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Temporary Data Engineer Jobs in California (NOW HIRING)

Tekwissen

Data Engineer

Aliso Viejo, CA · On-site

$121.10K - $145.50K/yr

Data Engineer Location: Frisco, Texas or Virginia Duration: 6 Months Job Type ... Temporary Assignment Work Type: Onsite JOB SUMMARY: * P&SC Data and Intelligence Mandatory Skills:

GovernmentJobs.com

Data Engineer

Oxnard, CA · Hybrid

$119K - $142.90K/yr

Data Engineer The City of Oxnard is seeking a skilled and proactive Data Engineer to support our ... temporary assignments. There is currently one (1) full-time vacancy within the Information ...

AllSTEM Connections

Data Engineer II

Oakland, CA · On-site

$122.70K/yr

Job Title: Data Engineer II (Enterprise Systems & Analytics) Role Overview We are seeking a ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

AllSTEM Connections

Data Engineer II

Oakland, CA · On-site

$131.50K - $157.90K/yr

Job Title: Data Engineer II (Enterprise Systems & Analytics) Role Overview We are seeking a ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$172.60K/yr

Senior Full Stack Data Engineer (Foundry + React) Role Overview We are seeking a Senior Full Stack ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

iSoftStone

Sr. AI Data Engineer

Menlo Park, CA · On-site

$105K - $110K/yr

Sr. AI Data Engineer (Image Generation Data) iSoftStone, Inc. is seeking a Sr. AI Data Engineer to ... No benefits Temp salaried employee benefits, if scheduled to work at least 30 hours per week ...

TEKsystems

Data Engineer

Cupertino, CA · On-site

$75 - $80/hr

Description We are looking for an exceptional data engineer to join a high-impact team working at ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

TEKsystems

Data Engineer

Cupertino, CA · On-site

$75 - $80/hr

Description We are looking for an exceptional data engineer to join a high-impact team working at ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$29/hr

No AI and Data Engineer Company: Hitachi America, Ltd. Division: Business Innovation & Digital ... Temp-to-Perm Duration: 6 months+ (May 2026 - October 2026) About Hitachi, Ltd. Through its Social ...

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$133.40K - $160.20K/yr

No AI and Data Engineer Company: Hitachi America, Ltd. Division: Business Innovation & Digital ... Temp-to-Perm Duration: 6 months+ (May 2026 - October 2026) About Hitachi, Ltd. Through its Social ...

Hitachi, Ltd.

AI and Data Engineer

Santa Clara, CA · On-site

$134.50K - $161.50K/yr

No AI and Data Engineer Company: Hitachi America, Ltd. Division: Business Innovation & Digital ... Temp-to-Perm Duration: 6 months+ (May 2026 - October 2026) About Hitachi, Ltd. Through its Social ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$114.40K - $172.60K/yr

Work closely with data engineers and product stakeholders to translate ontology-based concepts into ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$172.60K/yr

Principal Data Compliance Engineer (Utility Infrastructure) Role Overview We are seeking a high ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$131.50K - $157.90K/yr

Principal Data Compliance Engineer (Utility Infrastructure) Role Overview We are seeking a high ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Temporary Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do temporary data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for temporary data engineer 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 Temporary Data Engineer job?

A Temporary Data Engineer is a short-term role responsible for designing, building, and maintaining data pipelines and infrastructure. These professionals help organizations collect, store, and process data efficiently, often working on specific projects or to support peak workloads. Temporary Data Engineers typically use SQL, Python, and cloud platforms to manage data workflows. The role may last for weeks or months, depending on the company's needs.

What are the key skills and qualifications needed to thrive in the Temporary Data Engineer position, and why are they important?

To thrive as a Temporary Data Engineer, you need a solid grasp of data modeling, ETL processes, and SQL or other database languages, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS or Azure, experience with big data frameworks such as Apache Spark, and possibly certifications like Google Professional Data Engineer are valuable. Strong problem-solving skills, the ability to quickly adapt to new environments, and effective communication are important soft skills in this role. These abilities are crucial because Temporary Data Engineers must rapidly contribute to projects, ensure data systems run smoothly, and collaborate efficiently during short-term assignments.

What are the typical daily responsibilities of a Temporary Data Engineer?

As a Temporary Data Engineer, your day-to-day work often involves designing and maintaining data pipelines, cleaning and validating data, and implementing ETL processes to support business analytics or project objectives. You'll collaborate with data scientists, analysts, and other engineers to ensure data accuracy and system reliability, while troubleshooting issues or optimizing workflows as needs arise. Since this is a temporary role, you may also take on specialized short-term projects or support urgent business initiatives where fast, high-quality results are essential. The work environment is usually fast-paced, making adaptability and teamwork especially important for success.
More about Temporary Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in California? The most popular types of Data Engineer jobs in California are:
What are popular job titles related to Temporary Data Engineer jobs in California? For Temporary Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Data Engineer jobs in California look for? The top searched job categories for Temporary Data Engineer jobs in California are:
What cities in California are hiring for Temporary Data Engineer jobs? Cities in California with the most Temporary Data Engineer job openings:
Temporary Data Engineer jobs near you
Infographic showing various Temporary Data Engineer job openings in California as of May 2026, with employment types broken down into 2% Internship, 58% Full Time, 5% Part Time, 24% Temporary, and 11% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Engineer

Data Engineer

Tekwissen

Aliso Viejo, CA • On-site

$121.10K - $145.50K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer
Location: Frisco, Texas or Virginia
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
JOB SUMMARY:
  • P&SC Data and Intelligence
Mandatory Skills:
  • Microsoft fabric, Databricks, Data pipelines, Data products, Kafka, Azure event hub
Preferred Skills:
  • Apache airflow, Azure data factory, Medallion architecture, ci/cd, devops, tms
  • The Data Engineer (Level IV) designs, builds, and operates the data pipelines and lakehouse data products that power P&SC intelligence across device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities.
  • Operating within a squad focused on a specific SC domain or cross-cutting platform function, the Data Engineer is a hands-on technical contributor who builds to production quality, owns pipeline reliability and KTLO, and actively raises the engineering standard of the team around them.
CORE RESPONSIBILITIES
  • Design and build production-grade data pipelines spanning source ingestion, bronze landing, silver transformation, and gold-layer data product delivery within the squad's domain scope.
  • Own pipeline KTLO (Keep the Lights On) for assigned data products, including monitoring, alerting, incident response, and ongoing reliability improvements.
  • Implement data ingestion patterns for assigned source systems including batch file ingestion, API-based ingestion, and event-driven streaming (Kafka, Azure Event Hub) depending on squad scope.
  • Apply medallion architecture (bronze, silver, gold) and Fabric IQ certification standards consistently across all data product builds.
  • Collaborate with System Analysts to implement field-level transformations, business rule logic, and data quality checks as specified in product requirements documentation.
  • Participate in and contribute to pipeline design reviews, ensuring solutions align with the organization's Databricks and Fabric engineering standards.
  • Support the migration and deprecation of legacy platforms including SCOpsBI SQL Server and SAP boundary systems, following the organization's extract, validate, rebuild, cutover, and decommission pattern.
  • Write and maintain comprehensive pipeline documentation including data lineage, transformation logic, SLA definitions, and dependency maps.
  • Contribute to the organization's DevOps and engineering reliability practices including CI/CD pipeline setup, testing frameworks, and incident runbooks.
  • Mentor and technically guide junior and mid-level data engineers within the squad.
REQUIRED QUALIFICATIONS
  • 7-10 years of data engineering experience with a strong track record delivering production data pipelines in large enterprise environments.
  • Expert proficiency in PySpark or Spark SQL for large-scale data transformation on distributed compute platforms.
  • Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
  • Experience with Microsoft Fabric or Azure Synapse Analytics; familiarity with Fabric IQ and OneLake is a plus.
  • Proficiency with pipeline orchestration tools such as Azure Data Factory, Databricks Workflows, or Apache Airflow.
  • Solid SQL skills for data validation, transformation logic, and ad-hoc source system analysis.
  • Experience building and maintaining ingestion pipelines from enterprise operational systems such as ERP, WMS, TMS, or comparable platforms.
  • Strong understanding of data quality frameworks, including implementing checks, alerting on anomalies, and maintaining SLA-compliant pipeline health.
  • Experience with DevOps practices for data pipelines including version control (Git), CI/CD, and automated testing.
  • Ability to operate independently on complex technical problems with minimal oversight while maintaining clear technical documentation.
PREFERRED QUALIFICATIONS
  • Experience with real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
  • Familiarity with Oracle, ERP ingestion patterns, or large-scale ERP migration programs. Background in supply chain, logistics, reverse logistics, or procurement data domains.
  • Experience with legacy platform migration and decommission programs. Exposure to T-Mobile's Omni lakehouse platform or MagentaBuilt integrations.
  • Python development skills beyond PySpark, including utility scripting and framework contributions.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

Twitter

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