Skysoft Inc.

Data Engineer-W2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (W2) in Bentonville, AR, with a 6-month contract to hire. Key skills include GCP, Apache Spark, Airflow, and SQL. Requires 3-5 years of data engineering experience and proficiency in ETL/ELT processes.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
-
🗓️ - Date
June 26, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Bentonville, AR
-
🧠 - Skills detailed
#Spark (Apache Spark) #Forecasting #Data Quality #"ETL (Extract #Transform #Load)" #Monitoring #SQL (Structured Query Language) #Data Pipeline #Dataflow #Cloud #Data Engineering #GCP (Google Cloud Platform) #Documentation #Storage #Scala #Data Access #ML (Machine Learning) #Apache Spark #AI (Artificial Intelligence) #Airflow #Apache Airflow #SQL Queries #Data Processing
Role description
Greetings from Skysoft! Position: Data Engineer Location: Bentonville, AR – Hybrid work 3/2 days Visa: USC or Green Card (ONLY) Duration: 6 Months Contract to Hire Permanent Must Haves: • GCP • SPARK • Airflow • SQL • GCP Data services • AI/ML IS A super nice to have KEY RESPONSIBILITIES • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow • Develop and maintain Big Query data models, schemas, and performance-optimized SQL queries • Build and maintain data pipelines feeding AI/ML feature stores and forecasting models • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training • Manage and optimize Cloud Composer DAGs and pipeline orchestration • Implement data quality monitoring, alerting, and lineage tracking • Participate in data platform architecture decisions and documentation REQUIRED QUALIFICATIONS • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience • Hands-on experience with Apache Airflow for pipeline orchestration • Proficiency in Apache Spark for large-scale data processing • Strong SQL skills including complex query optimization and Big Query-specific capabilities • Experience with GCP data services: Big Query, Cloud Storage, Pub/Sub, Dataflow • Solid understanding of ETL/ELT patterns and data warehousing principles.