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Data Engineer Two Jobs in California (NOW HIRING)

Data Engineer

San Mateo, CA

$130K - $156K/yr

Looking for Junior Data Engineer with 1-2 years of experience Data Engineering & ETL Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and deliver data ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Client Note: Accelerate ... 2. 3+ years of solid Java and 2+ years experience in design, implementation, and support of ...

Data Engineer

Carlsbad, CA

$118K - $142K/yr

Data Engineer LOCATION:Carlsbad, CA Duration: 6 to 12+ months Rate ... DOE Required: 1. Proficient with Spark, Hive and BigQuery 2. Should know how to work with Airflow ...

Work with us to use data for good. Join us. The world can't wait ... You Have: * 2+ years of experience writing software in programming languages, including Python * 2+ ...

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Preferred * 2+ years of experience in data engineering, data science, or related areas. * Experience integrating and tuning 3rd party AI agents. * Able to leverage AI code development tools such as ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Client Note: 1. Experience ... 2. Experience building and/or maintaining machine learning models and pipelines. Description:

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION: Sunnyvale CA Duration: 6 to 12+ Months Rate: DOE Description: Job Duties ... and 2+ years experience in design, implementation, and support of solutions big data solution in ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Mountain View, CA (Hybrid 3days onsite, 2 days remote) Responsibilities: * Design, develop, and maintain scalable and reliable data pipelines to support the growing data needs of the organization.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You Have: * 2+ years of experience with ETL operations or pipeline development and integration

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION: Sunnyvale, CA Duration: 6 to 12+ Months Description: A ccelerate migration ... and 2+ years experience in design, implementation, and support of solutions big data solution in ...

Data Engineer

Jamul, CA

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia ... You Have: * 2+ years of experience with ETL operations or pipeline development and integration

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Data Engineer Two information

What engineer makes 500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other benefits.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What is the 3 month rule for jobs?

The 3 month rule for jobs generally refers to the expectation that new employees, including Data Engineers, should demonstrate their value within the first three months of employment. It is often used as a probationary period to assess performance, adapt to the company's tools and processes, and determine long-term fit. During this time, gaining proficiency with data pipelines, cloud platforms, and relevant skills is crucial.

What engineers make 300,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, cloud platforms, and strong programming knowledge can earn salaries of $300,000 or more annually. These roles often require specialized certifications and leadership responsibilities in large organizations or high-demand industries.
What are popular job titles related to Data Engineer Two jobs in California? For Data Engineer Two jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Engineer Two jobs? Cities in California with the most Data Engineer Two job openings:
Data Engineer

$130K - $156K/yr

Other

Posted 3 days ago


Job description

Looking for Junior Data Engineer with 1-2 years of experience


Data Engineering & ETL


Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and deliver data across the enterprise

Optimize pipeline performance, reliability, and monitoring; implement alerting for data quality issues and failures

Work with structured, semi-structured, and unstructured data sources (APIs, databases, flat files, streaming)


Azure & Cloud Infrastructure


Hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL

Deploy and manage cloud-based data infrastructure; leverage Azure DevOps for CI/CD of data workflows

Apply cloud cost optimization best practices and enforce security/governance standards (RBAC, encryption, compliance)


Data Modeling


Design and implement dimensional and relational data models (star/snowflake schemas, normalized models) to support analytics and reporting

Collaborate with data architects and business stakeholders to translate requirements into logical and physical data models