Data Engineer

Remote in Fairfax, VA, US • Posted 8 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Agile
  • Amazon RDS
  • Amazon Redshift
  • Amazon S3
  • Amazon Web Services
  • Analytical Skill
  • Ansible
  • Artificial Intelligence
  • Cloud Computing
  • Cloud Storage
  • Collaboration
  • Communication
  • Computer Science
  • Conflict Resolution
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Data Flow
  • Data Governance
  • Data Integration
  • Data Integrity
  • Data Manipulation
  • Data Quality
  • Data Warehouse
  • Database
  • DevOps
  • Documentation
  • Electronic Health Record (EHR)
  • Extract
  • Transform
  • Load
  • FOCUS
  • GitHub
  • Information Systems
  • Git
  • Leadership
  • Management
  • NoSQL
  • Oracle
  • Performance Tuning
  • Pivotal
  • PostgreSQL
  • Problem Solving
  • Relational Databases
  • PySpark
  • Python
  • Query Optimization
  • Regulatory Compliance
  • Remote Desktop Services
  • SQL
  • Scripting
  • Security Clearance
  • Shell Scripting

Summary

Role: Data Engineer

Location: Remote (Fairfax, VA)

Duration: Long Term Contract

 

Position Summary:

The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving.

Primary Responsibilities:

  • Pipeline Design & Development: Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies.
  • Data Transformation: Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies.
  • Data Store Management: Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR.  Focus on performance tuning and query optimization.
  • Automation & Monitoring: Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution.
  • Data Quality Assurance: Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity.
  • Documentation: Create and maintain comprehensive documentation for ETL processes, data models, and system configurations.
  • Collaboration: Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions.
  • Future-Proofing: Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes.
  • All other duties as assigned by leadership.

Skills and Qualifications:

  • ETL development with Glue ETL, Python, Pyspark, RDS.
  • Solid understanding of data governance principles and data quality best practices.
  • Ability to work independently and as part of a collaborative team in an Agile environment.
  • Excellent problem-solving, analytical, and communication skills.

Required Education and Experience:

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in data integration, ETL development, and data warehousing.
  • Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases.
  • Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation.
  • Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR.
  • Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering.

Required Certifications:

  • AWS certification (Minimum - Cloud Practitioner, AI Practitioner)

Clearance Requirement:

  • Ability to obtain a favorable Public Trust investigation

Work Location:

  • Fairfax, VA/Remote
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91141616
  • Position Id: 8913889
  • Posted 8 hours ago
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