Senior Data Engineer/Developer

scolertec inc • United State
Remote
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AI Summary

We are seeking a Senior Data Engineer/Developer to support a federal agency. The role focuses on building secure, scalable, cloud-native data pipelines and services that enable analytics, reporting, and compliance-driven data products. The ideal candidate will have 7+ years of experience in software, data, or cloud engineering and strong experience designing and building enterprise-scale data pipelines.

Key Highlights
Design and implement near-real-time and batch data pipelines integrating data into Snowflake
Develop and maintain dimensional data models and downstream data marts
Collaborate with architects to implement logical and physical data models in Snowflake
Technical Skills Required
Snowflake SQL ETL/ELT frameworks AWS data and compute services Airflow Cloud messaging and storage services Agile/Scrum delivery environments Data governance, metadata, and classification standards
Benefits & Perks
Fully remote work
7+ years of experience in software, data, or cloud engineering
Bachelor's degree in Computer Science, Engineering, or related field

Job Description


****FULLY REMOTE ****


We are seeking a Senior Data Engineer / Developer to support a federal agency. This role is part of the Enterprise Data Warehouse (EDW) team and focuses on building secure, scalable, cloud-native data pipelines and services that enable analytics, reporting, and compliance-driven data products.



About the Role



The Senior Data Engineer / Developer is responsible for designing, developing, testing, and maintaining high-quality data engineering solutions aligned with federal standards and EDW modernization objectives.



Responsibilities



  • Design and implement near–real-time and batch data pipelines integrating data into Snowflake
  • Develop and maintain dimensional data models and downstream data marts
  • Build and support ETL/ELT workflows to meet reporting, analytics, and operational needs
  • Collaborate with architects to implement logical and physical data models in Snowflake
  • Develop secure, reusable, and testable data services and transformation logic
  • Integrate pipelines with cloud services, messaging, and storage platforms
  • Implement data quality checks, validations, and error-handling mechanisms
  • Optimize pipelines for performance, scalability, and cost efficiency
  • Support CI/CD-enabled deployments, automated testing, and environment promotion
  • Participate in code reviews, design reviews, and Agile ceremonies
  • Troubleshoot pipeline issues and perform root cause analysis
  • Produce and maintain technical documentation, runbooks, STTMs, and workflows
  • Ensure solutions meet federal security, governance, and audit requirements


Qualifications



  • 7+ years of experience in software, data, or cloud engineering
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Strong experience designing and building enterprise-scale data pipelines
  • Hands-on experience with Snowflake and advanced SQL
  • Experience with ETL/ELT frameworks and data transformation techniques
  • Experience with AWS data and compute services
  • Experience using Airflow or similar orchestration tools
  • Knowledge of cloud messaging and storage services
  • Experience supporting near–real-time or streaming data ingestion
  • Familiarity with Agile/Scrum delivery environments
  • Experience working in regulated or compliance-driven environments
  • Familiarity with data governance, metadata, and classification standards
  • Experience mentoring junior developers or engineers


Preferred Skills



  • Experience supporting federal EDW or analytics programs
  • Background in secure coding and system security best practices
  • Experience migrating or modernizing legacy data platforms
  • Experience with BI or reporting integrations (Tableau, SAP BO, or similar)


Preferred Certifications



  • Snowflake SnowPro Core
  • AWS Certified Data Analytics – Specialty
  • Relevant data engineering or programming certifications


Professional Skills



  • Strong written and verbal communication skills
  • Consultant mindset with the ability to engage senior stakeholders
  • Strong analytical and problem-solving abilities
  • Ability to work independently and collaboratively across multiple scrum teams


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