Job Title: Data Engineer (US Citizen Only)

Location: Remote

We are currently seeking candidates who meet the following qualifications

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines for data ingestion, processing, and storage.
• Collaborate with data scientists and analysts to understand data needs and implement solutions.
• Work with structured and unstructured data from various internal and external data sources.
• Optimize and manage data systems, ensuring data quality, integrity, and security.
• Create and maintain ETL processes to automate data collection and integration from multiple sources.
• Implement data solutions using modern technologies like Hadoop, Spark, Kafka, and cloud services (AWS, Azure, GCP).
• Monitor and troubleshoot performance issues related to data processing and provide solutions for data efficiency.
• Collaborate with cross-functional teams to implement best practices in data engineering and software development.
• Document and maintain technical specifications, process flows, and data architectures.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
• Experience in data engineering, software development, or related fields.
• Proficiency with data processing technologies such as SQL, Python, Scala, or Java.
• Experience with Big Data tools such as Hadoop, Spark, Kafka, or similar.
• Strong knowledge of ETL frameworks and data pipeline orchestration tools like Apache Airflow or Luigi.
• Experience in cloud services (AWS, Azure, Google Cloud) and cloud-based data warehouses (Redshift, BigQuery, Snowflake).
• Experience with relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, Cassandra, etc.
• Experience in data modeling, data warehousing, and OLAP principles.
• Strong problem-solving skills with a focus on data performance and scalability.
• Excellent communication skills and the ability to collaborate effectively with technical and non-technical teams.

Preferred Qualifications:

• Master's degree in Computer Science, Data Engineering, or a related field.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Experience in machine learning workflows and data integration for model training.
• Certification in cloud platforms like AWS Certified Big Data or Google Professional Data Engineer.
• Federal Experience is a plus.
• Required Security clearance.
  
  If you meet these qualifications, please submit your application via link provided in Linkedin.
  Kindly do not call the general line to submit your application.