Staff Data Engineer

Palmetto

. Own the technical design of the data platform powering Palmetto's products, partners, and AI agents .

Posted 10/27/2026full-timeRemote • United StatesLead💰 $173,500 - $234,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering with a focus on building and governing data platforms, ensuring compliance with SOC 2 standards, and implementing robust data interfaces. Proficient in SQL, Python, and modern analytical warehouses, with a strong emphasis on collaboration and communication across technical and non-technical teams.

Highest-signal resume keywords

Data EngineeringSQLPythonETL OrchestrationInfrastructure As Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData WarehouseSchema DesignQuery PlansDistributed ComputingDbtETL OrchestrationAPI DesignPII Handling

Soft Skills

Clear CommunicationMentoringCollaboration

Tools & Technologies

SnowflakeBigQueryFivetranAirflowAWSGCPAzureLookerHex

Industry Keywords

SOC 2 ComplianceData GovernanceChange ControlAccess PolicyAgentic Engineering

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryETLGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

Own the technical design of the data platform powering Palmetto's products, partners, and AI agents
Build and own governed, trustworthy data products from bronze to gold for analysts, engineers, product teams, partners, and AI tools
Shape semantic context, documentation, and interfaces so AI agents answer using governed definitions with traceability to source
Implement classification, masking, access policy, and change control as code
Prepare the platform for SOC 2 and related compliance audits
Build and operate ingestion and orchestration as code with CI/CD, observability, alerting, and SLAs
Partner with finance, operations, product, and engineering to understand evolving data requirements
Design and operate secure, authorized, low-latency data interfaces for products, partners, and agents
Review code, mentor teammates, and provide engineering teams with templates and CI checks
Set technical direction, write foundational code, and collaborate with core platform and product teams
Report to the Senior Manager, Data Engineering

Requirements

What you’ll need

8+ years in data engineering, including time at a Staff or lead level owning a platform used by multiple teams
Deep experience in SQL and Python
Strong database fundamentals in a modern analytical warehouse such as Snowflake or BigQuery, including schema design, query plans, and distributed computing
Deep experience with dbt or an adjacent transformation framework such as SQLMesh or Dataform
Experience with ETL orchestration such as Fivetran or Airflow
Infrastructure as code and container orchestration on AWS, GCP, or Azure
Demonstrated agentic engineering beyond prompting, including running coding agents in loops checked by specifications and tests
Experience creating design docs that settle cross-team architecture questions
Clear written and verbal communication with non-technical partners
Working knowledge of API design, authentication and authorization such as OAuth/OIDC and RBAC
Working knowledge of PII handling
Employment contingent upon successful completion of a background check
Knowledge of reporting tools such as Looker and Hex is a plus

Benefits

Comp & perks

Unlimited PTO
Medical coverage
Dental coverage
Vision coverage
Paid parental leave
Retirement plans
Promote-from-within culture
Talent development and career growth opportunities
Purpose-driven work
Collaboration, impact, and balance-focused culture