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Entry Level Data Engineering Jobs in Milpitas, CA

SynergisticIT

Junior Web Application Developer

Sunnyvale, CA · On-site

$78K - $101K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

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 ...

Hadronts

Entry Level Java Developer

Santa Clara, CA

Understanding of object oriented design, data structures and algorithms. Strong organizational ... Computer Engineering, or related IT discipline. Additional Information Additional Information We ...

Deegit Inc

BigData Admin

Foster City, CA · On-site

Big Data Admin (Mandatory) * Linux Admin * As a Lead, you are responsible for managing a small team ... You may serve as entry level specialist with expertise in particular technology/industry domain/a ...

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All JobsData Engineering JobsEntry Level Data Engineering JobsEntry Level Data Engineering Jobs in Milpitas, CA

Entry Level Data Engineering information

See Milpitas, CA salary details

$13

$23

$36

How much do entry level data engineering jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for entry level data engineering in Milpitas, CA is $23.59, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $25.48 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Milpitas, CA? The most popular types of Data Engineering jobs in Milpitas, CA are:
What job categories do people searching Entry Level Data Engineering jobs in Milpitas, CA look for? The top searched job categories for Entry Level Data Engineering jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Entry Level Data Engineering jobs? Cities near Milpitas, CA with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Milpitas, CA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $49,060 per year, or $23.6 per hour.

Data Engineer (SQL) - Costa Rica

ActiveProspect, Inc.

San Jose, CA

$134K - $161K/yr

Full-time

Posted 27 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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