Senior Data Engineer

About the role

As a Senior Data Engineer, you will architect and implement the foundational systems that power analytics, automation, and insight across the company. Working at the crossroads of data engineering, analytics, and business, you’ll lead the development of robust data pipelines, optimize workflows with tools like dbt, and drive best practices that scale with our growth.

Key Responsibilities

• Data Pipeline Development & Ownership: Design, build, and maintain robust and scalable data pipelines from diverse sources including APIs, AWS native databases, and third-party systems with the focus on data quality, reliability, and performance.
• Data Orchestration & Modeling: Leverage expert level experience with dbt and Snowflake to structure, transform, and organize data for improved accessibility and usage.
• Monitoring & Troubleshooting: Implement and maintain comprehensive data monitoring and alerting processes to ensure pipeline reliability.
• Technical Mentorship: Collaborate with the team on technical design discussions and share best practices to support scalable, reliable, and well structured data solutions.
• Cross-Functional Collaboration: Work closely with engineering, product, and analytics teams to deliver data solutions that drive business value and to communicate complex technical topics to a variety of audiences.
• Implementing Standards: Establish best-in-class processes, implement CI/CD for data pipelines, reproducible analytics, and rigorous code review, testing, and documentation standards.

Required Qualifications And Key Competencies

• 6+ years of experience in data engineering or related fields.
• Proficiency in SQL and at least one programming language (e.g., Python).
• Strong experience with cloud platforms, particularly AWS (RDS, Redshift, S3, Lambda, etc.), Snowflake, GCP.
• Hands on experience with building and maintaining scalable ETL pipelines, monitoring data quality and debugging data workflows.
• Advanced-level proficiency with dbt and experience with data orchestration tools like Dagster or Airflow.
• Hands on experience with data integration from APIs and CDC processes.
• Deep understanding of data modeling, warehousing concepts, and performance optimization.
• Excellent communication and collaboration skills, with the ability to bridge technical and non-technical teams.
• A proactive, ownership-driven mindset with a passion for solving complex data challenges.

Company Culture & Perks

• Engaging working environment ranging from fully remote to hybrid.
• Fully covered seven paid holidays and generous family leave.
• Paid time off is front-loaded.
• Competitive 401(k) matching, health, dental, and vision insurance is offered for full time employees.
• Vacations are encouraged with a bonus for taking 5 consecutive days.
• Employee referrals are bonused.
• Topstep offers a food and groceries budget and contributes towards health and wellness.
• New Hire Base Salary Range: $155,000 - $180,000.
• This position is eligible for a performance based bonus as provided by the plan terms and governing documents.

Equal Opportunity Employer

We are committed to fostering an inclusive environment where all employees and applicants are valued. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status, in compliance with applicable federal, state, and local laws.