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AWS Data Engineer

ApTask

Tysons, VA(remote)

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JOB DETAILS
SKILLS
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache Avro, Apache Spark, Big Data, Cataloguing, Cloud Applications, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Formats, Data Management, Data Migration, Data Modeling, Data Processing, Data Quality, Data Science, Data Storage, Data Visualization Tools, Data Warehousing, Database Administration, Database Extract Transform and Load (ETL), Distributed Computing, Docker, Documentation, Electronic Medical Records, Git, Information Technology Consulting, Information/Data Security (InfoSec), JSON, Java, Maintain Compliance, Management of Information Systems/Technology (MIS), Network Security, NoSQL, Oracle, Performance Tuning/Optimization, Policy Implementation, PostgreSQL, Power BI, Privacy Controls, Privacy Regulations, Problem Solving Skills, Programming Languages, Project/Program Management, Python Programming/Scripting Language, Quality Monitoring, Relational Databases (RDBMS), SQL (Structured Query Language), Scala Programming Language, Short Messaging Service (SMS), Source Code/Configuration Management (SCM), Speech Technology, Systems Reliability, Tableau, Team Player, United States Citizen
LOCATION
Tysons, VA(remote)
POSTED
18 days ago
Role: AWS Data Engineer
Location: Remote

What You Will Do
  • We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment.
  • This role will work closely with our AWS Cloud DBA to create end-to-end data solutions to migrate data from legacy application to AWS cloud platform ensuring optimal performance and reliability.
  • The ideal candidate has hands-on experience with AWS data services, modern data architecture patterns, and can collaborate with database administrators, data scientists, and business stakeholders to deliver scalable data solutions.
  • Design and implement scalable data pipelines using AWS services including AWS Glue, Step Functions, Lambda, and Kinesis. Build ETL/ELT processes to ingest, transform, and load data from various sources into data warehouses and data lakes.
  • Architect and maintain data lakes using S3, implement data cataloging with AWS Glue Catalog, and optimize data storage formats (Parquet, Delta, etc.). Design data warehouse solutions using Redshift and integrate with existing RDS/Aurora databases managed by the DBA team.
  • Develop real-time and batch data processing solutions using Kinesis Data Streams, Kinesis Analytics, EMR, and AWS Batch.
  • Create and maintain data models, schemas, and documentation. Work with the DBA team to optimize data access patterns and query performance across relational and analytical databases.
  • Build automated data quality checks, monitoring, and alerting systems. Implement data governance policies and ensure compliance with data retention, privacy, and security requirements.
What You Will Need
  • US Citizenship pr Green Card is required and the ability to obtain a public trust clearance
  • Bachelor s degree in computer science, Data Engineering, or related field. Additional Four (4) expedience can be used in lieu of degree.
  • 5+ years of experience in data engineering with at least 3+ years working in AWS cloud environments
  • Strong expertise in AWS data services including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda
  • Proficiency in programming languages including Python, Scala, or Java for data processing and pipeline development
  • Experience with SQL and working knowledge of both relational databases (PostgreSQL, Oracle) and NoSQL systems (DynamoDB, DocumentDB)
  • Understanding of data modeling concepts for both transactional and analytical workloads
  • Experience with Infrastructure as Code tools (Terraform, CloudFormation, CDK) and CI/CD pipelines for data engineering workflows
  • Strong analytical and problem-solving skills with attention to data quality and system reliability
  • Proven ability to work collaboratively with database administrators, data scientists, and business stakeholders
What Would Be Nice To Have
  • AWS Certified Data Engineer Associate certification (Highly desirable)
  • AWS Certified Solutions Architect or other relevant AWS certifications
  • Familiarity with big data frameworks such as Apache Spark, Apache Airflow, or AWS-native orchestration tools
  • Knowledge of data formats (JSON, Avro, Parquet, ORC) and compression techniques for optimal storage and processing
  • Familiarity with version control systems (Git) and collaborative development practices
  • Knowledge of container orchestration (Docker, Kubernetes, ECS, EKS)
  • Experience with data visualization tools (QuickSight, Tableau, PowerBI)
  • Understanding of data privacy regulations (GDPR, CCPA) and compliance frameworks
  • Experience with performance tuning and optimization of distributed data processing systems
  • Knowledge of networking, security, and IAM policies as applied to data engineering workflows

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at

businessexcellence@aptask.com

.

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

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