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Entry Level Etl Developer Jobs in California (NOW HIRING)

Data Engineer

San Francisco, CA

$134K - $162K/yr

Informatica/ETL. Responsibilities * Design and develop ETL processes based on functional and non ... Document component design for developers and for broader communication. * Understand and adopt an ...

SQL Server Developer- Hybrid Location: Rancho Cucamonga, CA (Hybrid) Healthcare domain is not a ... Hands-on experience designing, developing, and maintaining complex SQL Server databases and ETL ...

New

SQL Server Developer Location: Rancho Cucamonga,CA (Hybrid) Hands on experience designing ... ETL solutions using SSIS (SQL Server Integration Services). Candidates must possess solid work ...

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Senior Data Engineer Location: Anaheim, CA (Hybrid - 2 to 3 days onsite per week) Duration:6+ ... The ideal candidate will have a strong background in SQL Server, ETL development, data warehousing ...

Data Engineer II - Street Data

Redlands, CA

$115K - $138K/yr

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... You will be responsible for designing, developing, and maintaining ETL processes to transform ...

... Engineer to develop solutions that meet business requirements ... The role involves collaborating with business users, designing data models, and developing ETL ...

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Title: Data Engineer Location: Carlsbad, CA / Tempe, AZ (Hybrid - 3 days onsite) Duration ... The ideal candidate will have experience developing ELT/ETL pipelines, working with Google Cloud ...

Showing results 41-60

Entry Level Etl Developer information

See California salary details

$31

$56

$79

How much do entry level etl developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for entry level etl developer in California is $56.63, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $63.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level ETL developer?

To thrive as an Entry Level ETL Developer, you should have a solid understanding of database concepts, SQL, and data processing, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and an understanding of data warehousing concepts are highly beneficial, as are relevant entry-level certifications. Attention to detail, strong problem-solving skills, and the ability to communicate effectively with technical and non-technical stakeholders will set you apart. These skills are essential for accurately transforming and integrating data to meet business needs while collaborating efficiently within a team.

What is an entry level ETL developer?

An Entry Level ETL Developer is responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) processes to move data from various sources to a data warehouse or other storage systems. They work with databases, data mapping, and ETL tools like Informatica, Talend, or SQL Server Integration Services (SSIS). Their role includes ensuring data accuracy, optimizing performance, and troubleshooting ETL pipelines. Typically, they collaborate with data analysts, engineers, and business stakeholders to support data-driven decision-making.

What does an entry level ETL developer do?

As an Entry Level ETL Developer, your day-to-day tasks often include developing and testing ETL scripts, supporting data integration processes, and troubleshooting data issues under the guidance of senior team members. You may work closely with business analysts and database administrators to define data requirements and ensure data accuracy. Additionally, you’ll help maintain documentation for data flows and transformation logic, and participate in team meetings or code reviews. This collaborative environment is designed to help you learn best practices and develop your technical skills while contributing to key data projects.

What are the most commonly searched types of Etl Developer jobs in California?

The most popular types of Etl Developer jobs in California are:

What are popular job titles related to Entry Level Etl Developer jobs in California?

For Entry Level Etl Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Etl Developer jobs in California look for?

The top searched job categories for Entry Level Etl Developer jobs in California are:

What cities in California are hiring for Entry Level Etl Developer jobs?

Cities in California with the most Entry Level Etl Developer job openings:

Infographic showing various Entry Level Etl Developer job openings in California as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, 2% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $117,783 per year, or $56.6 per hour.

Data Engineer

Forhyre

San Francisco, CA

$134K - $162K/yr

Full-time

Re-posted 24 days ago


Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal