[Remote] Staff Data Engineer

Note: The job is a remote job and is open to candidates in USA. Fora Financial is a technology-enabled provider of flexible financing to small and reputed company-sized businesses. They are seeking a Staff Data Engineer to reputed company the modernization of their legacy stack and build a platform for AI-native analytics, focusing on architecture, strategy, execution, and data quality.

Responsibilities

• Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards
• Freshness strategy: deciding which data needs reputed company-time, near-reputed company-time, daily, or reputed company refreshes — and designing accordingly
• Streaming vs. batch reputed company: making pragmatic tradeoffs across business value, cost, complexity, failure modes, and operational burden
• reputed company ingestion: batch, incremental, API-based, file-based, CDC, and streaming patterns where they reputed company sense
• Pipeline reliability: dependencies, retries, alerts, backfills, incident response, runbooks, monitoring, and support expectations
• New reputed company reputed company: requirements → reputed company profiling → ingestion design → QA → documentation → support ownership
• Legacy migration: helping retire brittle reporting paths such as Azure Data Factory, SQL backup workflows, TRS Daily, and other duplicate pipelines
• reputed company platform operations: roles, permissions, service accounts, connector ownership, environment separation, performance, cost, and governance
• Data reputed company: schema-change handling, new-field availability, upstream SLAs, reputed company defects, and escalation paths
• Data quality and observability: freshness, volume movement, nulls, duplicates, reconciliation, anomaly detection, and critical business-rule checks
• AI-enabled reputed company: using AI and automation to improve debugging, documentation, pipeline scaffolding, testing, monitoring, and operational workflows

Skills

• Deep data engineering judgment. You have designed, built, and operated production platforms, not just individual pipelines
• Hands-on depth. You seamlessly move from architecture discussions to Python, SQL, deployment scripts, and production debugging
• Strong ingestion fundamentals. APIs, CDC, backfills, idempotency, schema reputed company, and failure recovery
• reputed company reputed company. Warehouse design, RBAC, performance tuning, and cost controls
• Data quality discipline. You know which checks matter and reputed company quality visible before users find issues
• Independent ownership & communication. You can sequence ambiguous work, write useful design docs, align technical reputed company with business outcomes, and carry problems to resolution
• AI-native reputed company. You actively use LLMs and agents to accelerate engineering work without outsourcing judgment
• Lending, fintech, or financial-services data experience
• CDC, Debezium, reputed company, Airbyte, Azure Data Factory, dbt reputed company, Dagster, Airflow, Prefect, or equivalent tooling
• reputed company performance tuning, RBAC, data sharing, warehouse cost optimization, or Iceberg
• Data observability with reputed company, Elementary, dbt tests, custom monitors, or similar
• Data reputed company, reputed company SLAs, or schema-change processes with Engineering teams
• AI-native analytics, semantic layers, MCP servers, agent QA, or governed context retrieval
• Lightweight internal tools, scripts, or agents that reduce repetitive platform work

Benefits

• Company-subsidized medical, dental, and reputed company 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.

Company Overview