

TekWissen ยฎ
Data Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Bentonville, AR, for a 6-month onsite contract at $50.00/hour. Required skills include Spark, Scala, Python, SQL, and GCP with 8 years of IT experience, including 4 years in GCP.
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
400
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๐๏ธ - Date
February 18, 2026
๐ - Duration
More than 6 months
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๐๏ธ - Location
On-site
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๐ - Contract
Unknown
-
๐ - Security
Unknown
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๐ - Location detailed
Bentonville, AR
-
๐ง - Skills detailed
#ML (Machine Learning) #Monitoring #Big Data #Redshift #SQL (Structured Query Language) #Scala #Batch #Data Warehouse #Data Ingestion #"ETL (Extract #Transform #Load)" #Spark SQL #Kafka (Apache Kafka) #Airflow #BigQuery #Data Accuracy #Data Architecture #Cloud #Kubernetes #Data Quality #Snowflake #Azure #Data Engineering #Databricks #Data Pipeline #NoSQL #SQL Queries #Programming #Databases #PySpark #Docker #Apache Spark #Data Lake #Data Processing #GCP (Google Cloud Platform) #Spark (Apache Spark) #Apache Kafka #Java #Python
Role description
Position: Data Engineer
Location: Bentonville, AR 72712
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Pay Rate: $50.00-50.00/Hourly
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
Job Description
โข 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
โข As a Senior Data Engineer, you will
โข 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).
โข Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
โข Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
โข Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.
Required Skills & Qualifications
โข Programming: Strong proficiency in Python, SQL, and potentially Scala/Java.
โข Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
โข Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
โข Cloud: Familiarity with GCP, Azure data services.
โข Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
โข Tools: Experience with Airflow, Databricks, Docker, Kubernetes is a plus.
Experience Level
โข Total IT Experience โ Minimum 8 years
โข GCP - 4 + years of recent GCP experience
TekWissenยฎ Group is an equal opportunity employer supporting workforce diversity.
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. Weโre founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.
Our global footprint covers six countries: United States, Canada, Australia, India, United Kingdom and the Philippines. This allows us to work in close partnership with organizations and manage everything from global talent needs with demanding resourcing strategies, to single sites with lower recruitment volumes.
TekWissenยฎ is an equal opportunity employer supporting workplace diversity.
Position: Data Engineer
Location: Bentonville, AR 72712
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Pay Rate: $50.00-50.00/Hourly
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
Job Description
โข 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
โข As a Senior Data Engineer, you will
โข 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).
โข Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
โข Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
โข Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.
Required Skills & Qualifications
โข Programming: Strong proficiency in Python, SQL, and potentially Scala/Java.
โข Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
โข Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
โข Cloud: Familiarity with GCP, Azure data services.
โข Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
โข Tools: Experience with Airflow, Databricks, Docker, Kubernetes is a plus.
Experience Level
โข Total IT Experience โ Minimum 8 years
โข GCP - 4 + years of recent GCP experience
TekWissenยฎ Group is an equal opportunity employer supporting workforce diversity.
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. Weโre founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.
Our global footprint covers six countries: United States, Canada, Australia, India, United Kingdom and the Philippines. This allows us to work in close partnership with organizations and manage everything from global talent needs with demanding resourcing strategies, to single sites with lower recruitment volumes.
TekWissenยฎ is an equal opportunity employer supporting workplace diversity.






