Design, build, and optimize scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and lakehouse architecture. Collaborate with analytics, product, and engineering teams while developing batch and streaming workflows, integrating data warehouse systems, and using cloud platforms and orchestration tools such as Azure, Airflow, ADF, or Prefect.
This is a remote position.
We are looking for a Data Engineer with strong experience in Databricks, PySpark, and modern Data Warehouse systems. The ideal candidate can design, build, and optimize scalable data pipelines and work closely with analytics, product, and engineering teams.
Requirements
- Strong hands-on skills in Databricks, PySpark, and SQL
- Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines
- Solid understanding of Delta Lake and Lakehouse architecture
- Experience with at least one cloud platform (Azure preferred)
- Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.)
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills:
Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and lead production AI/ML, Generative AI, and data engineering solutions for healthcare analytics and patient safety platforms. Develop full-stack applications, microservices, APIs, data pipelines, dashboards, self-service analytics, RAG systems, and event-driven architectures using cloud-native technologies. Apply engineering best practices including testing, CI/CD, observability, security, and performance optimization. Mentor engineers, lead technical initiatives, and collaborate with product, analytics, business, and platform teams.
Top Skills:
Amazon KinesisAWSAzureAzure Event HubsCi/CdDatabricksDelta LakeGCPGenerative AiJavaJavaScriptKafkaLarge Language Models (Llms)Microsoft FabricMlopsPysparkPythonReactRest ApisRetrieval-Augmented Generation (Rag)SnowflakeSparkSpring BootSQLTypescriptVector Search
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and maintain scalable data pipelines, analytical data models, backend data systems, business rules, metrics, and data sources. Partner with teams across finance, growth, product, customer support, sales, and marketing to support analytical needs and improve data-driven decision-making. Own data engineering problems end to end and help advance organizational data practices.
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
