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Data Engineer 1 Jobs in California (NOW HIRING)

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire Long Term Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

You Have: * 1+ year of experience within data engineering, ETL operations, pipeline development, computer science, data analytics or data research * Experience writing software in programming ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

You Have: * 1+ year of experience within data engineering, ETL operations, pipeline development, computer science, data analytics or data research * Experience writing software in programming ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

You Have: * 1+ year of experience within data engineering, ETL operations, pipeline develop ment, computer science, data analytics or data research * Experience writing sof tware in programming ...

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Lawrence Berkeley National Laboratory is hiring a Scientific Data Engineer within the Scientific ... Demonstrated experience in one or more of the following areas: data management, scientific data ...

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Job Title: Data Engineer Location: Irvine, CA (On-site) Department: Information Technology ... Key Responsibilities A typical day may include: 1. Design, develop, test, deploy, and maintain ...

Data Engineer

Redwood City, CA · On-site

$120 - $170/hr

About Us GridCARE solves data center developers' most urgent bottleneck - immediate access to power ... Join us in tackling one of the most important infrastructure challenges of our time -- enabling the ...

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Data Engineer

Irvine, CA · On-site

$100 - $120/hr

The Data Engineer will also help improve data quality, performance, reliability, and accessibility ... Key Responsibilities A typical day may include: * 1. Design, develop, test, deploy, and maintain ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0246048 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... The estimate displayed represents the typical salary range for this position and is just one ...

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Showing results 1-20

Data Engineer 1 information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer 1 jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer 1 in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Infographic showing various Data Engineer 1 job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Principal Engineer 1, Data Platforms

Halozyme, Inc.

San Diego, CA • On-site

$175 - $185/hr

Other

Retirement

Posted 8 days ago


Job description

Welcome to an inspired career. At Halozyme, we are reinventing the patient experience and building the future of drug delivery. We are passionate about the important work we do and constantly strive to do more. We embrace transformation and work hard to innovate for the future. We do this together, as One Team – we rise by lifting others up and believe in the power of working together for the collective win. That’s why we need you—to help us make a significant impact by taking on increasingly complex challenges, leaping beyond the status quo, advancing our mission and making our One Team culture thrive. Join us as a Principal Engineer 1, Data Platforms, and you’ll be part of a culture that welcomes diversity, thinks differently to solve problems, works collaboratively as one team, and delivers meaningful innovations that impact people’s lives.

How you will make an impact The Principal Engineer 1, Data Platforms serves as the technical lead accountable for the data platform: architecting the solution, building alongside the team, holding the quality bar, and driving delivery with urgency and accountability. They work directly with business partners across the organization to understand their data needs, translate requirements into platform capabilities, and ensure the UDP delivers real, measurable value to every function it serves, and build the operational foundation that keeps the platform healthy as adoption scales: supporting models, SLA frameworks, and feedback loops that make the platform responsive and reliable. This role helps define and track technical KPIs like pipeline reliability, data freshness, query performance, onboarding velocity, incident resolution and use them to drive continuous improvement.

In this role, you’ll have the opportunity to:
  • Serve as the technical lead for Halozyme’s Microsoft Fabric‑based data lakehouse — workspace topology, OneLake storage design, medallion‑layer standards (bronze/silver/gold), Spark and SQL compute configuration, and CI/CD pipeline design
  • Provide technical leadership and mentorship to data and analytics engineers through code reviews, architectural guidance, and hands‑on problem solving — personally contributing code and architectural artifacts alongside the team
  • Design and build production‑grade data ingestion pipelines across 50+ source systems (ERP, Veeva, LIMS, ELN, CTMS, HRIS, and others) using Data Factory, dataflows, shortcuts, and mirroring patterns
  • Serve as the hands‑on technical counterpart to external implementation partners — reviewing deliverables line by line, enforcing engineering standards, and catching quality issues before they reach production
  • Partner directly with business stakeholders across R&D, Commercial, Manufacturing, Business Development, Supply Chain and Corporate functions to understand data requirements, prioritize platform capabilities, and ensure the UDP delivers actionable value aligned to each function’s strategic needs
  • Design and operationalize the platform support model — including intake workflows, tiered support processes, issue triage, and escalation paths — to ensure the data platform remains responsive, reliable, and well‑governed as enterprise adoption scales
  • Help define, instrument, and report on key technical KPIs — pipeline reliability, data freshness, query performance, onboarding velocity, and incident resolution time — to drive continuous improvement and demonstrate platform health to leadership
  • Implement and maintain data quality monitoring, alerting frameworks, incident response procedures, and platform SLAs — owning reliability as a commitment, not just a team metric
  • Build and maintain the semantic layer (Power BI datasets, gold‑layer views, and self‑service analytics capabilities) to ensure business consumers get trusted, performant data products
  • Execute data classification (GxP vs. non‑GxP), role‑based access control, sensitivity labeling, and audit logging in coordination with IT Security and the Data Governance Lead
  • Technically scope, sequence, and deliver new source system integrations from discovery through production, managing dependencies and communicating timelines with precision
  • Establish and enforce platform engineering standards: naming conventions, branching strategies, testing patterns, documentation requirements, and operational runbooks
  • Other duties as assigned
To succeed in this role, you’ll need:
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field with 10+ years experience of progressive experience in data engineering, data platform architecture, or analytics infrastructure roles
  • Master’s degree preferred
  • An equivalent combination of experience and education may be considered 2+ years technically leading data engineers or analytics engineers in a platform or lakehouse environment
  • Deep, hands‑on expertise with Microsoft Fabric (lakehouses, notebooks, Data Factory, deployment pipelines); equivalent depth in Databricks or Azure Synapse considered with demonstrated willingness to go deep on Fabric
  • Strong production‑level proficiency in PySpark, T‑SQL, Python, and modern ELT/ETL design patterns
  • Proven experience designing and operating medallion‑architecture (bronze/silver/gold) or equivalent layered data platforms at enterprise scale
  • Demonstrated ability to manage external implementation vendors at a technical level — reviewing code, challenging architecture decisions, and holding delivery quality, not just tracking timelines
  • Experience with DevOps and CI/CD for data platforms (Azure DevOps, GitHub Actions, Fabric deployment pipelines, infrastructure‑as‑code)
  • Familiarity with data governance tooling (Microsoft Purview, Unity Catalog, or comparable) and data quality frameworks
  • Biopharmaceutical, life sciences, or regulated industry experience strongly preferred — including familiarity with GxP data handling, validation requirements, and audit readiness
  • Experience integrating pharma‑specific source systems such as Master Control, Veeva, LIMS, ELN such as Benchling, CTMS, EDC, or HRIS platforms is a significant plus
  • Exposure to AI/ML workloads on a Lakehouse (feature stores, model training pipelines, vector databases) is a plus
  • Microsoft Fabric Data Engineering Certificate is a plus
In return, we offer you:
  • Full and comprehensive benefit program, including an Employee Stock Purchase Program and 401(k) matching.
  • Opportunities to grow in a culture that prioritizes learning, development and progression through in‑house programs and tuition reimbursement.
  • A collaborative, innovative team that works as one to amplify your impact—on your career, the work you do and patients’ lives.
  • The most likely base pay range for this position is $175K - $185K per year. Several factors, such as experience, tenure, skills, and particular business needs, will determine an individual’s exact level of compensation.
  • Base salary is only one element of employee compensation at Halozyme. Total compensation could include bonuses, sales incentives, and equity awards.

Halozyme, Inc. is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Accessibility and Reasonable Accommodations: Halozyme is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or accommodation due to a disability, contact Human Resources at hrbox@halozyme.com. To view all our open positions, please visit our career page. Additionally, our benefit offerings can be found here.

Strength in diversity & collaboration Halozyme is a diverse team of innovators and problem solvers who bring their unique perspectives, backgrounds and individual life experiences to work every day. We are purposeful through our actions, working hard to cultivate a team that reflects our world and our values. Working together as one collaborative team, we can accomplish more than we ever could on our own. These ingredients are the best way to advance our mission.

Equal Employment Opportunity Statement Halozyme, Inc. is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race (including traits historically associated with race, including but not limited to: hair texture and protective hair styles), religion, religious creed (including religious dress and grooming practices), ethnicity, color, national origin, ancestry, age (40 and older), genetic information, disability (mental and physical, including HIV and AIDS), reproductive health decision‑making, medical leave or other types of protected leave, domestic violence victim status, political affiliation, medical condition (including cancer/ genetic characteristics and information), sex, gender, gender identity, gender expression, sexual orientation, marital or familial status, citizenship, pregnancy (including perceived pregnancy, childbirth, breastfeeding, or related medical conditions), military or veteran status, or any other status protected by federal, state, or local law. Click here to view the Know Your Rights Poster and the Pay Transparency Non‑Discrimination Provision Poster.

Accessibility and Reasonable Accommodations Halozyme is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, contact Human Resources at hrbox@halozyme.com.

Halozyme Privacy Notice: Applicant Privacy Notice.

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