Job Requirements
Remote
Public Trust Polygraph not specified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Job Title: AWS Cloud Data Engineer
Location: McLean, VA
Type: Long-term contract
Work Model: Remote
Hours: 40.0
Security Clearance: Ability to obtain a Federal Public Trust clearance
Contact: Crystal.dinnocenti@systemone.com
RESPONSIBILITIES
• Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
• Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
• Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
• Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
• Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
• Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
• Ability to obtain a Federal Public Trust clearance.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
• Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
• Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
• Proficiency in Python, Scala, or Java for data processing and pipeline development.
• Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
• Understanding of data modeling concepts for transactional and analytical workloads.
• Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
• Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
• AWS Certified Data Engineer – Associate certification.
• AWS Certified Solutions Architect or other relevant AWS certifications.
• Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
• Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
• Familiarity with Git and collaborative development practices.
• Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
• Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
• Understanding of data privacy regulations and compliance frameworks.
• Experience tuning and optimizing distributed data processing systems.
• Knowledge of networking, security, and IAM policies related to data engineering workflows.
Location: McLean, VA
Type: Long-term contract
Work Model: Remote
Hours: 40.0
Security Clearance: Ability to obtain a Federal Public Trust clearance
Contact: Crystal.dinnocenti@systemone.com
RESPONSIBILITIES
• Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
• Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
• Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
• Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
• Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
• Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
• Ability to obtain a Federal Public Trust clearance.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
• Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
• Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
• Proficiency in Python, Scala, or Java for data processing and pipeline development.
• Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
• Understanding of data modeling concepts for transactional and analytical workloads.
• Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
• Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
• AWS Certified Data Engineer – Associate certification.
• AWS Certified Solutions Architect or other relevant AWS certifications.
• Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
• Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
• Familiarity with Git and collaborative development practices.
• Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
• Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
• Understanding of data privacy regulations and compliance frameworks.
• Experience tuning and optimizing distributed data processing systems.
• Knowledge of networking, security, and IAM policies related to data engineering workflows.
group id: 10295162