15 batch data engineer jobs at 12 companies in Antioch, 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.
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.
Beast Industries: Produces digital media and consumer goods for MrBeast brands.
8+ YOE8+ years building production data platforms, expertise in batch and streaming pipelines, data modeling, ETL/ELT, reliability, observability, and privacy-safe foundations for AI/ML.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years data engineering experience (1+ year senior/lead), building streaming and batch pipelines, strong Python/Java/SQL, experience with Kafka/Flink/Spark/Kinesis, embedding/vector stores and orchestration tools, bachelor's in CS or equivalent.
BILLNYSE: BILL: Automated financial operations software for small and midsize businesses.
8+ YOELead architecture and delivery of data platform capabilities (ingest, lake, streaming, feature store, query, graph, search). Requires distributed systems, streaming and batch experience, SQL and Python, and technical leadership.
Fable Security: AI-driven platform managing human risk and employee security behavior.
3+ YOE3+ years in data infrastructure or platform engineering; strong real-time and batch processing knowledge; Spark, Kafka, dbt, Airflow; cloud (AWS/GCP); startup environment.
xAI: Develops advanced artificial intelligence systems to understand the universe.
3+ YOE3+ years software engineering experience; expertise in Python,Rust,Scala,Go or Java; experience with data pipelines, realtime and batch processing, and distributed systems.
Hinge HealthNYSE: HNGE: Digital provider of musculoskeletal care and physical therapy
5+ YOE2+ Mgmt5+ years data engineering; 2+ years managing engineering teams; 2+ years building ML platform capabilities; experience with batch & streaming systems and tools such as Kafka, Flink, Spark; proficiency with Python, SQL, dbt, Databricks, and AWS.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
15+ YOE4+ Mgmt15+ years building data integration and platform solutions; experience with RDBMS and NoSQL, Hadoop/Spark, data modeling, real-time and batch pipelines; leadership of distributed platform teams; strong solution architecture and DevOps knowledge.
Oracle, My SQL, Cassandra, HBase, Hadoop, Spark, DevOps, Web Content Accessibility Guidelines (WCAG) 2.2 AA
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
6+ YOE6+ years in AI/ML engineering or applied data science; strong Python in production; ML model development and deployment; data pipelines (ETL/ELT, batch or streaming); APIs and backend systems; experience with LLM-powered systems and agent workflows; familiarity with Spark, Airflow/Dagster, Snowflake/BigQuery.
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.
Member of Technical Staff (Software Engineer, Data Platform)
San Francisco or New York City or Palo Alto
$220k-$405k/yrOnsiteFull Time
Perplexity: AI-powered search engine providing conversational answers with citations.
5+ YOE5+ years software engineering experience (8+ for staff), production data infrastructure and batch/streaming experience, Airflow/Dagster, Python plus another backend language (Go/TypeScript), ML/AI workflow support, data quality and observability knowledge.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
10+ YOE10+ years software development experience building large-scale data platforms using Apache Spark, AWS S3, streaming/batch pipelines; strong distributed systems, API, and architecture expertise; MSc/BS or equivalent; Scrum/Kanban experience.