About the role
Data Engineer Permanent Position!
Job Summary:
SAR TECH LLC is seeking a qualified Data Engineer for a full-time position based in Plano, Texas. The selected candidate will be responsible for designing, developing, implementing, and maintaining scalable data infrastructure, cloud-based data processing solutions, and enterprise data pipelines supporting business analytics and operational reporting initiatives.
Job Duties:
The Data Engineer will perform the following duties and responsibilities, including but not limited to:
• Design, develop, and maintain scalable data processing architectures for large volumes of structured and unstructured data utilizing Amazon Web Services (AWS).
• Develop and manage distributed data pipelines using Apache Spark and Databricks to support batch and near real-time data processing operations.
• Build and maintain ETL/ELT workflows utilizing Delta Lake technologies to support ACID-compliant lakehouse data architecture.
• Design, implement, and optimize logical and physical data models, schemas, and storage structures within Snowflake environments for analytics and reporting purposes.
• Perform data ingestion and integration from various sources, including relational databases, APIs, flat files, and streaming platforms.
• Implement data validation procedures, monitoring frameworks, and quality assurance controls to ensure accuracy, integrity, and reliability of enterprise data systems.
• Analyze and optimize performance of large-scale distributed processing jobs, SQL queries, and cloud-based data workloads.
• Apply data governance, security, and compliance standards, including role-based access controls, encryption protocols, and data protection measures.
• Automate infrastructure deployment and operational workflows using CI/CD pipelines and Infrastructure as Code (IaC) methodologies.
• Troubleshoot, diagnose, and resolve issues affecting production data pipelines, workflows, and cloud-based processing systems.
• Collaborate with cross-functional teams, including data analysts, software engineers, business stakeholders, and data scientists, to support enterprise data initiatives and business intelligence objectives.
• Perform additional duties and responsibilities as assigned by management.
Minimum Requirements:
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a closely related field.
• Related experience in data engineering, data warehousing, ETL/ELT development, or cloud-based data processing environments.
• Experience working with Amazon Web Services (AWS), Databricks, Apache Spark, Delta Lake, and Snowflake technologies.
• Strong knowledge of SQL, database design, data modeling, and query optimization techniques.
• Experience processing and managing structured and unstructured datasets.
• Experience with data ingestion and integration from relational databases, APIs, and streaming platforms.
• Knowledge of data validation methodologies, monitoring frameworks, troubleshooting, and production support for enterprise data pipelines.
• Understanding of data governance principles, security protocols, encryption standards, and role-based access controls.
• Experience with CI/CD pipelines and Infrastructure as Code tools is preferred.
• Strong analytical, problem-solving, organizational, communication, and teamwork skills.
Benefits:
SAR TECH LLC offers company-standard benefits, including:
• Medical Insurance
• 401(k) Retirement Plan
Application Process:
To apply, please submit your resume via email to: hr@sar-tech.net
Full time
Job Summary:
SAR TECH LLC is seeking a qualified Data Engineer for a full-time position based in Plano, Texas. The selected candidate will be responsible for designing, developing, implementing, and maintaining scalable data infrastructure, cloud-based data processing solutions, and enterprise data pipelines supporting business analytics and operational reporting initiatives.
Job Duties:
The Data Engineer will perform the following duties and responsibilities, including but not limited to:
• Design, develop, and maintain scalable data processing architectures for large volumes of structured and unstructured data utilizing Amazon Web Services (AWS).
• Develop and manage distributed data pipelines using Apache Spark and Databricks to support batch and near real-time data processing operations.
• Build and maintain ETL/ELT workflows utilizing Delta Lake technologies to support ACID-compliant lakehouse data architecture.
• Design, implement, and optimize logical and physical data models, schemas, and storage structures within Snowflake environments for analytics and reporting purposes.
• Perform data ingestion and integration from various sources, including relational databases, APIs, flat files, and streaming platforms.
• Implement data validation procedures, monitoring frameworks, and quality assurance controls to ensure accuracy, integrity, and reliability of enterprise data systems.
• Analyze and optimize performance of large-scale distributed processing jobs, SQL queries, and cloud-based data workloads.
• Apply data governance, security, and compliance standards, including role-based access controls, encryption protocols, and data protection measures.
• Automate infrastructure deployment and operational workflows using CI/CD pipelines and Infrastructure as Code (IaC) methodologies.
• Troubleshoot, diagnose, and resolve issues affecting production data pipelines, workflows, and cloud-based processing systems.
• Collaborate with cross-functional teams, including data analysts, software engineers, business stakeholders, and data scientists, to support enterprise data initiatives and business intelligence objectives.
• Perform additional duties and responsibilities as assigned by management.
Minimum Requirements:
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a closely related field.
• Related experience in data engineering, data warehousing, ETL/ELT development, or cloud-based data processing environments.
• Experience working with Amazon Web Services (AWS), Databricks, Apache Spark, Delta Lake, and Snowflake technologies.
• Strong knowledge of SQL, database design, data modeling, and query optimization techniques.
• Experience processing and managing structured and unstructured datasets.
• Experience with data ingestion and integration from relational databases, APIs, and streaming platforms.
• Knowledge of data validation methodologies, monitoring frameworks, troubleshooting, and production support for enterprise data pipelines.
• Understanding of data governance principles, security protocols, encryption standards, and role-based access controls.
• Experience with CI/CD pipelines and Infrastructure as Code tools is preferred.
• Strong analytical, problem-solving, organizational, communication, and teamwork skills.
Benefits:
SAR TECH LLC offers company-standard benefits, including:
• Medical Insurance
• 401(k) Retirement Plan
Application Process:
To apply, please submit your resume via email to: hr@sar-tech.net
Full time
Requirements
Data Engineer
Ability to work in a project driven environment
Ability to work in a project driven environment
SAR Tech LLC is an equal opportunity employer. Applicants must be legally authorised to work in the United States.