Senior Engineer

At Tru Stage, we’re on a mission to make a brighter financial future accessible to everyone. We put people first, working hand in hand with employees and customers to create a diverse and inclusive environment.

• Data Pipelines – Lead the design and optimization of complex ETL/ELT pipelines using tools such as Alteryx, Azure Data Factory, or similar. Ensure data ingestion processes into data warehousing solutions like Snowflake are accurate, reliable, and consistent. Mentor junior engineers in best practices for data pipeline development.
• Data Models – Lead the creation and maintenance of advanced dimensional data models in data warehousing solutions. Integrate multiple complex data sources to provide actionable insights and support analytical queries, process data science needs, and improve reporting performance. Implement advanced data transformations and aggregation techniques.
• Data Quality – Develop comprehensive data quality frameworks and automated validation processes. Implement advanced techniques for anomaly detection and correction. Ensure consistent high data integrity standards across platforms.
• Collaboration – Lead cross‑functional collaboration to gather requirements and translate business objectives into technical solutions. Facilitate knowledge sharing on best practices for tools and data. Foster effective communication between teams.
• Documentation – Ensure comprehensive documentation of data pipelines, data models, and technical specifications. Maintain detailed documentation for complex data processes. Support data governance requirements through accurate data lineage and metadata documentation.
• Maintenance and Support – Lead ongoing support for data pipelines, data models, and analytical systems. Develop proactive monitoring solutions to identify and resolve data processing issues. Ensure system reliability and performance.
• Performance Optimization – Lead optimization efforts for complex data architectures. Implement advanced techniques for data management and optimization, including indexing, partitioning, and query optimization. Continuously evaluate and improve data processes and architectures.
• Data Compliance – Lead compliance efforts, ensuring adherence to established Data Governance best practices. Mentor junior staff on best practices for data compliance. Ensure data usage meets regulatory and audit requirements.
• Leadership – Develop leadership skills and manage small to mid‑size team projects. Mentor junior team members and foster a collaborative environment.

• Bachelor’s degree in computer science, economics, statistics, information management, engineering, or related field, or equivalent combination of education and/or related professional work experience.
• 6+ years of experience in analytics engineering, data engineering, or related field.
• Strong proficiency in SQL, Python, and R; extensive experience with Snowflake, Alteryx, Azure, Git, and business intelligence tools.
• Advanced understanding of database design, data modeling, and data quality assurance.
• Strong analytical and problem‑solving skills.
• Excellent communication, documentation, organizational, and project management skills.
• Ability to manage small project teams and provide mentorship to junior members.

Base Salary Range: $ – $. Position may be eligible for an annual incentive (bonus) plan. Compensation may vary based on job level, geographic location, position incentive plan, and exemption status.

• Medical, dental, and vision coverage.
• Employee assistance program, life insurance, and disability plans.
• Parental leave and paid time off.
• 401(k) retirement plan with company match.
• Tuition reimbursement.
• Flexible workplace and hybrid working options.

Tru Stage may process applicant information using an Artificial Intelligence (AI) tool that generates a screening score based on how well applicant information matches the requirements and qualifications for the position. Candidates may opt out of this process. If you’re ready to help make a difference, apply today.

If you need application or interview process accommodations, please contact the accessibility department.