Data Engineer

CareerCircle
McLean, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 188K

Job location

McLean, United States of America

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Confluence
JIRA
Azure
Big Data
Cloud Computing
Collaborative Software
Continuous Integration
Data Architecture
Information Engineering
ETL
Data Migration
Data Visualization
DevOps
Document-Oriented Databases
Elasticsearch
Electronic Data Capture
Github
R
Python
PostgreSQL
Machine Learning
Maven
Metadata
Microsoft SQL Server
MongoDB
MySQL
NoSQL
Oracle Applications
Software Tools
Cloud Services
Salesforce
Simple Object Access Protocol (SOAP)
Software Engineering
SQL Stored Procedures
SQL Databases
Tableau
Workflow Management Systems
Data Logging
Data Processing
System Availability
Spring-boot
GIT
SC Clearance
Containerization
PySpark
Kubernetes
Information Technology
Collibra
Bitbucket
Cloud Migration
Api Design
Cloudwatch
Kibana
REST
Amazon Web Services (AWS)
Splunk
Software Version Control
Data Pipelines
Docker
Jenkins
Redshift
Databricks
Programming Languages
Microservices

Job description

NoSQL MySQL CI/CD Loans Splunk Github Kibana MongoDB Jenkins PySpark Amazon S3 Pipelines Consulting Kubernetes Databricks PostgreSQL Scalability RESTful API Spring Boot Data Quality Data Science Apache Maven Communication Microservices Data Modeling Cloud Services Data Migration Data Pipelines Version Control Microsoft Azure Data Processing Amazon Redshift Machine Learning Containerization Data Engineering Stored Procedure Agile Methodology Docker (Software) Amazon CloudWatch Data Visualization Workflow Management Amazon Web Services Software Development Programming Languages Emerging Technologies Collaborative Software Artificial Intelligence SQL (Programming Language) Java (Programming Language) Git (Version Control System) Extract Transform Load (ETL) Python (Programming Language) Ethical Standards And Conduct Troubleshooting (Problem Solving) Application Programming Interface (API) Tableau (Business Intelligence Software), Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.

  • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.
  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.
  • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.
  • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).
  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
  • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).
  • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.
  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.
  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps., Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Related Jobs Data Engineer Guidehouse McLean, VA*On-Site JIRA NoSQL MySQL CI/CD Loans Splunk Github Kibana MongoDB Jenkins PySpark Amazon S3 Pipelines Consulting Kubernetes Databricks PostgreSQL Scalability RESTful API Spring Boot Data Quality Data Science Apache Maven Communication Microservices Data Modeling Cloud Services Data Migration Data Pipelines Version Control Microsoft Azure Data Processing Amazon Redshift Machine Learning Containerization Data Engineering Stored Procedure Agile Methodology Docker (Software) Amazon CloudWatch Data Visualization Workflow Management Amazon Web Services Software Development Programming Languages Emerging Technologies Collaborative Software Artificial Intelligence SQL (Programming Language) Java (Programming Language) Git (Version Control System) Extract Transform Load (ETL) Python (Programming Language) Ethical Standards And Conduct Troubleshooting (Problem Solving) Application Programming Interface (API) Tableau (Business Intelligence Software) +0

Salesforce Developer Junior Data Engineer Guidehouse Arlington, VA*On-Site Loans Triage Metadata Pipelines Automation Communication Microsoft Azure Defect Tracking Client Security Computer Science Data Engineering Secret Clearance Agile Methodology Workflow Management Systems Engineering Amazon Web Services Collibra (Software) Alation Data Catalog Technical Documentation R (Programming Language) SQL (Programming Language) Verbal Communication Skills Extract Transform Load (ETL) Python (Programming Language) Ethical Standards And Conduct Electronic Data Capture (EDC) Troubleshooting (Problem Solving) Application Programming Interface (API) +0

Salesforce Developer Junior Data Engineer Guidehouse McLean, VA*On-Site Loans Triage Metadata Pipelines Automation Communication Microsoft Azure Defect Tracking Client Security Computer Science Data Engineering Secret Clearance Agile Methodology Workflow Management Systems Engineering Amazon Web Services Collibra (Software) Alation Data Catalog Technical Documentation R (Programming Language) SQL (Programming Language) Verbal Communication Skills Extract Transform Load (ETL) Python (Programming Language) Ethical Standards And Conduct Electronic Data Capture (EDC) Troubleshooting (Problem Solving) Application Programming Interface (API) +0

Requirements

  • U.S. Citizenship/ Green Card is required.
  • A bachelor's degree is required.
  • Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles.
  • Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
  • Strong hands-on experience designing and developing data pipelines and ETL processes.
  • Extensive experience with relational and NoSQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development.
  • Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS.
  • Experience working with Databricks and large-scale data processing environments.
  • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.
  • Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, GitHub, and Bitbucket.
  • Hands-on experience with monitoring and logging tools, including Splunk, CloudWatch, Kibana, and Elasticsearch.
  • Proven experience operating in Agile development environments.
  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
  • Ability to work independently in a fast-paced environment.
  • Strong analytical and troubleshooting skills.
  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.

What Would Be Nice To Have:

  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Certifications in AWS, or other cloud/data engineering domains.
  • Experience with data visualization tools (e.g., Kibana, Tableau).
  • Familiarity with security best practices and compliance in federal environments.
  • Experience with microservices, Spring Boot, and integration of AI/ML components.
  • Previous consulting experience

Benefits & conditions

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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
  • 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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