Senior Analytics Engineer

Location
:
Dallas, TX (Onsite 4 days/week)
Compensation
:
Up to $160,000 Base Salary + Bonus
Work Authorization
:
Must be authorized to work in the U.S. without sponsorship now or in the future.

Data Engineer (dbt & Snowflake Expert) – We are seeking a highly skilled Data Engineer with deep expertise in dbt and Snowflake to join our growing data and analytics team. The role will design, build, and optimize scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision‑making across the organization.

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
• Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
• Develop and maintain enterprise data warehouse solutions within Snowflake.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
• Create and maintain technical documentation for data architecture, models, and workflows.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
• Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
• Participate in architecture discussions and contribute to the overall data strategy.

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Expert-level experience with dbt and Snowflake.
• Strong SQL development and query optimization skills.
• Experience designing and building scalable ETL/ELT pipelines.
• Hands‑on experience with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data modeling principles, including dimensional and star schema design.
• Experience implementing data validation, testing, and monitoring frameworks.
• Excellent problem‑solving, communication, and collaboration skills.

• Experience with in Financial Services, Banking, Capital Markets, Insurance, or Fin Tech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines and Data Ops best practices.
• Experience working in Agile development environments.

• Snowflake
• dbt (Data Build Tool)
• SQL
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP)
• Data Governance & Quality
• Performance Optimization
• Business Intelligence & Analytics

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate: A hands‑on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high‑quality data solutions that drive business value. Financial services experience is a strong plus but not required.