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Temporary Data Engineer C2C Jobs in Arizona (NOW HIRING)

Sr Data Engineer

Glendale, AZ

$113K - $136K/yr

Job Title: Sr. Data Engineer Location: Glendale, CA Onsite Job Type ... C2C Job Responsibilities: * Maintain, update, and expand existing core data platform pipelines.

Lead Data engineer

Chandler, AZ · On-site

$116K - $140K/yr

Lead Data Engineer Location: Chandler.,AZ Work Schedule: Hybrid Duration: 6 months Top Skills: * Ab ... NO C2C or 1099. Role Overview Role & Team * Role will be working with the enterprise information ...

AI Engineer - W2

Chandler, AZ · On-site

$69 - $74/hr

Lead Cloud Data Platform Engineer (AI & Data Engineering) We are not accepting C2C or 1099 arrangements. Location: Chandler, AZ; Charlotte, NC; Minneapolis, MN; Irving (Las Colinas), TX Employment ...

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ETL Developer

Glendale, AZ · On-site

$90K - $120K/yr

Explore a career with A & Associates, one of the leading providers for temporary, temp-to-hire ... Azure Data Engineer Associate * AWS Certified Data Engineer * Snowflake SnowPro Certification

Temporary Assignment Description: Summary: We are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and ...

Your Role: - Monitor data center operations and check for emergent alerts through monitoring ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Aakash Gupta Recruiter Phone: Benefits:

FEA Engineer

Tucson, AZ · On-site

$55.50 - $76/hr

C2C Must have: FEA Eng, Abaqus, Static Linear, Automotive/Construction/Mining Industry experience ... Correlation of Test Data with FEA Results Candidate Responsibilities * Support virtual product ...

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Temporary Data Engineer C2C information

What is the difference between Temporary Data Engineer C2C vs Temporary Data Analyst C2C?

AspectTemporary Data Engineer C2CTemporary Data Analyst C2C
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights projects
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, retail sectors
Common Search & Comparison IntentUnderstanding technical roles, infrastructure focusFocus on data insights, reporting tasks

Temporary Data Engineer C2C roles typically involve building and maintaining data pipelines and infrastructure, requiring technical certifications and a focus on data engineering tasks. In contrast, Temporary Data Analyst C2C positions emphasize analyzing data to generate reports and insights, often requiring statistical and analytical skills. Both roles are contract-based and used across various industries, but they serve different functions within data teams.

What are the most commonly searched types of Data Engineer C2C jobs in Arizona? The most popular types of Data Engineer C2C jobs in Arizona are:
What are popular job titles related to Temporary Data Engineer C2C jobs in Arizona? For Temporary Data Engineer C2C jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Temporary Data Engineer C2C jobs in Arizona look for? The top searched job categories for Temporary Data Engineer C2C jobs in Arizona are:
What cities in Arizona are hiring for Temporary Data Engineer C2C jobs? Cities in Arizona with the most Temporary Data Engineer C2C job openings:

$113K - $136K/yr

Full-time

Posted 14 days ago


Job description

Job Title: Sr. Data Engineer

Location: Glendale, CA Onsite

Job Type: C2C

Job Responsibilities:

  • Maintain, update, and expand existing core data platform pipelines.
  • Build and maintain APIs to expose data to downstream applications.
  • Develop real-time streaming data pipelines.
  • Work with technologies including Airflow, Spark, Databricks, Delta Lake, and Snowflake.
  • Collaborate with product managers, architects, and other engineers to ensure platform success.
  • Develop and document internal/external standards, best practices, and pipeline configurations.
  • Ensure high operational efficiency and data accuracy to meet SLAs and reliability standards for stakeholders (Engineering, Data Science, Operations, and Analytics teams).

Required Qualifications:

  • 7+ years of data engineering experience developing large-scale data pipelines.
  • Proficiency in at least one major programming language (Python, Java, or Scala).
  • Hands-on experience with distributed processing systems such as Apache Spark.
  • Production-level experience with data pipeline orchestration tools like Apache Airflow.
  • Expertise in at least one Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, BigQuery).
  • Experience in data modeling and API development using GraphQL.
  • Advanced understanding of OLTP vs. OLAP environments.

Preferred Qualifications (Nice-to-Have):

  • Experience with Graph Databases.
  • Real-time event streaming expertise.