Senior Data Engineer, Snowflake

Factor Funding Company

. Design and evolve data architectures powering intelligent products for global and Fortune 500 organizations.

Posted 11/5/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evolving data architectures, developing Python-based ETL processes, and building scalable data pipelines using Databricks and Snowflake. Proficient in SQL, cloud platforms, and ensuring data integrity while collaborating with stakeholders to deliver intelligent data solutions.

Highest-signal resume keywords

Python DevelopmentData Pipeline ArchitectureDatabricks and SnowflakeAWS Cloud TechnologiesSQL Query Optimization

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ProcessingETL ProcessesData WarehousingData ArchitectureAPI IntegrationVersion Control (Git)Data AnalysisData Structures and Algorithms

Soft Skills

Analytic SkillsCommunication Skills

Tools & Technologies

DatabricksSnowflakeAWSGCPAzureSparkAirflowPostgresCassandraMongoDB

Industry Keywords

Data IntegrityData SecurityGraph DatabasesGraph Data ModelingInternational Data Handling Compliance

Tech Stack

Tools & technologies

AirflowAWSAzureCassandraCloudETLGoogle Cloud PlatformMongoDBNeo4jNoSQLPostgresPythonSnowflakeSparkSQL

About the role

Key responsibilities & impact

Design and evolve data architectures powering intelligent products for global and Fortune 500 organizations.
Develop and maintain Python-based ETL processes.
Write efficient SQL queries to extract, manipulate, and analyze data.
Design, build, and optimize large-scale data pipelines using Databricks and Snowflake.
Automate manual processes and develop data delivery, validation, and augmentation techniques.
Collaborate with stakeholders to translate data needs into scalable solutions.
Design and develop API integrations to feed data models.
Architect and implement new features with AI/ML engineers, identifying data sources, gaps, and dependencies.
Identify bugs and performance issues, using monitoring and testing tools to ensure data integrity and quality.
Build scalable infrastructure using SQL and AWS big data technologies.
Keep data secure and compliant with international data handling rules.
Nice to have: work with graph data models or graph databases such as Neo4j.

Requirements

What you’ll need

5+ years of professional experience shipping high-quality, production-ready code.
Strong computer science foundations, including data structures & algorithms, OS, computer networks, databases, and object-oriented programming.
Experience with Python.
Experience setting up data pipelines using relational SQL and NoSQL databases, including Postgres, Cassandra or MongoDB.
Strong experience with data processing and warehousing tools such as Databricks and Snowflake.
Experience with cloud platforms such as AWS, GCP, or Azure.
Experience with processing and orchestration, such as Spark or Airflow.
Proven success manipulating, processing, and extracting value from large datasets.
Expertise with version control systems, such as Git.
Strong analytic skills related to working with unstructured datasets.
Excellent verbal and written communication skills in English.
Familiarity with graph technologies or graph-based data modeling is nice to have.

Benefits

Comp & perks

Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.