Which cities near San Jose, CA have the most data engineer job openings?

The cities near San Jose, CA that boast the highest number of data engineer jobs are: Concord Santa Clara Sunnyvale Hayward Salinas Fremont Oakland San Francisco Berkeley San Mateo

Which cities near San Jose, CA have the most job openings?

The 10 cities near San Jose, CA that have the most job openings are: Concord Santa Clara Sunnyvale Hayward Salinas Fremont Oakland San Francisco Berkeley San Mateo

What are the most popular job searches in San Jose, CA?

The 10 most popular job searches in San Jose, CA are: city amazon government work from home construction volunteer nurse rn registered nurse security

What are the highest-paying jobs in San Jose, CA?

The highest-paying jobs are: american sign language interpreter ( from $ 70,941 to $ 551,925 year ) investment banker ( from $ 144,400 to $ 249,600 year ) cardiothoracic surgeon ( from $ 174,600 to $ 248,150 year ) forensic pathologist ( from $ 135,000 to $ 244,941 year ) director of software engineering ( from $ 183,000 to $ 240,000 year ) psychiatrist ( from $ 50,000 to $ 240,000 year ) radiologist ( from $ 57,103 to $ 238,613 year ) chief investment officer ( from $ 155,794 to $ 235,505 year ) engineering director ( from $ 151,059 to $ 235,000 year ) product director ( from $ 164,997 to $ 235,000 year )

Which cities in the United States of America offer the highest salaries for data engineer jobs?

The top 10 cities are: Macon, GA ( from $ 84,825 to $ 244,450 year ) Rockford, IL ( from $ 173,350 to $ 215,130 year ) Fayetteville, NC ( from $ 174,100 to $ 212,500 year ) Alexandria, VA ( from $ 119,550 to $ 212,500 year ) Beaumont, TX ( from $ 151,878 to $ 211,761 year ) Worcester, MA ( from $ 88,400 to $ 211,350 year ) Kent, WA ( from $ 117,000 to $ 211,350 year ) Joliet, IL ( from $ 173,350 to $ 211,350 year ) Concord, CA ( from $ 122,500 to $ 211,350 year ) Waco, TX ( from $ 173,350 to $ 211,350 year )

Data engineer Jobs in San Jose, CA

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Data engineer • san jose ca

Last updated: 5 days ago

Data Engineer

Intelliswift Software IncCA - San Jose

Temporary

Data Engineering, Databricks, Pyspark, Apache Airflow, Apache Spark.San Jose, CA (Hybrid • 3 days/week onsite).Design, develop, and maintain scalable and reliable data pipelines to support large-sc...Show more

Data Engineer

Tata Consultancy ServicesSunnyvale, CA

Full-time

Experience in Machine Learning and Deep Learning, including regression,.Natural Language Processing (NLP).Natural Language Processing (NLP).Spacy, NLTK, flair, and sklearn-crfsuite.Strong backgroun...Show more

Data Engineer

PDS Inc, LLCSan Jose, CA, US

Full-time

Quick Apply

Make your impact within a rapidly growing Fintech Company.The Data Operations team builds capabilities and owns practices that enable seamless data usage across the company.The team collaborates wi...Show more

Data Engineer

eTeam IncSanta Clara, California, United States

Full-time

Quick Apply

Job Description: Data Engineer.We are seeking a skilled Data Application Engineer to design, build, and maintain data-driven applications and pipelines that enable seamless data integration, transf...Show more

Lead Data Engineer

QcellsSanta Clara, CA, US

Full-time

This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational s...Show more

Data Engineer

Redfish TechnologyMilpitas, CA

Remote

Full-time

Design, build and launch efficient and reliable data pipelines for ingesting and transforming data 3rd party systems.Optimize data storage, schemas, and data migration approaches.Continually improv...Show more

Senior Data Engineer

Two95 International Inc.Sunnyvale, CA, US

Full-time

Quick Apply

Provide business insights, while leveraging internal tools and systems, databases and industry data.Ability to document requirements, data lineage, subject matter in both business and technical ter...Show more

Data Engineer

eClerxSan Jose, California, United States

Full-time

Location: Florida, Austin, NY, San Francisco, San Jose California, Chicago.Type: Full-time (Hybrid working) .The role involves leveraging data from multiple third-party sources as well as internal ...Show more

Data Engineer

Stellent IT LLCCupertino, CA, United States

Full-time

Quick Apply

Title: Data Engineer [Python, Spark, API, Data Pipelines] Location: Cupertino, CA About the job Data Engineer [Python, Spark, API, Data Pipelines] Contract On-Site at Cupertino, CA &l...Show more

Data Engineer

Intelliswift Software IncCA - San Jose

30+ days ago

Job type

Temporary

Job description

Customer Job

Data Engineer

Job ID: 25-10658

Primary Skills: Data Engineering, Databricks, Pyspark, Apache Airflow, Apache Spark

Location: San Jose, CA (Hybrid • 3 days/week onsite)

Duration: 5 months

Contract Type: W2 only

Pay Rate: $99.13/Hour

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines to support large-scale data processing.
Build and optimize data workflows using orchestration tools like Apache Airflow and Spark to support scheduled and event-driven ETL/ELT processes.
Implement complex parsing, cleansing, and transformation logic to normalize data from a variety of structured and unstructured sources.
Collaborate with data scientists, analysts, and application teams to integrate, test, and validate data products and pipelines.
Operate and maintain pipelines running on cloud platforms (AWS) and distributed compute environments (e.g., Databricks).
Monitor pipeline performance, perform root cause analysis, and troubleshoot failures to ensure high data quality and uptime.
Ensure proper security, compliance, and governance of data across systems and environments.
Contribute to the automation and standardization of data engineering processes to improve development velocity and operational efficiency.

Required Skills

9-12 YOE
Proficient in Python and PySpark for data processing and scripting.
Strong experience with SQL for data manipulation and performance tuning.
Deep understanding of distributed data processing with Apache Spark.
Hands-on experience with Airflow or similar orchestration tools.
Experience with cloud services and data tools in AWS (e.g., S3, Lambda, SQS, Gateway, Networking).
Expertise with Databricks for collaborative data engineering and analytics.
Solid understanding of data modeling, data warehousing, and best practices in data pipeline architecture.
Strong problem-solving skills with the ability to work independently on complex tasks.
Familiarity with CI/CD practices and version control (e.g., Git) in data engineering workflows.