Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.
- Your team will develop datasets that enable data visualization, machine learning and data driven decision making across client product line
- Working with structured and unstructured datasets and automating data pipelines to ingest, analyze, validate, normalize and clean data in a hybrid multi-cloud environment
- Building data ingestion pipelines from multiple data sources using Data Bricks and Apache Spark
- Partnering with analysts, solution architects, modelers and developers to build data product and data pipelines.
- Providing technical and thought leadership
Requirements
- Strong T-SQL Skills with experience in Snowflake
- Familiarity with CI/CD methods
- Significant experience in Python development
- Highly proficient at PySpark development
- Solid grasp of database engineering and design principles
- Current Databricks Certification
- Experience in building business stakeholder relationships at all levels, leadership communications and managing project delivery from design to launch
Benefits
- Education Assistance/Student Loan Repayment - up to $2400 annually
- Remote work allowance
- Internet reimbursement
- Bench pay
- Profit share
- Healthcare reimbursement
- 401k - 4% match
- Short-Term disability
- Long-Term disability
- Life Insurance
Similar Jobs
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Lead complex data analyses, develop statistical models, write advanced SQL, build data models and dashboards, and establish technical standards for analytics. Mentor analysts, troubleshoot data quality and modeling challenges, partner with data engineering, translate ambiguous business questions into rigorous analyses, and communicate findings to senior stakeholders. Own the analytics function’s technical roadmap while ensuring data privacy and security practices.
Top Skills:
A/B TestingCcpaData ModelingData WarehousingDatabricksETLGdprLookerPower BIRegression AnalysisSnowflakeSQLTableau
Information Technology
Designs and delivers Microsoft Fabric, Azure AI, Power BI, and generative AI architectures for enterprise clients. Leads solution design, prototyping, implementation readiness, governance, quality assurance, and client enablement across complex engagements. Develops AI solution patterns including RAG, vector search, embeddings, semantic search, and prompt orchestration. Leads project and client teams, supports business cases and proposals, reviews technical deliverables, manages risks, and serves as a trusted technical advisor.
Top Skills:
AzureAzure AiAzure Ai SearchAzure OpenaiCi/CdCopilotEltEmbeddingsGenerative AiMicrosoft FabricOnelakePower BIPrompt EngineeringPysparkPythonRbacRetrieval-Augmented GenerationSemantic SearchSparkSQLVector Search
Cloud • Information Technology
Designs and implements Google Cloud database migration strategies, including architecture, data models, database objects, pipelines, orchestration, security, and data transfers. Advises customers on Cloud Spanner and Cloud SQL implementations, translates SQL and stored procedures, configures Google Cloud components, performs performance testing, resolves performance issues, and delivers technical workshops and architectural recommendations.
Top Skills:
Cloud SpannerCloud SqlCockroachdbGCPMySQLOraclePostgresSQL
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
