Data Engineer

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 crossfunctional teams to implement best practices in data engineering and software development.
• Document and maintain technical specifications process flows and data architectures.

Qualifications:

• Bachelors 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 cloudbased 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 problemsolving skills with a focus on data performance and scalability.
• Excellent communication skills and the ability to collaborate effectively with technical and nontechnical teams.

Preferred Qualifications:

• Masters 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.