Senior Data Engineer (Big Data)

Job Title: Senior Data Engineer (Teradata / Ab Initio / BigQuery)


Location: Charlotte, NC (Hybrid) 3 days in Office, 2 Remote
Duration: 12-month contract (potential to extend)
Rate: Competitive


Overview


We are seeking a Senior Data Engineer with strong experience in Teradata, Ab Initio ETL, and cloud data platforms to support large-scale enterprise data initiatives.


This role will focus on data engineering, ETL development, and cloud migration , working across complex datasets to deliver scalable, high-performance data solutions.


Key Responsibilities

• Design, develop, and maintain ETL pipelines using Ab Initio
• Work extensively with Teradata for data processing, modeling, and optimization
• Develop and optimize advanced SQL queries for large-scale data environments
• Support migration and integration with cloud platforms , including Google BigQuery
• Build and maintain data pipelines for enterprise data solutions
• Collaborate with cross-functional teams to deliver data-driven solutions
• Ensure data quality, integrity, and performance optimization
• Support deployment automation and DevOps practices in cloud environments
• Participate in Agile/Scrum ceremonies and contribute to sprint deliverables

Required Qualifications

• 7+ years of experience in software engineering or data engineering
• 7+ years of experience working with Teradata
• 5+ years of experience with Ab Initio ETL development
• 5+ years of experience with advanced SQL
• 5+ years of experience with cloud computing platforms
• 3+ years of experience with Google BigQuery

Preferred Qualifications

• 5+ years of experience with Spark, PySpark, or Python
• 3+ years of experience with DevOps, CI/CD, and cloud deployment automation
• 3+ years of experience working in Agile environments
• Strong understanding of Google Cloud Platform (GCP)
• Cloud certifications (GCP, AWS, or Azure)
• Experience working in large enterprise or regulated environments
• Strong analytical and problem-solving skills

Key Skills & Traits

• Strong data engineering and ETL expertise
• Excellent SQL and data analysis capabilities
• Ability to work with large, complex datasets
• Strong communication and stakeholder collaboration skills
• Ability to present complex data insights clearly
• Proven ability to manage and resolve complex data challenges