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Data Engineer Relocation Jobs in Calabasas, CA (NOW HIRING)

Yeah! Global

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employers location. Job Summary: Our Client is looking for a skilled Data Engineer to join ...

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... We will provide relocation assistance to anyone who does not already reside in the NYC metro area

Regard

Senior Data Engineer

Los Angeles, CA · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production ... We will provide relocation assistance to anyone who does not already reside in the NYC metro area

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Coordinate data management and resource requirements with data engineers * Conduct training to ... Relocation assistance (terms and conditions apply) * Flight training courses and bonuses (terms and ...

Tubi

Data Scientist, Growth Analytics

Los Angeles, CA · On-site +1

Please note that we do not provide relocation assistance for this role. What You'll Do: * Lead the ... Partner closely with Data Engineering to design robust data models, improve data quality, and ...

Raytheon

Senior RF Data Link Engineer

Los Angeles, CA

... Engineers who have experience designing wireless communication and data links. This position ... This position is an onsite role located in Tucson, AZ and is eligible for relocation assistance. As ...

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All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Calabasas, CA

Data Engineer Relocation information

See Calabasas, CA salary details

$47.1K

$137.4K

$188K

How much do data engineer relocation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineer relocation in Calabasas, CA is $137,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

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

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What cities near Calabasas, CA are hiring for Data Engineer Relocation jobs? Cities near Calabasas, CA with the most Data Engineer Relocation job openings:
Data Engineer Relocation jobs near you

Data Engineer

Yeah! Global

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Posted 8 days ago

Job description

Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employers location.

Job Summary:
Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines.
  • Integrate, clean, and organize raw data from various sources into structured formats.
  • Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
  • Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
  • Optimize database performance and query execution.
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
  • Ensure data security and compliance with relevant data protection regulations.
  • Monitor and troubleshoot data-related issues and provide timely resolutions.
  • Document data engineering processes, architectures, and workflows.

Qualifications:

  • Bachelors degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
  • Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
  • Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of data governance and data privacy regulations.
  • Certification in data engineering or related fields.

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