Data Engineer

Hi,

Hope you are doing well.

Please find the job description below and let me know your interest.

Position: Sr. Data Engineer
Location: Richardson, TX (Must be willing to attend an onsite face-to-face interview)
Duration: 6 Months Contract
Mode of Interview: Video, and Face-to-Face Interview

Job Description:
We are seeking a highly skilled Sr. Data Engineer with deep hands-on expertise in Snowflake, dbt, and Fivetran to design, build, and maintain modern, scalable data platforms within a financial services environment. The ideal candidate will have extensive experience developing production-grade ELT pipelines, implementing CI/CD practices, optimizing Snowflake performance, and building reusable data transformation frameworks using dbt. This role requires a strong engineering mindset, ownership mentality, and the ability to work independently in a fast-paced environment.

Required Skills:

• 10 years of Data Engineering or Analytics Engineering experience
• Strong hands-on experience with Snowflake, dbt, and Fivetran (Mandatory)
• Expertise in building scalable ELT pipelines using Fivetran and dbt on Snowflake
• Advanced SQL development and performance optimization skills
• Strong experience with dbt model development, testing, documentation, and deployment
• Experience creating reusable dbt macros and Jinja templating frameworks
• Hands-on experience with Snapshots and SCD Type 2 implementations
• Snowflake expertise including:
  • Data Modeling
  • Warehouse Design
  • Query Optimization
  • Performance Tuning
  • Cost Optimization
  • RBAC Security
  • Clustering and Micro-Partitioning
• Strong Python programming experience
• Experience with Git version control and collaborative development workflows
• Experience implementing CI/CD pipelines for data platforms and dbt deployments
• Experience supporting production-grade data pipelines with monitoring and SLAs
• Strong communication, ownership, and problem-solving skills

Responsibilities:

• Design, develop, and maintain scalable ELT pipelines using Fivetran, dbt, and Snowflake
• Build modular dbt architectures supporting multi-environment deployments
• Develop reusable dbt models, macros, snapshots, and testing frameworks
• Design and optimize Snowflake data models and warehouse architectures
• Implement performance tuning and cost optimization strategies within Snowflake
• Build data quality frameworks including validation, reconciliation, and automated testing
• Develop Python-based automation and operational tooling solutions
• Implement Git-based development best practices, code reviews, and branching strategies
• Build and maintain CI/CD pipelines supporting automated deployment processes
• Collaborate with governance, platform, and business teams to align data solutions with business requirements
• Support secure data access and governance standards across enterprise environments
• Ensure data platforms meet reliability, scalability, and operational excellence standards

Preferred Qualifications:

• Financial Services or Banking industry experience
• Experience with Airflow, Astronomer, or similar orchestration tools
• Exposure to Data Governance, Data Lineage, and Data Observability platforms
• Experience working in highly regulated enterprise environments

Salary : $50