85 analytics data engineer jobs at 34 companies in Gustine, 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.
G3 Enterprises: Provides packaging and logistics solutions for the beverage industry.
3+ YOE3+ years experience in analytics engineering or related field, strong SQL, Databricks/Delta Lake proficiency, data modeling and governance experience, bachelor\u0002s degree preferred.
Databricks, Delta Lake, Databricks SQL, Unity Catalog, MicroStrategy, Power BI, Tableau, Looker, Git, Azure, AWS, GCP, SAP HANA, SQL
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
8+ YOELead data science and analytics organization; eight+ years in analytics with product/engineering collaboration; leadership experience; strong communication and strategic impact.
ArloNYSE: ARLO: Provide wireless smart home security cameras and monitoring services.
4+ YOE4-6+ years as a Data Engineer or analytics-focused role; strong SQL; experience with Databricks; knowledge of BI concepts, data modeling, and production pipelines.
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.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
7+ YOE7+ years data engineering experience with deep data modeling and warehouse/lakehouse design; advanced SQL; Python; experience with Snowflake/Databricks/BigQuery; orchestration tools; data governance.
FloQast: Cloud-based platform for automating monthly financial close processes.
3+ YOE3+ years in data integration/analytics; SQL, Python; Excel; large CSV/TSV; data modeling, validation; strong cross-functional communication; comfortable with ambiguity; production-ready mindset.
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.
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.
TikTok: Global short-form video hosting and social media platform.
BS/MS in Computer Science or equivalent; experience with Hadoop, Hive, Spark, Kafka, Flink, ClickHouse and other big data technologies; ETL, data modeling and SQL skills; data ingestion and integration experience.
BILLNYSE: BILL: Automated financial operations software for small and midsize businesses.
8+ YOE8+ years data engineering experience, expert SQL and strong Python, experience with dbt/Airflow and modern warehouses (Snowflake/Trino/Starburst), ETL/ELT design, warehouse administration, mentorship, and US work authorization.
AI Engineer / Data Scientist, AI Experienced Associate
Chicago or Stamford or Los Angeles or Washington or Boston or Detroit or New York or Florham Park or Dallas or San Francisco or San Jose
$63k-$142k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
1+ YOEBachelor's degree,1+ year experience in AI/ML development or testing,experience with data wrangling,model development and deployment;cloud/data platform credentials preferred.
AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
Hark: An AI focused on next-generation multimodal intelligence and hardware-enabled interfaces.
5+ YOELead data engineering for scalable multi-modal pipelines; 5+ years in data engineering; strong infra experience with Spark/Beam/Flink; collaborate with researchers and engineers.
San Francisco or San Jose or New York City or Seattle or Austin or Washington or California or Massachusetts or New Jersey or Washington or United States
$140k-$213k/yrRemoteFull Time
Thumbtack: Online marketplace connecting homeowners with local service professionals.
2+ YOE2+ years in data science/analytics/economics, stakeholder management, experiment design and analysis, expert SQL, degree in a technical field (statistics, CS, math, engineering, OR, economics).
Manager, Data Science - Consumer Identity Machine Learning
San Jose or McLean or New York
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
Strong data science and ML skills; experience with large-scale data, Python, Spark; collaboration with product/engineering; open-source and cloud experience; multiple degree options with required years of analytics experience.
Figure: Develops autonomous humanoid robots for commercial and residential tasks.
6+ YOE6+ years in data quality or vendor management, experience selecting/contracting/managing external data vendors, negotiating commercial terms, setting SLAs and calibration/audit processes, and partnering with engineering/ML stakeholders.