Python Scripting Engineer

Python Scripting Engineer (Jobs in Raleigh, NC) Requirement id 157915 Job title Engineer Job location in Raleigh, NC Skills required Data Quality Assurance, ETL Processes, SQL Database, Python Scripting Open Date 07-Apr-2026 Close Date Job type Contract Duration 12 Months Compensation DOE Status requirement --- Job interview type --- Email Recruiter:coolsoft Job Description Engineer: Data Quality Assurance, ETL Processes, SQL Database, Python Scripting Start date :03/30/2026 End Date :03/26/2027 Submission deadline :04/13/2026 Client Info : NCDPI Note The manager would like the candidate to be onsite regularly throughout the position. The amount of onsite time per week will be negotiable. However, weekly onsite time will be required. Work Arrangement: Hybrid Agency Interview Type: Either Webcam Interview or In Person Description We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality assurance, quality checking, and ETL processes. The successful candidate will be responsible for ensuring the integrity and accuracy of data transferred from a shared file transfer service to an S3 bucket and subsequently into and through our Snowflake data platform. This data will be utilized by downstream applications and reporting systems. These applications and the corresponding consumed data are critical to business process execution. Key Responsibilities Quality Assurance & Quality Checking: Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process. ETL Processes: Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake. Data Integration: Ensure seamless data integration into data platform, enabling efficient consumption by downstream applications and reporting tools. Data Quality Management: Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts. Collaboration: Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions. Monitoring & Troubleshooting: To preserve data flow and integrity, monitor pipelines, identify issues, and implement solutions. Qualifications (Knowledge/Skills/Abilities): Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes. Expertise in Python, PyPI, and SQL Expert analytical and problem-solving skills. Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity. Understanding of fundamental public-cloud capabilities. Proven capacity to comprehend business needs and convert them into technical requirements. Demonstrated excellence in communication and collaboration abilities. Proven capacity to define success, deliver, and operate in an agile setting. Call502-379-4456 Ext 100for more details. Please provide Requirement id: 157915 while calling. EOE Protected Veterans/Disability