ZipRecruiter

Log In

1

Associate Data Engineer Jobs in San Ramon, CA (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

previous pagenext page

Showing results 21-40

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in San Ramon, CA

Associate Data Engineer information

See San Ramon, CA salary details

$11

$20

$34

How much do associate data engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for associate data engineer in San Ramon, CA is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.31 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 San Ramon, CA?

The most popular types of Data Engineer jobs in San Ramon, CA are:

What are popular job titles related to Associate Data Engineer jobs in San Ramon, CA?

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

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

The top searched job categories for Associate Data Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Associate Data Engineer jobs?

Cities near San Ramon, CA with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,554 per year, or $20.9 per hour.

Associate Director, Principal Data Engineer

San Francisco, CA • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

Posted 16 days ago

Job description

Associate Director, Principal Data EngineerResponsibilities:
  • Build AI-enabled research workflows and agents to help scientists search, analyze, summarize, and connect Vir-generated information.
  • Develop AI agents for TCE research insights, Experimenta QC/QA review, and scientific/regulatory reporting.
  • Design trusted LLM, RAG, knowledge-search, and agentic AI workflows with traceability, validation, governance, and human oversight.
  • Lead development and integration of scientific platforms (e.g., SeqAssembler, HPD/dAIsY, SASTRY, OPAL Miner).
  • 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, and governance.
  • Partner cross-functionally to align data, cloud, application, and AI solutions with program needs.
  • Provide senior technical leadership (architecture, engineering practices, mentoring, roadmap).
Qualifications:
  • BS/MS in Computer Science, Data Engineering, Bioinformatics, Computational Biology, Engineering, or related technical field.
  • 12+ years in data engineering, software engineering, scientific computing, cloud architecture, or scientific application.
  • Strong hands‑on Python and/or Java; scalable data pipelines, APIs/services, production‑grade data.
  • Experience with AI/ML-enabled scientific applications using LLMs (GPT, Claude, Gemini, etc.); RAG, knowledge search, agentic workflows, governance.
  • Experience integrating LIMS/ELN/scientific data platforms or Experimenta for capture, analysis, and quality review.
  • Strong AWS experience (compute/storage/networking/security/data processing/monitoring/automation/operations).
  • Experience with Databricks, Snowflake, Redshift, Spark, Airflow, Nextflow, or similar.
  • Experience supporting bioinformatics/genomics/ML/clinical or other scientific data.
  • Knowledge of data modeling, metadata management, data quality, observability, governance, lineage.
  • Demonstrated technical leadership and cross‑functional communication.
#J-18808-Ljbffr

Apply