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Associate Data Engineer Jobs in Mountain View, CA

Qcells

Lead Data Engineer

Santa Clara, CA · On-site

$160K - $220K/yr

Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent). * Experience enabling analytics teams, data science workflows, or ML pipelines. * Experience implementing ...

Qcells

Lead Data Engineer

Santa Clara, CA · On-site

$160K - $220K/yr

Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent). * Experience enabling analytics teams, data science workflows, or ML pipelines. * Experience implementing ...

Qcells

Lead Data Engineer

San Francisco, CA · On-site

$160K - $220K/yr

Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent). * Experience enabling analytics teams, data science workflows, or ML pipelines. * Experience implementing ...

Walmart

(USA) Staff, Data Engineer

Cupertino, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Fremont, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Mountain View, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

San Jose, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Hayward, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Milpitas, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

San Mateo, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Sunnyvale, CA · On-site

$143K - $286K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

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Showing results 21-40

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Mountain View, CA

Associate Data Engineer information

See Mountain View, CA salary details

$11

$22

$36

How much do associate data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate data engineer in Mountain View, CA is $22.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $23.56 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Mountain View, CA?

The most popular types of Data Engineer jobs in Mountain View, CA are:

What are popular job titles related to Associate Data Engineer jobs in Mountain View, CA?

For Associate Data Engineer jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Mountain View, CA look for?

The top searched job categories for Associate Data Engineer jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Associate Data Engineer jobs?

Cities near Mountain View, CA with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

Lead Data Engineer

Qcells

Santa Clara, CA • On-site

$160K - $220K/yr

Full-time

Re-posted 27 days ago

Qcells rating

6.8

Company rating: 6.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Description

POSITON DESCRIPTION 
 
We are seeking a Lead Data Engineer to architect, build, and lead the development of scalable, cloud-based data platforms that support enterprise analytics, operational reporting, and advanced data use cases. 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 systems, and establishing robust data models within a modern Lakehouse architecture.
 
The ideal candidate brings deep SQL and Python expertise, extensive experience with distributed data platforms, and strong knowledge of data architecture, governance, and performance optimization. This individual will serve as a technical leader and mentor, partnering closely with architects, analysts, application teams, and business stakeholders to deliver reliable, scalable, and well-governed enterprise data solutions.
RESPONSIBILITIES
  • Lead the design, development, and optimization of scalable data pipelines supporting ingestion, transformation, and enterprise-wide data consumption.
  • Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud data platforms.
  • Oversee and optimize data integrations from ERP (NetSuite/SAP), CRM (Salesforce), internal systems, APIs, and third-party data sources.
  • Design and govern high-quality, scalable data models supporting analytics, reporting, operational systems, and advanced use cases.
  • Partner with Data Architects to define and implement Lakehouse patterns, Delta Lake strategies, medallion architecture, and domain-driven design principles.
  • Establish and enforce data quality frameworks, validation standards, lineage tracking, and observability practices.
  • Drive performance optimization, scalability, reliability, and cost governance across cloud environments.
  • Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce engineering best practices.
  • Collaborate cross-functionally with analysts, application teams, and business stakeholders to translate requirements into scalable data solutions.
  • Lead MDM, metadata management, governance, and data standardization initiatives.
  • Oversee CI/CD automation, DevOps integration, testing frameworks, and monitoring strategies for data workflows.
  • Evaluate emerging technologies and recommend platform improvements aligned with enterprise strategy.
MINIMUM QUALIFICATIONS
  • 10+ years of experience in data engineering, data architecture, or related roles.
  • Proven experience leading large-scale data platform initiatives in cloud environments.
  • Extensive hands-on experience with Azure data services (Data Lake, Data Factory, Fabric, Synapse, or similar).
  • Advanced proficiency in SQL and Python; experience with Spark or distributed processing frameworks.
  • Deep experience designing and implementing enterprise ETL/ELT frameworks.
  • Strong expertise in data modeling (dimensional modeling, star schema, lakehouse/Delta modeling).
  • Experience integrating complex enterprise systems (ERP, CRM, operational platforms).
  • Strong understanding of data governance, metadata management, MDM, and data quality frameworks.
  • Experience with performance tuning, workload optimization, and cloud cost management.
  • Demonstrated ability to lead technical teams, conduct architecture reviews, and mentor engineers.
  • Strong problem-solving, debugging, and system design skills.
  • Travel may be required up to 5%, depending on business needs.
PREFERRED QUALIFICATIONS 
  • Experience with Delta Tables, Snowflake, Synapse, or comparable cloud data platforms.
  • Experience with event-driven and streaming architectures (Kafka, Event Hub, streaming pipelines).
  • Familiarity with finance, operations, energy, or ERP-driven data domains.
  • Experience designing API-based data integrations and modern integration patterns.
  • Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent).
  • Experience enabling analytics teams, data science workflows, or ML pipelines.
  • Experience implementing enterprise data security and compliance frameworks.
USE OF AI TOOLS 
As a technology organization, Qcells expects team members to leverage AI models and AI-assisted tools in their daily workflows where appropriate. Candidates should be comfortable working in an AI-augmented environment and applying sound judgment when using AI-generated outputs.
 
During the interview process, candidates will be asked to share examples of how they have used AI tools or models in their work.
 
Hanwha Q CELLS America Inc. (“HQCA”) is a Qcells company, one of the world’s largest manufacturers and providers of solar photovoltaic (PV) products and solutions.  Headquartered in Irvine, California, HQCA has been rapidly expanding its business in North America through the expansion of products and solutions, including distributed energy solutions, direct-to-homeowner solar sales and financing, and EPC services.  We provide an opportunity to be part of an exciting and growing world-class global business in an interesting and expanding industry of the future.
 
PHYSICAL, MENTAL & ENVIRONMENTAL DEMANDS:  
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.   
Mobility  
Standing  
20% of time   
Sitting  
70% of time   
Walking  
10% of time   
Strength  
Pulling  
up to 10 Pounds   
Pushing  
up to 10 Pounds   
Carrying  
up to 10 Pounds   
Lifting  
up to 10 Pounds   
Dexterity (F = Frequently, O = Occasionally, N = Never)  
Typing  
F  
Handling  
F  
Reaching  
F  
Agility (F = Frequently, O = Occasionally, N = Never)  
Turning  
F  
Twisting  
F  
Bending  
O  
Crouching  
O  
Balancing  
N  
Climbing  
N  
Crawling  
N  
Kneeling  
N  
  
  
  
  
  
  
  
 

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

*This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.

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