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Data Engineer Entry Level Jobs in Alameda, CA (NOW HIRING)

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

San Francisco, CA

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Intellectt INC

Entry Level Lab Technician

Alameda, CA · On-site

... data entry of investigation results is a primary part of the job. • Ability to focus while ... Diploma or equivalent (such as GED). • An Associates (Two year) degree in Electrical Engineering ...

ZL Technologies

Entry-Level Accountant

Milpitas, CA · On-site

We are seeking a detail-oriented and motivated Entry-Level Accountant to join our Finance team ... ZL's history of engineering and delivering large-scale solutions for managing enterprise data has ...

ZL Technologies

Entry-Level Accountant

Milpitas, CA

We are seeking a detail-oriented and motivated Entry-Level Accountant to join our Finance team ... ZL's history of engineering and delivering large-scale solutions for managing enterprise data has ...

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Alameda, CA

Data Engineer Entry Level information

See Alameda, CA salary details

$50.4K

$147K

$201.2K

How much do data engineer entry level jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineer entry level in Alameda, CA is $147,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $155,800.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Alameda, CA? The most popular types of Data Engineer jobs in Alameda, CA are:
What job categories do people searching Data Engineer Entry Level jobs in Alameda, CA look for? The top searched job categories for Data Engineer Entry Level jobs in Alameda, CA are:
What cities near Alameda, CA are hiring for Data Engineer Entry Level jobs? Cities near Alameda, CA with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Alameda, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,015 per year, or $70.7 per hour.

Data Engineer (SQL) - Costa Rica

ActiveProspect, Inc.

San Jose, CA

$134K - $161K/yr

Full-time

Posted 25 days ago

Job description

Data Engineer

Company Overview

ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. We provide marketers the products they need to acquire qualified customers at scale. Our platform is trusted by thousands of companies engaged in direct-to-consumer marketing, helping them save wasted spend, comply with ever-changing regulations, and manage a constantly evolving partner landscape. Our flagship product, TrustedForm, is used to certify over 1 billion opt-in digital customer leads every year and is the gold standard for documenting prior express written consent for TCPA compliance.

Job Summary

The Data Engineer is an individual-contributor role that designs, builds, and maintains scalable data pipelines and analytical data models. The role works hands-on with our modern data stack — SQL, Snowflake, dbt, Fivetran, Kafka, and Python — to build reliable, efficient data solutions. This is an entry-level role that grows toward full ownership of the data engineering workload over time.

Responsibilities:

Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions. Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion (Fivetran, Kafka), transformation and modeling (dbt, Snowflake), and Level 1 support for pipeline failures, monitoring, and data quality.

Qualifications and Skills

  • Strong SQL skills
  • Python for data pipelines and automation
  • Snowflake
  • dbt
  • Fivetran
  • Kafka
  • Data modeling
  • ETL/ELT pipeline development
  • Data quality and governance
  • Monitoring and performance optimization

Reports to:

  • Data Architect

Organizational Impact

This role adds capacity to the data engineering function and reduces key-person risk by developing an engineer who can independently own the data engineering workload — ingestion, streaming, transformation, and data quality. As that ownership grows, it frees senior capacity to focus on higher-leverage architecture and modeling work.

Reliable, well-governed data is the foundation for ActiveProspect\'s reporting and decision-making. By keeping pipelines healthy and data trustworthy in Snowflake, this role directly supports the analytics and business teams that depend on accurate, timely data. Success looks like dependable data delivery, strong data quality, and faster resolution of issues through proactive monitoring and Level 1 support.


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