ZipRecruiter

Log In

1

Associate Data Engineer Jobs in Mountain View, CA

Accenture

Google Senior Data Engineer

Mountain View, CA · On-site

$94 - $266/hr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Azure Data Engineer Associate (DP-203) * Azure Fundamentals (AZ-900) Good to Have * Experience with real-time analytics. * Knowledge of Lakehouse architecture. * Experience with Agile/Scrum ...

Pwc

Data Strategy-Manager

San Francisco, CA

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

San Francisco, CA

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

previous page

Showing results 41-60

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 4, 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

Associate Director, Principal Data Engineer

Vir Biotechnology

San Francisco, CA • On-site

$176K - $246K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Job description

Vir Biotechnology, Inc. is a clinical-stage biopharmaceutical company focused on powering the immune system to transform lives by discovering and developing medicines for serious infectious diseases and cancer. Its clinical-stage portfolio includes programs for chronic hepatitis delta and multiple PRO-XTEN® dual-masked T-cell engagers across validated targets in solid tumor indications. Vir Biotechnology also has a preclinical portfolio of programs across a range of infectious diseases and oncologic malignancies.
Vir Biotechnology has exclusive rights to the universal PRO-XTEN® masking platform for oncology and infectious disease. PRO-XTEN® is a trademark of Amunix Pharmaceuticals, Inc., a Sanofi company.
We believe the success of our colleagues drives the success of our mission. We are committed to creating a company where everyone feels supported and encouraged to give their best.
THE OPPORTUNITY
Vir Biotechnology is seeking an Associate Director, Principal Data Engineer to lead scalable data, cloud, software, and AI-enabled research platforms that support scientific discovery, clinical data analysis, and program decision-making.
This role will build the foundation for AI-powered research workflows, including AI agents for research, QC/QA, and scientific/regulatory reporting, while partnering across Research, Clinical, Data Science, TechOps, Competitive Intelligence, and IT.
The ideal candidate is a forward-thinking technical leader who combines expertise in data engineering, scientific software, AWS cloud platforms, and practical AI implementation to transform complex scientific data into connected, searchable, and actionable insights. They excel at partnering with scientists, data scientists, and engineers to build trusted, scalable solutions that accelerate research while maintaining the highest standards of data quality, governance, validation, and reliability.
Reporting to the Senior Director, Research, this role is based in San Francisco with an expectation of three days per week in the office
WHAT YOU'LL DO
  • Build AI-enabled research workflows and agents that help scientists search, analyze, summarize, and connect Vir-generated
  • Develop AI agents for TCE research insights, Experimenta QC/QA review, and scientific/regulatory report
  • Design trusted LLM, RAG, knowledge-search, and agentic AI workflows with traceability, validation, governance, and human
  • Lead development and integration of scientific platforms, including SeqAssembler, HPD/dAIsY, SASTRY, OPAL Miner, and
  • Build scalable research and clinical data pipelines for bioinformatics, genomics, machine learning, and scientific decision-making.
  • Architect and operate AWS cloud infrastructure for AI/ML, bioinformatics, clinical analysis, and large-scale scientific data
  • Strengthen data quality, metadata, lineage, observability, security, governance, and platform
  • Partner cross-functionally to align data, cloud, application, and AI solutions with program
  • Provide senior technical leadership across architecture, engineering practices, mentoring, and roadmap

WHO YOU ARE AND WHAT YOU BRING
  • BS/MS in Computer Science, Data Engineering, Bioinformatics, Computational Biology, Engineering, or a related technical
  • 12+ years of experience in data engineering, software engineering, scientific computing, cloud architecture, or scientific application
  • Strong hands-on experience with Python and/or Java, including scalable data pipelines, APIs, services, and production-grade data
  • Experience building AI/ML-enabled scientific applications using leading LLMs such as GPT, Claude, Gemini, or similar models, including RAG, knowledge search, agentic workflows, and governance
  • Experience integrating LIMS, ELN, scientific data platforms, or experiment-management systems such as Experimenta to support data capture, analysis, quality review, and scientific
  • Strong AWS cloud infrastructure experience, including compute, storage, networking, security, data processing, monitoring, automation, and operational
  • Experience with modern cloud-based data platforms and workflow technologies such as Databricks, Snowflake, Redshift, Spark, Airflow, Nextflow, or similar
  • Experience supporting bioinformatics, genomics, machine learning, clinical, healthcare, or other scientific data
  • Strong knowledge of data modeling, metadata management, data quality, observability, governance, lineage, and platform
  • Demonstrated technical leadership, including architecture ownership, roadmap development, mentoring, and cross-functional
  • Excellent communication and collaboration skills across Research, Clinical, Data Science, IT, and business

#LI-AS1
#LI-Onsite
WHO WE ARE AND WHAT WE OFFER
The expected salary range for this position is $176,500 to $246,500 per year. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors.
Vir Biotechnology's compensation and benefits are aligned with the current market and commensurate with the person's experience and qualifications. All full-time employees receive a package that includes compensation, bonus and equity as well as many other Vir Biotechnology benefits and perks such as health and welfare benefit plans, non-accrual paid time off, company shut down for holidays, commuter benefits, 401K match and lunch each day in the office.
Applicants must currently be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
All employment decisions at Vir Biotechnology are based on legitimate, non-discriminatory business requirements, job duties and individual qualifications. Employment decisions are made without regard to any legally protected characteristics.
This commitment extends to all management practices and decisions, including recruitment and hiring, compensation, appraisal systems, promotions, training and career development programs. Vir Biotechnology also strongly commits to providing employees with a work environment free of unlawful conduct or harassment.
Vir Biotechnology Human Resources leads recruitment and employment for Vir Biotechnology. Unsolicited resumes sent to the company from recruiters do not constitute any type of relationship between the recruiter and Vir Biotechnology and do not obligate us to pay fees should we hire from those resumes. We ask that external recruiters and/or agencies not contact or present candidates directly to our hiring manager or employees.
For hires based in the United States, Vir Biotechnology, participates in E-Verify.
Candidate Privacy Notice

Apply