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14d ago

AWS Cloud Data Engineer

System One McLean, VA 🇺🇸 Remote

McLean, VA

14d ago

Contract Amazon Emr Amazon Rds Amazon Web Services

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Job Description

System One presents a remote, long-term contract opportunity for an AWS Cloud Data Engineer based in McLean, VA. In this role you will design, build, and maintain scalable data pipelines in AWS, with a focus on ETL/ELT, data modeling, governance, and data quality. A Federal Public Trust clearance is required.

Benefits

Medical insurance
Dental insurance
Vision insurance
Spending accounts
Life insurance
Voluntary plans
401(k) plan

Responsibilities

Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
Collaborate 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 substitute 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.

Technologies

S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, Aurora
Python, Scala, Java
SQL, PostgreSQL, Oracle
DynamoDB, DocumentDB
Terraform, CloudFormation, CDK
Apache Spark, Apache Airflow
Git, Docker, Kubernetes, ECS, EKS
QuickSight, Tableau, Power BI
JSON, Avro, Parquet, ORC

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1mo ago

Full Stack Developer - Clearance Required

Logistics Management Institute Remote 🌍 Remote

Remote

1mo ago Closed

Full time Backend Developer Amazon Rds API

This position is no longer accepting applications (closed Jul 17, 2026).