Data Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take charge of the reliability, freshness, and scalability of ingestion and orchestration pipelines that bring source data into Snowflake.

• Create monitoring systems, alerting mechanisms, runbooks, and patterns for backfilling and reprocessing data.

• Design, construct, and enhance Bronze, Silver, and Gold dbt models for billing, usage, CRM, product events, and GTM funnel reporting.

• Collaborate with Product, Finance, RevOps, and GTM teams to define metrics and document them in the data warehouse.

• Identify and resolve data quality and freshness issues at their origin.

• Manage Snowflake RBAC, dynamic masking, and PII classification for individuals, agents, and service accounts.

• Evaluate DDL and access requests from Engineering and GTM departments.

• Oversee reverse-ETL systems and runbooks that deliver warehouse data to Salesforce, Slack, and internal agents.

• Enhance semantic views, context, and evaluations for precise agent responses.

• Broaden agent-driven workflows from runbooks and data ingestion to pull requests.

• Develop and improve CI/CD review gates within the data-platform monorepo.

• Manage compute resources, deployments, secrets, access patterns, and environments for the data platform.

• Collaborate with infrastructure engineers to ensure availability and address failure modes.

• Standardize Postgres and SaaS ingestion while consolidating pipeline deployment through Prefect.

• Handle Snowflake RBAC, resource management, and masking policies as code using Terraform.

• Automate masking coverage, Identity Graph matching, transcript aggregation, PII detection, reverse-ETL frameworks, and runbooks.

• Operate self-hosted data services on Kubernetes and manage AWS resources as code with Terraform.

⛳️ Requirements

• Over 5 years (or equivalent) of experience in building and managing production data platforms, encompassing the transformation layer.

• Extensive experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster.

• Familiarity with data ingestion from production databases and SaaS sources, including backfilling and reprocessing methodologies.

• Proficient in monitoring, alerting, debugging, incident response strategies, and practical SLO/SLA considerations.

• Experience with data warehouse access governance: RBAC, masking policies, and PII management.

• Strong judgment in data modeling and an understanding of schema evolution.

• Proficient in SQL and Python.

• Adherence to disciplined engineering practices including testing, documentation, reviews, and CI/CD.

• Proven track record of functioning as the sole engineer on a specific layer.

• Familiarity with GTM, Finance, and Product operations.

• Ability to translate ambiguous business inquiries into technical specifications.

• Comfort in utilizing LLMs and coding agents in daily development tasks.

• Capability to assess AI-generated outputs and integrate them into standardized processes.

• Systems thinking regarding freshness, accuracy, and failure scenarios.

• A pragmatic approach to constructing and scaling solutions.

• Ability to leverage AI and automation to enhance platform operations.

🏝️ Benefits

• Healthcare, dental, and vision coverage.

• Parental leave.

• Paid time off.

• Fully remote working options.

• 401k matching.

• Competitive equity opportunities.

• FSA, short-term/long-term disability, and voluntary life insurance.

• Carrot fertility benefits.

• 20 days of paid vacation, plus 10 holidays, and unlimited sick leave.

• 12 weeks of fully paid parental leave.

• Monthly fitness stipend.

• Monthly wellness stipend.

• Commuter benefits for hybrid employees in SF/NYC.

• Unlimited token usage.