53 big data developer jobs at 34 companies in Hercules, 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.
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.
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.
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.
Chicago or Scottsdale or San Francisco or New York City
$145k-$223k/yrHybridFull Time
Early Warning Services: Operates payment and risk solutions for the financial industry.
8+ YOEBachelor's degree in CS or related,8+ years relevant experience building data platforms,experience with data warehouse, big data, ETL, cloud, AI/ML lifecycle, and delivering production systems.
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.
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.
United States or Colorado or Hawaii or Illinois or Maryland or Massachusetts or Minnesota or New Jersey or New York or Vermont or District of Columbia or Washington or California or San Francisco or Oakland or San Jose or Washington
$139k-$204k/yrRemoteFull Time
TwilioNYSE: TWLO: Cloud communications platform for building customer engagement applications.
5+ YOEBachelor's or Master's in CS/Engineering, 5+ years software development, proficiency in Python/Java/Scala, experience with big data tools (Kafka, Spark, Hive, Hudi, Presto, Airflow) and AWS services, strong problem-solving and communication skills.
Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR EKS
East Palo Alto, California, United States
$165k-$224k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years professional software development, 2+ years design/architecture experience, programming experience, full SDLC experience preferred, Bachelor\u0002s in CS preferred.
AuroraNASDAQ: AUR: Developing autonomous driving technology for trucking and passenger mobility.
1+ YOE1+ years software engineering experience focused on data projects; proficiency in Python/Go/C++; experience with big-data frameworks, cloud data services, SQL, Airflow, DBT; BS in CS/Engineering or equivalent.
6sense: AI platform for B2B buyer intent and revenue prediction.
BS/MS in Computer Science or equivalent experience; strong Big Data experience (Hadoop, Hive, Spark, Flink, Presto, Kafka, etc.), ETL, schema design, SQL, data ingestion/integration, and use of AI coding assistants.
Senior Software Engineer, Apple Services Engineering
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced engineer for building distributed, large-scale data processing systems and platforms using big data technologies to support Apple Services and partner teams.