BEPC Inc. - Business Excellence Professional Consulting

Sr. Data Engineer - 29472_P

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer, a 6-month W2 contract, 100% remote, with a pay rate of $50.00 – $55.00/hour. Requires 3+ years in data engineering, proficiency in SQL and Python, and experience with cloud platforms (AWS, Azure, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date
March 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Raritan, NJ 08869
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🧠 - Skills detailed
#Computer Science #Consulting #Data Processing #Data Governance #Project Management #Scala #AWS (Amazon Web Services) #Spark (Apache Spark) #Datasets #Cloud #Data Quality #Database Design #ML (Machine Learning) #SQL (Structured Query Language) #Data Pipeline #Security #Database Systems #Compliance #"ETL (Extract #Transform #Load)" #Azure #Data Science #Data Engineering #Databases #GCP (Google Cloud Platform) #Python #Big Data #Data Architecture #Databricks #Apache Spark
Role description
Job Title: Data EngineerLocation: 100% RemoteEmployment Type: W2 Contract, 6 Month Contract with possibility of extensionPay Rate: $50.00 – $55.00/hour Role Overview:BEPC is seeking a Data Engineer to support our client by designing, building, and optimizing scalable data pipelines and architectures. This role is ideal for a technically strong professional who thrives in a collaborative environment and enjoys working with large datasets, cloud platforms, and modern data technologies to drive business insights. Key Responsibilities: Design, develop, and maintain ETL pipelines for large-scale structured and unstructured data. Build and optimize data architectures, models, and database systems for performance and scalability. Develop data solutions using cloud platforms (AWS, Azure, or GCP). Collaborate with cross-functional teams to translate business needs into technical solutions. Ensure data quality, integrity, and security, especially with sensitive datasets. Integrate data from multiple sources including databases, APIs, and flat files. Support analytics and machine learning initiatives with clean, reliable datasets. Troubleshoot and resolve data pipeline and performance issues. Document systems, workflows, and processes for maintainability and knowledge sharing. Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. 3+ years of experience in data engineering or similar roles. Strong experience with ETL processes and data pipeline development. Proficiency in SQL and Python. Experience with Databricks, Apache Spark, or similar big data tools. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong understanding of database design and optimization. Experience working with large-scale and distributed data systems. Advanced English communication skills. Preferred Qualifications: Experience with real-time data processing or streaming technologies. Familiarity with industrial data systems (e.g., PLCs, LabVIEW). Exposure to machine learning workflows or data science collaboration. Knowledge of data governance and compliance standards. About BEPC:BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth. Apply Now!If you have a strong background in data engineering and enjoy building scalable, high-impact data solutions, we encourage you to apply. Please submit an up-to-date resume with specific examples of your ETL, cloud, and big data experience. USOPS Pay: $50.00 - $55.00 per hour Benefits: Dental insurance Health insurance Life insurance Vision insurance Education: Bachelor's (Preferred) Experience: data engineering or similar roles: 3 years (Required) ETL processes and data pipeline development: 3 years (Required) SQL and Python: 3 years (Required) Databricks, Apache Spark, or similar big data tool: 3 years (Required) cloud platforms (AWS, Azure, or GCP): 3 years (Required) large-scale and distributed data systems: 3 years (Required) Shift availability: Day Shift (Preferred) Work Location: In person