Senior Data Engineer

Summary

Join SmartAsset's Data Engineering team as a Senior Data Engineer and build, optimize, and maintain the company's data platform. You will design and implement cloud-native solutions to improve data reliability and reduce latency. Collaborate with cross-functional teams to deliver high-impact data solutions and lead technical projects. Leverage your expertise in ETL/ELT pipelines, Python, SQL, dbt, Snowflake, and AWS data services. Contribute to a growing data organization at the forefront of AI/ML application. This role offers the opportunity to work remotely from anywhere in the contiguous US.

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 for deploying and managing data applications

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 our data pipelines and infrastructure

Preferred Qualifications

• 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 is a plus
• Knowledge of analytics tools such as Tableau, Plotly, and Pandas
• Experience in the financial services industry

Benefits

• All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US
• Medical, Dental, Vision - multiple packages available based on your individualized needs
• Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
• Supplemental Short-term and Long-term Disability
• FSA: Medical and Dependant Care
• 401K
• Equity packages for each role
• Time Off: Vacation, Sick and Parental Leave
• EAP (Employee Assistance Program)
• Financial Literacy Mentoring Program
• Pet Insurance
• Home Office Stipend