57 big data engineer jobs at 35 companies in Pinole, CA
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Senior Big Data Engineer
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.
Front: Customer operations platform for collaborative team communication.
5+ YOE5+ years data engineering/ETL experience, Snowflake, advanced SQL and Python, experience with big data technologies and workflow tools, BS/BA or equivalent, strong stakeholder collaboration and AI fluency.
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.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
8+ YOE8+ years in product or web analytics domains; advanced SQL and big-data tech, BI tools, Python/Java/Scala, experience architecting data platforms and pipelines, strong communication and business acumen.
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.
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
8+ YOE8+ years designing large-scale distributed systems; expertise in storage, metadata, data lakes, ML/AI workloads, and big data technologies. Requires Java, Scala, or Python proficiency and a relevant bachelor's degree or equivalent experience.
GEICO: Provides vehicle and property insurance services to consumers.
3+ YOERequires 3+ years in analytics and SQL, programming language experience, source control or DevOps experience, cloud or big data exposure, and a BA/BS degree or equivalent experience.
Microsoft Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, Python, R, SAS, .NET, M, DAX, Snowflake, Hive, Spark, Hadoop, Azure, AWS, Tableau, DevOps
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.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
2+ YOE4–6 years big data experience preferred; 2+ years data engineering; experience with cloud data platforms (GCP/Azure), Spark/PySpark, SQL, Java/Python/Scala, Kafka, containerization, and full-stack systems.
Practice Customer Engineer, Data Analytics, Google Cloud
Sunnyvale or Atlanta or Austin or Boulder or Chicago or Kirkland or Los Angeles or New York City or Seattle or San Francisco or Portland or Phoenix or Playa Vista
10+ YOEBachelor's degree or equivalent, 10 years in cloud-native architecture, Big Data expertise, technical stakeholder engagement, and programming experience with Python, Spark, or SQL.
Google Cloud, Python, Spark, SQL, Informatica, Talend, Alooma, SAP, Data Services, Java, JavaScript, C++, Scala, R, Go, DNS, TCP, Linux, Microsoft Windows, VPN, VPC
GuidewireNYSE: GWRE: Provides a software platform for property and casualty insurers.
5+ YOE5+ years data-platform engineering experience; deep Java/Scala and distributed-systems expertise; experience with Kubernetes, AWS, Docker, Terraform/CloudFormation and modern big-data stack.
Rippling: Unified platform managing workforce HR, IT, and finance operations
6+ YOE6+ years backend engineering experience; experience with distributed systems, distributed processing engines, big data technologies, mentoring developers, and building data platforms.
Python, MongoDB, CDC, Kafka, Aurora, Trino, Presto, Pinot, Iceberg, Flink, Rippling Query Language (RQL), Microsoft 365
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.
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.
San Francisco or Seattle or Sunnyvale or New York City
$131k-$285k/yrOnsiteFull Time
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
2+ YOEComputer science degree or equivalent, 2+ years industry experience at I4 or 5+ years at I5, AI coding tool proficiency, and experience building scalable big data infrastructure and governance.