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Senior Data Engineer (Graph)

United States, San Francisco 90.00 - 93.00 USD / Hour · Job Posted February 02, 2026
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Job Description

As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you’re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.

Job Responsibility

  • Create and maintain Data Platform pipelines
  • supporting structured, graph, and unstructured datasets
  • Architect and implement graph database models, schema design, and build robust, scalable solutions.
  • Fluency with data engineering concepts and platforms (AWS: S3, Lambda, SNS, SQS…
  • Iceberg), data platforms (Snowflake), configuration (data contracts), transformation, orchestration (dbt, Airflow), data quality (Great Expectations, Anomalo, Soda, Collibra).
  • Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
  • Collaborate with product managers, architects, and other engineers to drive the success of the Core Data Platform
  • Document standards and best practices for pipeline configurations, naming conventions, etc.
  • Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
  • Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements
  • Maintain detailed documentation of your work and changes to support data quality and data governance requirements

Requirements

  • 5+ years of data engineering experience developing data pipelines
  • Understanding core concepts of graph databases and its advantages over a traditional RDBMS for modeling data. Knowing use cases.
  • Proficiency in at least one major programming language (e.g., Python)
  • ETL development for graph databases (extracting or loading into a graph databases)
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
  • Experience Neo4j with Snowflake
  • Strong algorithmic problem-solving expertise
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Excellent written and verbal communication
  • Willingness and ability to learn and pick up new skill sets
  • Self-starting problem solver with an eye for detail and excellent analytical and communication skills
  • Familiar with Scrum and Agile methodologies
  • STEM BA Degree + 5 years relevant experience

Nice to have

  • Focus on graph databases (e.g., Neo4j), but candidates with broader data engineering skills (including Snowflake) are preferred for flexibility.
  • Industry background is not critical
  • graph database expertise is the main requirement.

What we offer

  • medical, dental, and vision coverage
  • a 401(k) with company match
  • short-term disability
  • life insurance with AD&D
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