BCforward

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a W2 contract in Wilmington, DE, requiring 10+ years of software engineering experience. Key skills include Java J2EE, PySpark, AWS services, and Agile methodologies. No sponsorship available; onsite work required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Wilmington, DE
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Consulting #Data Engineering #Databricks #Java #Security #Terraform #Python #Cloud #S3 (Amazon Simple Storage Service) #Shell Scripting #Scripting #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Pipeline #Lambda (AWS Lambda) #PySpark #Airflow #RDS (Amazon Relational Database Service) #Unix #Agile
Role description
Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship • Employment TYPE: Contract W2 & Contract Independent - NO C2C Job Title: Data Engineering Location: Wilmington, DE - Onsite About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Data Engineer to join our dynamic team. The ideal candidate will have strong experience in Java J2EE, PySpark/Spark, ETL and streaming pipelines, and AWS services and a proven ability to design, develop, test, deploy, maintain, and improve resilient and secure software solutions within Agile frameworks. Responsibilities: • Design, develop, and maintain Python or Java J2EE and Spark-based applications and data pipelines. • Build and operate ETL and streaming pipelines using PySpark/Spark and AWS services. • Implement CI/CD, TDD, and secure coding practices to ensure application resiliency. • Develop, schedule, and monitor workflows using Databricks and Airflow. Required Skills & Qualifications: • Proficiency in Java J2EE and one or more general-purpose languages such as Python (preferred) or Java. • Extensive hands-on experience with PySpark/Spark for ETL and streaming pipelines. • Experience with AWS services including EMR, Lambda, S3, and RDS. • Experience with Databricks and Airflow for data engineering workflows. • Understanding of Agile methodologies and work within common Agile frameworks. • Knowledge of CI/CD, TDD, cloud development, application resiliency, and security practices. • 10+ years of applied software engineering experience with formal training or certification. Preferred Skills: • Shell scripting and Unix systems experience. • Terraform proficiency for infrastructure management. Familiarity with modern LLM techniques and practical use case development.