Data Engineer​/Architect

Job
-1

Job Title:

Data Engineer/Architect
Location:
Remote
Duration: 6+ months
Rate Range: $50.00 - $60/hour on W2/ C2C (All inclusive)

Job Description:
We are seeking an experienced Data Engineer / Data Architect with strong expertise in Snowflake, Oracle SQL, cloud platforms, and modern data engineering frameworks. The ideal candidate will design and implement scalable data architectures, build high-performance ELT/ETL pipelines, and enable enterprise-wide analytics and reporting solutions.

This role requires deep technical proficiency in data warehousing, cloud ecosystems, data governance, and collaboration with cross-functional business and technical teams.

• Design and implement enterprise-scale data architectures and integration strategies.

• Develop conceptual, logical, and physical data models including star and snowflake schemas.

• Build, optimize, and maintain scalable ELT/ETL pipelines for batch and real-time processing.

• Work extensively with Snowflake, Oracle SQL, and cloud-based data platforms.

• Design and manage data lakes, warehouses, and data marts to support analytics and reporting.

• Ensure data quality, governance, security, and compliance with standards such as GDPR and HIPAA.

• Collaborate with business stakeholders, analysts, and data scientists to translate business requirements into technical solutions.

• Optimize SQL queries, database performance, and data processing workflows.

• Implement orchestration and workflow automation using tools such as Airflow, dbt, or similar technologies.

• Support cloud migration and modernization initiatives across AWS, Azure, or Google Cloud environments.

• 5 10+ years of experience in Data Engineering, Data Architecture, or Software Engineering.

• Strong programming skills in Python, Java, or Scala.

• Expert-level SQL skills with extensive experience in Oracle SQL.

• Hands-on expertise with Snowflake and modern cloud data warehouses.

• Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.

• Strong understanding of data modeling, ETL/ELT, and data warehousing concepts.

• Experience with orchestration and streaming tools such as Apache Kafka, Airflow, and dbt.

• Knowledge of data governance, security frameworks, and access control mechanisms.

• Excellent problem-solving, communication, and stakeholder management skills.
  
  Company Benefits & Culture

• Competitive salary and benefits package
• Supportive and collaborative work environment

• For immediate consideration please click APPLY to begin the screening process with Alex.

• Opportunities for professional growth and development