213 etl engineer jobs at 134 companies in Berkeley, CA
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Senior Software Engineer I (Data Engineer - Spark, Scala, ETL)
San Francisco, California, United States
RemoteFull Time
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
6+ YOE6+ years data engineering (Spark/Scala); 4+ years ETL/Databricks; Azure PaaS; Agile; unit tests; SQL/PLSQL; Git; GenAI tools; OO and secure coding.
Imprint: Provides-branded credit cards and loyalty platforms for consumer brands.
10+ YOE10+ years data engineering experience with platform-level architecture; deep expertise in Snowflake, dbt Cloud, CDC, Airflow, reverse ETL, SQL, and Python; strong governance, observability, and leadership skills.
Airwallex: Global financial platform for business payments and money management.
8+ YOEBachelor's in CS/InfoSec, 8+ years as a software engineer, production code experience, Python and systems language (Golang/C/C++), Kubernetes/serverless/ETL experience, strong communication and autonomy.
Kubernetes, serverless, ETL, Python, Golang, C, C++, Linux
ZoomLogi: AI-native platform for managing critical healthcare logistics.
2+ YOE2+ years in customer-facing engineering/implementation roles; strong Python and TypeScript/React skills; experience with APIs, ETL, webhooks, integrations, data modeling, and production debugging; comfortable on-site with customers and frequent travel.
Python, TypeScript, React, Kafka, AWS, Google Slides, APIs, ETL, webhooks
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
15+ YOE15+ years software development, BS in CS or equivalent, deep distributed systems and multi-tenant compute experience, leadership on cross-functional initiatives, expertise in latency and utilization optimization.
Sr. Engineer II, Sensor - Sensor Performance Engineering (Hybrid)
Sunnyvale or Austin or Redmond
$160k-$250k/yrHybridFull Time
CrowdStrikeNASDAQ: CRWD: Provides cloud-native endpoint protection and cybersecurity services.
10+ YOE10+ years Windows kernel/kernel-mode or deep systems engineering; expert with WPA/xperf/ETW/WPP/ETL analysis; strong Windows kernel API knowledge; experience with large-scale performance investigations and customer escalations.
TikTok: Global short-form video hosting and social media platform.
BS/MS in CS or equivalent; experience with Hadoop, Hive, Spark, Presto, Kafka, ClickHouse, Flink; ETL, data ingestion, schema design and SQL; big data system architecture experience.
Stuut: Automates business accounts receivable and collections through AI agents.
3+ YOE3+ years in a technical customer-facing role; production-quality coding in Python; experience with integrations (ERP/CRM), APIs, ETL/ELT, and enterprise auth; strong communication and problem-solving.
Astreya: Provides managed IT services and digital workplace solutions for enterprises.
3+ YOE3+ years in automation/data/DevOps, strong Python, API (REST/GraphQL) experience, SQL and ETL knowledge, job orchestration (Airflow/cron), data quality and large-dataset handling.
Checkr: AI-powered platform for background checks and identity verification.
5+ YOE5+ years engineering experience building scalable data platforms; proficiency in Python, PySpark, SQL; experience with ETL/ELT, batch and stream processing; familiarity with Kafka, Spark, Iceberg, AWS services.
Shakudo: Develops an operating system for enterprise AI applications.
8+ YOE8+ years engineering experience, 5+ years Kubernetes operation, proficiency in Rust, experience with production infrastructure (physical servers, GPU/DGX clusters), CI/CD, security hardening, observability, and LLM/AI infrastructure.
Lunar Energy: Provides home battery systems and clean energy software.
5+ YOE5+ years in database/systems infrastructure engineering with hands-on Vertica, SQL Server, and PostgreSQL administration; PowerShell and Python scripting; ETL pipeline development; RHEL/CentOS and Windows Server administration; VMware hypervisor experience.
Vertica, SQL Server 2016/2019 Enterprise, PowerShell, Python, PostgreSQL, VMware vSphere/ESXi, RHEL/CentOS 7.x, Windows Server 2016
Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Santa Clara, California, United States
$200k-$380k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
6+ YOEAdvanced degree or equivalent experience in engineering with 6+–12+ yrs experience in AI infrastructure, applied ML/GenAI; experience with agents, SQL/ETL/data modeling, cloud (AWS/Azure/GCP), Python and C++; strong communication.
Quantifind: AI-driven platform for financial risk and fraud detection.
2+ YOE2+ years as a software engineer; platform engineering focus; Scala/Java, PostgreSQL; Spark/MapReduce; REST microservices; ETL pipelines; distributed systems; ML familiarity; startup experience preferred; US work authorization required
Duckbill: SaaS platform for enterprise cloud financial planning and analysis.
Proven experience building data systems and ETL for batch and streaming; strong Python and SQL; experience with data warehouses/lakehouses/OLAP, columnar databases, cloud storage, and data quality practices.
Qualitest: AI-powered software testing and quality engineering services.
5+ YOE5+ years quality engineering experience focused on data platforms; strong SQL, ETL/ELT testing, data validation, Azure experience, and ability to build scalable data quality processes.
Microsoft Azure, Azure OneLake, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, SQL, ETL/ELT Pipelines, Data Warehousing, Medallion Architecture
Pure StorageNYSE: PSTG: Provides all-flash enterprise data storage and management solutions.
7+ YOE7+ years in analytics/data engineering or BI, strong SQL/Python and Snowflake experience, hands-on dbt and ELT/ETL development, CI/CD and data quality frameworks, semantic modeling and AI-enabled analytics.
Slope: Provides an AI-powered B2B payments and credit platform.
5+ YOE5+ years backend experience; strong Node.js/TypeScript and Python skills; strong SQL and relational/database/ETL experience; API and service design; experience productionizing models and working with data science and risk teams.