95 big data engineer jobs at 46 companies in Berkeley, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
San Francisco or New York City or Seattle or Little Rock
$130k-$197k/yrOnsiteFull Time
LiveRampNew York Stock Exchange: RAMP: Provides a platform for secure data collaboration and identity.
7+ YOE7+ years in software/data engineering; hands-on with Apache Spark, Airflow or Temporal, Dataproc, Kubernetes, Terraform, streaming (Redpanda/Kafka); on-call experience; bachelor’s in CS/Engineering/Math or equivalent.
Monolithic Power SystemsNasdaq: MPWR: Provides energy-efficient integrated power semiconductor solutions for electronics.
Master's in Applied Analytics or Data Science required; senior-level role to collect, cleanse, model, and analyze large datasets, build dashboards and reports, apply ML and RFM analysis, and provide data-driven insights.
DE&A - Core - Big Data Engineering - Hadoop Ecosystem
Pune or Milpitas or Seattle or Princeton or Cape Town or London or Zurich or Singapore or Mexico City
RemoteFull Time
ZensarNational Stock Exchange of India: ZENSARTECH: Global technology firm providing digital transformation and infrastructure services.
8+ YOESenior quant/engineering role: 8+ years in quantitative development/architecture; strong Python (required), C++/Java (preferred); experience with Spark/Hadoop, SQL/NoSQL, cloud platforms (AWS/Azure/GCP), Kafka/Flink; strong quant finance knowledge and model development experience.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
2+ YOE5+ years data/software engineering experience (or equivalent degree+experience), 2+ years data engineering, expertise with big data technologies, SQL, Scala or Python, Airflow, Kafka, and cloud platforms.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
7+ YOE7+ years experience in data analytics/engineering, bachelor's in a quantitative field, proficiency in Java or Python, ETL/data modeling, big data frameworks, and visualization tools; strong communication skills.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
8+ YOE8+ years data engineering experience, strong SQL, Python preferred, expertise with big-data tech (Hadoop, Spark, Kafka, Hive, Airflow), data modeling, and cloud platforms (AWS/GCP).
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
1+ YOEBachelor’s (7+ yrs) or Master’s (4+ yrs) or PhD (1+ yr) experience; building/managing data pipelines, scripting, RDBMS, cloud services, big-data processing, and collaborating with data scientists and stakeholders.
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.
Early Warning Services: Operates payment and risk solutions for the financial industry.
15+ YOE15+ years in software, FinTech, leading cross-functional teams; expert in data engineering, SDLC, cloud, and architectures; hands-on with Java, microservices, big data, and CI/CD.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor's or equivalent experience, 5+ years big data engineering, strong Python/Scala/SQL, Spark/Presto/Hive, Databricks and cloud MPP databases, Airflow, AWS S3, CI/CD, on-call and production operations experience.
MastercardNYSE: MA: Global payment network facilitating electronic transactions and financial services.
Senior-level Big Data engineering experience with Java or Scala, Apache Spark, Hive/Impala, streaming tools (Kafka, NiFi), relational and NoSQL databases, Linux/Shell, strong CS fundamentals, and experience designing high-scale distributed systems.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOEDegree in Computer Science or Information Systems; Master’s with 2 years data engineering experience; at least 4 years in relevant technologies; Python and Java programming; big data (Spark/Kafka); AI/Generative AI experience; containerization (Kubernetes, Airflow); cloud development.
NewsBreak: Local news aggregation platform powered by artificial intelligence.
BS/MS in Computer Science or equivalent; experience with big-data technologies (Hadoop, Spark, Presto, Kafka, Flink), databases, and cloud (AWS). Strong modeling, communication, and mentoring skills; senior-level data infrastructure experience preferred.
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
5+ YOE5+ years data engineering with a Bachelor's or 2+ years with an advanced degree; or 0 years with a PhD. Strong big data, Spark, Hadoop, Python, SQL; Java, REST APIs, and container tech; ML/AI model experience.
Persona: Provides identity verification and fraud prevention software for businesses.
5+ YOE5+ years software engineering experience with data infrastructure or distributed systems; proficiency in Python and familiarity with Go; experience with big-data/streaming (Spark, Kafka, Flink) and Iceberg; leading projects and mentoring engineers.
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
Bachelor’s degree in CS or related field; experience as Software Engineer with big data, data pipelines, visualization; Python, SQL; Databricks, AWS; strong communication and teamwork.