Skip to content

Software Engineer, Data Platform

Builds and maintains data governance frameworks, manages RBAC in Snowflake, optimizes data models with dbt, and ensures data quality, security, and audit readiness. Requires 3-5 years in data engineering with SQL and modern data tools.

194k – 215kBoston, MANew York, NYData EngineeringOnsite3+ YOE

About the role

What You’ll Do

  • Support the implementation of data governance frameworks that improve data ownership, access, and accountability across the organization.
  • Help manage role-based access control (RBAC) in Snowflake, including provisioning access, reviewing permissions, and ensuring adherence to least-privilege principles.
  • Assist in defining and maintaining data policies around access, usage, and retention, in collaboration with Data, Security, and Legal teams.
  • Develop and optimize data models and transformations in Snowflake using DBT, ensuring data is clean, well-structured, and analytics-ready.
  • Build tooling and abstractions that make it easy for other teams to produce and consume high-quality data.
  • Maintain and improve documentation, including data definitions, ownership records, and governance standards.
  • Contribute to building and maintaining data lineage and metadata tracking, helping improve visibility into how data flows across systems.
  • Support audit readiness by helping collect evidence, maintain access logs, and participate in periodic access reviews.
  • Monitor data access patterns and flag potential issues, inconsistencies, or policy gaps.
  • Partner with Engineering and Analytics teams to ensure governance practices are incorporated into data pipelines and workflows.
  • Help improve data quality and consistency by identifying gaps in definitions, ownership, or validation processes.
  • Promote good data hygiene and responsible data usage across teams through documentation and collaboration.

What You’ll Need

  • 3–5 years of experience in Data, Analytics, Data Engineering, or related roles, with some exposure to data governance, data quality, or data security concepts.
  • Working knowledge of SQL and familiarity with querying and exploring data in modern data warehouses (Snowflake preferred).
  • Basic understanding of access controls, RBAC, and data security best practices.
  • Familiarity with modern data tools (e.g., dbt, Airflow, or similar), and how data pipelines are structured.
  • Experience or exposure to infrastructure as code (e.g., Terraform) for managing data platform resources such as Snowflake roles, warehouses, and permissions.
  • Interest in data governance, compliance, and auditability, with a desire to grow deeper in this area.
  • Strong attention to detail and an appreciation for clean, well-documented systems.
  • Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
  • A pragmatic mindset — able to balance structure with speed in a startup environment.
  • Strong sense of ownership and willingness to learn in a fast-moving, evolving environment.
  • A genuine passion for music, creativity, and AI, and excitement about supporting a trustworthy data foundation for generative creation.

Skills

SnowflakeSQLdbtRBACTerraformAirflowData GovernanceData LineageData PipelinesMetadata Tracking

Data Engineer

Seeking the first Data Engineer to architect ETL pipelines, manage a central data lake, and drive data governance for an AI platform serving top financial institutions. Requires 5+ years of data engineering experience with Python, SQL, and big data tools.

190k – 250kNew York, NY +1Data EngineeringOn-site5+ YOESQLETL

Software Engineer, Data Platform

Designs and implements scalable data models, pipelines, and lakehouse infrastructure using Snowflake and Clickhouse to support analytics, ML, and products. Requires 5+ years data engineering experience, SQL/Python expertise, and leadership in data governance.

200k – 236kSan Francisco, CAData EngineeringHybrid5+ YOESQLETL

Lead Engineer (Data/Integrations)

Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.

200k – 250kSan Francisco, CAData EngineeringHybrid5+ YOES3AWS

Software Engineer, Data Infrastructure

Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.

186k – 233kNew York, NY +1Data EngineeringOn-site5+ YOEGoC++

Data Engineer

Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.

185k – 217kSan Francisco, CAData EngineeringHybrid5+ YOESQLGCP