Senior Data Engineer

About the Role

Key Responsibilities

• Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology.
• Develop and manage robust data integrations with external vendors and organizations, including complex API integrations.
• Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions.
• Lead and take ownership of assigned technical projects in a fast-paced environment.
• Drive continuous improvement in the quality, security, efficiency, and scalability of data pipelines and infrastructure.

Requirements

• Bachelor of Science degree in Computer Science or equivalent practical experience.
• 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines.
• 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks.
• Strong expertise in SQL, including advanced query optimization and performance tuning.
• Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables.
• Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques.
• Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS.

Nice to Have

• Proven experience designing and building near real-time data processing systems.
• Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health.
• Familiarity with modern data orchestration platforms such as Argo or Airflow.
• Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks.
• Demonstrated ability to identify and adopt new technologies that improve data quality and reliability.
• Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting.
• Proven track record of mentoring junior team members.
• Experience with data ingestion tools like Singer.
• Knowledge of analytics tools such as Tableau, Plotly, and Pandas.
• Experience in the financial services industry.

Qualifications

• Prolonged periods of sitting at a desk and working on a computer.
• Ability to communicate via phone calls and/or video conferences.

Benefits & Perks

• Remote work flexibility from anywhere in the Contiguous US.
• Medical, Dental, Vision insurance with multiple packages available.
• Life/AD&D Insurance with basic coverage at 100% company paid, additional supplemental options.
• Supplemental Short-term and Long-term Disability insurance.
• FSA for Medical and Dependant Care.
• 401K retirement plan.
• Equity packages for each role.
• Time Off including Vacation, Sick, and Parental Leave.
• Employee Assistance Program (EAP).
• Financial Literacy Mentoring Program.
• Pet Insurance.
• Home Office Stipend.