Data Engineer

Guidehouse Inc.
San Antonio, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

San Antonio, United States of America

Tech stack

Geographic Information Systems
Agile Methodologies
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Continuous Integration
Information Engineering
Data Infrastructure
ETL
Data Security
Data Systems
Data Warehousing
Document-Oriented Databases
Hadoop
Python
Machine Learning
NoSQL
Robotic Automation Software
SQL Databases
Google Cloud Platform
Data Ingestion
Database Optimization
Spark
Database Performance
Build Management
Information Technology
Data Management
Data Pipelines
Devsecops
Databricks

Job description

  • Design and build ETL pipelines for AFIMSC data platforms.
  • Integrate data sources into cloud-based environments (Advana, VAULT, BLADE).
  • Ensure data quality, consistency, and governance across systems.
  • Support migration of civil engineering data platforms to cloud infrastructure.
  • Develop automated workflows for data ingestion and transformation.
  • Collaborate with data scientists to enable AI/ML model deployment.
  • Optimize database performance and implement indexing strategies.
  • Maintain secure data transfer protocols and compliance standards.
  • Document data architecture and integration processes.
  • Provide technical support for data-related issues and enhancements.

Requirements

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor's degree in Computer Science, Data Engineering, or related field.
  • FOUR (4) or more years of experience in data engineering and ETL development.
  • Proficiency in Python, SQL, and data pipeline tools (Databricks, Airflow).
  • Experience with cloud platforms (AWS, Azure, GCP).

What Would Be Nice To Have:

  • Master's degree in Data Engineering or related discipline.
  • Experience with big data technologies (Spark, Hadoop).
  • Knowledge of data warehousing and governance principles.
  • Strong understanding of relational and NoSQL databases.
  • Experience with API integration and data connectors.
  • Ability to troubleshoot and optimize data workflows.
  • Excellent communication and documentation skills.
  • Knowledge of DevSecOps and CI/CD for data pipelines.
  • Experience with advanced analytics platforms (Advana, VAULT).
  • Familiarity with geospatial data integration.
  • Certifications in cloud technologies (AWS, Azure).
  • Experience with robotic process automation tools.
  • Understanding of cybersecurity requirements for data systems.
  • Knowledge of Air Force or DoD data environments.
  • Experience in agile development methodologies.

Benefits & conditions

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
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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