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Temporary Data Engineer C2C Jobs in Arkansas (NOW HIRING)

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite ... US Citizen only - Experience: 12+ years overall; 4+ years recent GCP - Rate: $60/hr on C2C ...

Cognizant Technology Solutions

Sr data engg

Bentonville, AR · On-site

$100 - $140/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

No Visa sponsorship/ transfer/c2c now or anytime in the future available for this role Job Summary ... Collaborate with product owners data scientists and engineering teams to translate analytical ...

Belcan

Data Analyst I

Alexander, AR · On-site

$21/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industrial engineering background or experience * Knowledge of time study methodologies ... We offer excellent opportunities for contract, temporary, temp-to-hire, and direct assignments. We ...

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All JobsData Engineer C2C JobsTemporary Data Engineer C2C JobsTemporary Data Engineer C2C Jobs in Arkansas

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 Arkansas?

The most popular types of Data Engineer C2C jobs in Arkansas are:

What are popular job titles related to Temporary Data Engineer C2C jobs in Arkansas?

For Temporary Data Engineer C2C jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Temporary Data Engineer C2C jobs in Arkansas look for?

The top searched job categories for Temporary Data Engineer C2C jobs in Arkansas are:

Temporary Data Engineer C2C jobs near you
Infographic showing various Temporary Data Engineer C2C job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer with GCP & Scala - Only W2

Saransh Inc

Bentonville, AR • On-site

$100K - $120K/yr

Contractor

Re-posted 24 days ago

Job description

Role: Data Engineer with GCP & Scala - Only W2
Location: Bentonville, AR (Onsite from Day 1)
Job Type: W2 Contract
 
Only W2 - No C2C (or) Third-party candidates
 

Mandatory Areas:
Must Have Skills – Data Engineer with Scala
Scala, Spark, Python, SQL, Bigdata, Hadoop
GCP data tools: BigQuery, Dataproc, Vertex AI, Pub/Sub, Cloud Functions
PySpark, Python, SparkSQL, and data modeling
 
Total IT Experience – Minimum 8 years
GCP - 4 + years of recent GCP experience
 
Description:
We are seeking a Data Engineer with Spark & SCALA.Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.
 
Responsibilities:
  • As a Senior Data Engineer, you will Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
  • Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
  • Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
  • Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.
 
Required Skills & Qualifications:
  • Programming: Strong proficiency in Python, SQL, and potentially Scala/Java.
  • Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
  • Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
  • Cloud: Familiarity with GCP, Azure data services.
  • Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
  • Tools: Experience with Airflow, Databricks, Docker, Kubernetes is a plus.