Staff Data Engineer

Fora Financial

Staff Data Engineer building governing reporting and trusted AI workflows for Fora Financial. Making architecture decisions and collaborating with cross-functional teams on data products.

Posted 6/30/2026full-timeRemote • 🇺🇸 United StatesLead💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, focusing on building and managing reliable data pipelines, ensuring data quality, and leveraging AI for enhanced reporting. Proficient in Snowflake governance and cross-functional collaboration to deliver trustworthy data products.

Highest-signal resume keywords

Data Engineering JudgmentSnowflake FluencyData Quality DisciplineIngestion FundamentalsCross-Functional Partnership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline ManagementData Integration DesignData Quality AssuranceData ProfilingIncident Response Management

Soft Skills

OwnershipCommunication

Tools & Technologies

SnowflakeData Governance ToolsMonitoring Tools

Industry Keywords

Governed ReportingTrusted AI WorkflowsData ContractsData Observability

About the role

Key responsibilities & impact

Build and own the platform backbone for governed reporting and trusted AI workflows.
Make strategic architecture calls and build, harden, or rebuild pipelines.
Partner closely with Analytics, Engineering, and vendors to turn fragmented source systems into trustworthy data products.
Ensure our data infrastructure integrates securely and reliably with core operational systems.
Handle requirements, source profiling, ingestion design, QA, documentation, and support for data integrations.
Manage dependencies, retries, alerts, incident response, and monitoring for pipeline reliability.
Help retire brittle reporting paths and manage Snowflake governance, data contracts, and data observability.

Requirements

What you’ll need

Deep data engineering judgment.
Hands-on depth.
Strong ingestion fundamentals.
Snowflake fluency.
Data quality discipline.
Ownership & communication.
Cross-functional partnership.
AI leverage.

Benefits

Comp & perks

Company-subsidized medical, dental, and vision plans.
401(k) plan with company match.
Life insurance at no cost to employees.
Generous time off plan, including rollover vacation days.
Health care and dependent care flexible spending accounts.
Commuter benefits.
Remote working model.
Weekly breakfast, snacks, and Friday lunches provided onsite.