Senior Data Engineer

Topsteptrader; United States; Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

Seven Company-paid Holidays

Generous Family Leave

Competitive 401(k) matching

Job summary

Topsteptrader is looking for a Senior Data Engineer to build and maintain scalable data pipelines and drive data solutions across the company. This role requires expertise in SQL, cloud platforms, and data modeling, with responsibilities that include collaborating with various teams to enhance data utilization.

The ideal candidate should possess at least 6 years of experience in data engineering, proficiency in dbt, and excellent communication skills. Join us to help shape the future of data at Topsteptrader!

Qualifications

• 6+ years of experience in data engineering or related fields.
• Strong experience with cloud platforms, particularly AWS.
• Advanced-level proficiency with dbt.

Responsibilities

• Design, build, and maintain robust and scalable data pipelines.
• Leverage expert‑level experience with dbt and Snowflake.
• Implement and maintain comprehensive data monitoring processes.

Skills

Data engineering experience

Proficiency in SQL

Cloud platforms (AWS, GCP)

ETL pipelines

Experience with dbt

Communication skills

Tools

Snowflake

Dagster

Airflow

Job description

Summary

Are you a hands‑on data expert who thrives on building scalable pipelines, shaping modern data platforms, and turning raw data into business value?

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. If you're passionate about solving tough data challenges, influencing architecture, and creating impact across teams, join us and help elevate how data is used company-wide because we are never finished learning, and are always seeking to improve.

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

• Topstep is an engaging working environment which ranges from fully remote to hybrid. We foster a culture of collaboration with cameras on during meetings and a robust Slack environment for communication.
• Seven Company‑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.
• Bonus: This position is eligible for a performance‑based bonus as provided by the plan terms and governing documents.
• The compensation offered will take into account internal compensation structure and may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors.

Equal Opportunity Employer

Topstep is an 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.

Interested in the role? Apply today with your resume!