W2; Gc,Usc, EAD Senior ETL Data Engineer

Interested candidates should email their resume to , along with work authorization information, current location, availability, and compensation details. Please reference the specific job title and job location in your email.

Contract. Visa: USC, EAD, GC on W2.

The Senior Data Engineer is responsible for orchestrating, deploying, maintaining, and scaling cloud and/or on-premise infrastructure supporting big data and enterprise data platforms (Relational and No

SQL, distributed and converged systems).

• Reliability
• Automation
• Performance optimization
• Delivering data-driven insights and business value

• Develop and maintain data infrastructure systems (data warehouses, data lakes).
• Build and maintain data access APIs.
• Prepare and manipulate data using multiple technologies.

• Interpret and analyze data using statistical techniques.
• Deliver ongoing reports and actionable insights.
• Support data-driven decision-making for key projects.
• Design and execute quality control procedures across multiple systems.

• Develop logical and physical data models.
• Evaluate and enhance data warehouse architecture.
• Apply metadata standards and modeling conventions.
• Plan data classes, indexing, replication, backup, retention, and recovery strategies.

• Create frameworks for structured and unstructured data collection.

• Stay current with emerging technologies and best practices.
• Participate in professional workshops and industry networking.

• Apply data extraction, transformation, and loading techniques.
• Integrate large datasets from multiple sources.

• Implement best practices in:
  • Data auditing
  • Scalability
  • Reliability
  • Application performance

• Bachelor’s Degree in:
  • Computer Science
  • Information Technology
  • Engineering
  • Related field

In lieu of degree:
Additional 4 years of relevant experience (on top of required experience).

• 5+ years of experience in:
  • Database design
  • Data modeling tools
  • ETL/ELT development
  • Application development
  • Relational database development
  • Data architecture

• SQL / No
  
  SQL / Python (at least one programming language)
• Database design & implementation
• Data exchange formats
• Data movement concepts
• Strong analytical & problem-solving skills

• Organizational and communication skills
• Ability to manage multiple priorities

• Must disclose any debarment or exclusion impacting Federal healthcare program eligibility.
• Ability to work in a fast-paced, dynamic environment.
• Capable of handling shifting priorities and deadlines.
• Strong customer service skills (internal & external stakeholders).
• Ability to manage demanding or complex situations professionally.