AWS Data Engineer

Guidehouse

AWS Data Engineer designing, building, and maintaining data pipelines in the AWS environment. Collaborating with teams to deliver efficient, scalable data solutions and ensuring data quality and compliance.

Posted 5/28/2026full-timeRemote • District of Columbia, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $89,000 - $148,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudDynamoDBETLJavaNoSQLOraclePostgresPythonScalaSQLTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

US Citizenship or Green Card Holder.
A Bachelor's degree or additional four(4) years of relevant experience will be needed in lieu of degree.
A minimum of Four (4) to Eight(8) years of experience in data engineering with at least 2+ 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.

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringAWS GlueAWS Step FunctionsAWS LambdaAWS KinesisETLdata modelingSQLPythonTerraform

Soft Skills

analytical skillsproblem-solving skillsattention to detailcollaborationcommunication