integrating AI/ML methods into safety assurance analytics for autonomous vehicles, develop data infrastructure, and collaborate across teams to improve vehicle safety performance using large-scale data analysis.
Top Skills:
AWSGoogle Cloud PlatformJavaLangchainAzurePower BIPysparkPythonPyTorchRScikit-LearnSQLTableauTensorFlow
Flex is building a finance super app for premium business owners — reimagining every single aspect of the financial workflow and financial services for any entrepreneur. The company has grown revenue 25x+ since publicly launching in September 2023 and is on track to achieve profitability by late 2025. Flex is focused on mid-market businesses ($3 - $100M revenue) that are largely overlooked by existing fintech solutions and reliant on slow and outdated regional banks. We are targeting a ~$1T revenue opportunity that is largely up for grabs.
Flex is a fully remote company and this role can be performed from anywhere.
The Role
We are looking for engineers who are excited to be part of our early story and help us build a diverse and vibrant company. As a analytics engineer you will focus on building robust models, ensuring consistency across the models we build for the business, and creating documentation that enables downstream teams to access, understand, and use data effectively. You should have a strong sense of ownership and enjoy taking projects from inception to release. As an early employee, you’ll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture.
What You’ll Do
- Develop and maintain core data models in dbt to support key business metrics and ensure data consistency.
- Collaborate across departments to define business metrics and ensure proper data infrastructure to serve them.
- Ensure downstream teams can access and utilize data effectively by providing comprehensive documentation and support.
- Collaborate with other engineers to ensure we’re providing consistent data across the entire organization.
- Drive data quality initiatives by building monitoring systems and creating processes that guarantee accurate, auditable data.
- Regularly audit and review data models to maintain their relevance and accuracy, ensuring long-term data integrity across the organization.
What You Need
- You have 5+ years of working experience working with data, with a focus on data pipeline tools
- You are an expert with SQL and have deep experience working with modern data transformation tools, such as dbt or similar, to create and manage scalable data models.
- You have experience building and maintaining data pipelines in cloud-based environments such as Snowflake, Redshift, or BigQuery, ensuring data is easily accessible and reliable.
- You enjoy digging into data discrepancies or issues to determine and fix root causes, ensuring high standards of data integrity across the organization.
- You have hands-on experience with data visualization tools (e.g., Looker, Tableau, Power BI) to build or support self-serve dashboards that empower non-technical teams.
- You have an interest in data quality, including the ability to design systems that ensure accuracy and consistency of key business metrics.
- You focus on impact, finding the things you can deliver that deliver the most value for stakeholders.
- You have exceptional communication skills, and are comfortable working independently with executive level team members
- You are humble, highly motivated, and thrive in fast-paced environments
- You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
