Guidehouse

AWS Cloud Data Engineer

Guidehouse • $100K — $130K *
San Antonio, TX 78228In-Person
Information Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • US Citizenship or Green Card required
  • Ability to obtain and maintain a Federal or DoD 'PUBLIC TRUST' clearance
  • Bachelor's degree in computer science, Data Engineering, or related field (or equivalent experience)
  • Minimum 6 years of data engineering experience with 3+ years in AWS environments
  • Strong expertise in AWS data services (S3, Glue, Redshift, etc.)
  • Proficiency in Python, Scala, or Java for data pipeline development
  • Experience with SQL and both relational and NoSQL databases.

Responsibilities

  • Design, build, and maintain data pipelines in AWS cloud environment
  • Collaborate with AWS Cloud DBA to migrate legacy data to AWS
  • Implement scalable data processing solutions using AWS services
  • Architect and maintain data lakes and optimize storage formats
  • Develop real-time and batch data processing solutions
  • Create data models and optimize data access patterns
  • Build automated data quality checks and ensure compliance with governance policies.

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Tuition Reimbursement and Learning Opportunities
  • Employee Assistance Program
  • Corporate Sponsored Events & Community Outreach.
Full Job Description
Job Family:
Software Development & Support

Travel Required:
Up to 10%

Clearance Required:
Ability to Obtain Public Trust

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 or Green Card is required.
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor's degree in computer science, Data Engineering, or related field. Additional Four (4) experience can be used in lieu of degree.
  • Minimum SIX (6) 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


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:
  • 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.)
  • Position may be eligible for a discretionary variable incentive bonus


About Guidehouse

Guidehouse is a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Business Services
Founded
2018
* Ladders Estimates

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