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Temporary Data Engineer Jobs (NOW HIRING)

Paul Hastings

$194.75K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

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 ...

Vertiv Co

Data Engineer - Cloud/AI

Westerville, OH

$110.40K - $132.50K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

Vertiv Group Corp.

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.50K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

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 ...

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 ...

Align Technology

Sr. Data Engineer/Data Analyst

San Jose, CA · On-site

$157.05K - $216K/yr

Collaborate with data scientists, analysts, and engineers to provision secure, temporary databases for testing and model development. * Implement basic schema design and performance tuning for non ...

Monitise

Reporting Data Engineer

Hagerstown, MD · On-site

$113.50K - $136.30K/yr

As a Reporting Data Engineer, you will transform complex data into clear, reliable insights that ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

New

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113.50K - $136.30K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113.50K - $136.30K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

Aquent

Data Engineer (I)

Sunnyvale, CA · On-site

$71.06 - $81/hr

Temporary Salary: $71.06-81 Hourly Start Date: May 27, 2026 Aquent is proud to partner with a ... Engineer, operationalize, secure, and monitor advanced data processing systems, with a strong focus ...

New

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 ...

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Temporary Data Engineer information

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How much do temporary data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for temporary data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 cities are hiring for Temporary Data Engineer jobs? Cities with the most Temporary Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Temporary Data Engineer jobs? States with the most job openings for Temporary Data Engineer jobs include:
What job categories do people searching Temporary Data Engineer jobs look for? The top searched job categories for Temporary Data Engineer jobs are:
Temporary Data Engineer jobs near you
Infographic showing various Temporary Data Engineer job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 48% Full Time, 6% Part Time, 30% Temporary, and 14% Contract. Highlights an 88% In-person, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

Paul Hastings

On-site, Remote

$194.75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. With a strong presence throughout the U.S., Asia, Europe, Latin America, and the Middle East, we have the global reach and extensive capabilities to provide personalized service wherever our clients' needs take us. As one of the world's leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth.
Job Title
Senior Data Engineer
Location
Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York
Regular/Temporary
Regular
Job Description Summary
We have an opening for a Senior Data Engineer.
The Senior Data Engineer is responsible for designing, building and maintaining modern data pipelines and data integration solutions in the Azure Cloud. This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and business stakeholders to deliver scalable, secure and efficient data solutions using Azure Data Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps.
Job Description
In this capacity, the Senior Data Engineer will:
  • Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) and Azure Databricks;
  • Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources;
  • Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring using Azure DevOps;
  • Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics;
  • Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance;
  • Automate environment setup, configuration and permissions using infrastructure-as-code where possible;
  • Write modular, testable code in Python or PySpark and manage version control with Git;
  • Support production operations, root cause analysis and performance tuning;
  • Maintain technical documentation for pipelines, data mappings and deployment processes;
  • Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; and
  • Mentor junior data engineers and promote best practices in CI/CD, version control, and release management.

Proficiencies:
  • Advanced proficiency in Azure Data Factory, Azure Data Lake Storage (Gen2) and Azure Databricks;
  • Experience building and managing CI/CD pipelines in Azure DevOps for data solutions;
  • Strong SQL and ELT experience; familiarity with schema design (e.g., star, snowflake, denormalized);
  • Hands-on expertise with PySpark and Databricks notebooks, including Delta Lake workflows;
  • Familiarity with Git, branching strategies and repository management within Azure Repos;
  • Understanding of data security and privacy best practices in Azure (RBAC, managed identities, encryption);
  • Experience with Power BI dataflows, datasets and refresh configuration (preferred);
  • Familiarity with data cataloging and governance tools (e.g., Microsoft Purview) a plus; and
  • Experience with Agile tools such as Azure Boards or JIRA.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering or related field (required);
  • 7+ years of data engineering or BI development experience;
  • 3+ years building data solutions in Microsoft Azure Cloud;
  • 2+ years using Azure DevOps for automated builds, releases and pipeline orchestration;
  • Proven experience working with structured and semi-structured data (Parquet, JSON, Avro); and
  • Experience in professional services, legal, or financial environments preferred.

The salary wage range for New York that we expect to pay for this position is a minimum of $134,500 and a maximum of $194,750 annually. The actual pay wage may vary based on experience or other relevant factors.
The salary wage range for Los Angeles that we expect to pay for this position is a minimum of $125,800 and a maximum of $182,450 annually. The actual pay wage may vary based on experience or other relevant factors.
The salary wage range for Boston that we expect to pay for this position is a minimum of $134,500 and a maximum of $194,750 annually. The actual pay wage may vary based on experience or other relevant factors.
Employees will be provided with an excellent career opportunity in a collaborative environment, in addition to a generous total compensation package with the opportunity to earn bonuses based on individual contribution and firm profitability.
The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.
Eligible employees can participate in the Firm's comprehensive benefits program, which include the following:
  • Medical, Dental, Vision, Life/AD&D, Long Term Care, and Short- and Long-Term Disability
  • Flexible Spending Accounts and Health Savings Account
  • Healthcare Concierge and Advocacy
  • Lifestyle Spending Account
  • Voluntary 401(k) Plan and Profit Sharing
  • 10 Paid Holidays per year and a generous PTO Program
  • Family Support including Paid Parental Leave, Fertility Benefits, Breast Milk Shipping, Back-up Child Care, Elder Care, and Tutoring
  • Wellbeing programs (Employee Assistance Program, Relationship Support, Mental Health, Menopause and Midlife Health and Well-Being Events)
  • Retirement Plan Consulting
  • Anniversary Bonus Program
  • Professional Development Programs
  • Transportation and Commuter Benefits
  • International Travel Insurance
  • Critical Illness, Hospital Indemnity and Accident Insurance
  • Auto/Home/Pet Insurance
  • Prepaid Legal Insurance
  • Employee Discounts
  • And More!

The Firm fosters an open and inclusive work environment that enables us to provide clients with the innovative thinking of teams rich in talent, experience and creativity. We regularly host programs intended to increase cultural competencies and address key topics related to community, opportunity and inclusion. Learn more about our Global Inclusion initiatives here: Global Inclusion
Paul Hastings is an equal opportunity employer. Pursuant to applicable local law, we will consider qualified applicants with criminal histories in a manner consistent with the requirements of the relevant fair chance ordinance.

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