Aurora Engineer Jobs

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1d ago

AWS Cloud Data Engineer

System One McLean, VA 🇺🇸 Remote

McLean, VA

1d ago

Contract Amazon Emr Amazon Rds Amazon Web Services

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Job Description

System One is seeking an AWS Cloud Data Engineer to design, build, and maintain scalable data pipelines in AWS, with a focus on ETL and ELT, data modeling, governance, and data quality. This remote, long-term contract role is based in McLean, Virginia and requires the ability to obtain a Federal Public Trust clearance.

Responsibilities

Design, develop, and sustain scalable data pipelines and processing solutions inside AWS environments.
Collaborate with AWS cloud DBAs and cross-functional teams to migrate data from legacy systems to AWS while preserving performance, reliability, and security.
Build ETL and ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytic platforms.
Leverage AWS data services such as S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora in data engineering workflows.
Create and maintain data models, schemas, technical documentation, and data access patterns for both transactional and analytical workloads.
Establish data quality checks, monitoring, alerts, 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 and relational databases such as PostgreSQL or Oracle, plus NoSQL databases like DynamoDB or DocumentDB.
An understanding of data modeling concepts for transactional and analytical workloads.
Experience with Infrastructure as Code tools (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.

Technologies

AWS services: S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, Aurora
Programming: Python, Scala, Java
Databases: PostgreSQL, Oracle, DynamoDB, DocumentDB
Infrastructure as Code and CI/CD: Terraform, CloudFormation, CDK
Big data tooling: Apache Spark, Apache Airflow, AWS-native orchestration tools
Version control and containers: Git, Docker, Kubernetes, ECS, EKS
BI and visualization: QuickSight, Tableau, Power BI
Data formats and processing: JSON, Avro, Parquet, ORC

Benefits

Medical, dental, and vision insurance
Spending accounts
Life insurance and voluntary plans
401(k) retirement plan

NICE TO HAVE

AWS Certified Data Engineer – Associate or other relevant AWS certifications (e.g., AWS Solutions Architect)
Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools
Knowledge of data formats such as JSON, Avro, Parquet, ORC and related compression techniques
Familiarity with Git and collaborative development practices
Experience with container technologies such as Docker, Kubernetes, ECS, or EKS
Experience with data visualization tools like 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

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