Staff Data Engineer

🕒 Abril 29

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Exactera

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💸 Finanças

🏢 Corporativo

🤖 Inteligência Artificial

Finance • Enterprise • Artificial Intelligence

A Exactera é uma empresa que utiliza tecnologia impulsionada por IA para fornecer soluções de conformidade tributária para empresas. Seus serviços enfatizam a melhoria da eficiência, precisão e visibilidade nas operações fiscais, com especialização em preços de transferência, créditos fiscais de P&D e provisões tributárias. As soluções da Exactera oferecem conformidade local em várias jurisdições, promovendo documentação detalhada e consistente para seus clientes. A empresa é conhecida por integrar tecnologia sofisticada com expertise da indústria para transformar dados fiscais em inteligência de negócios, reduzindo riscos e aumentando os valores estratégicos do negócio.

Descrição

• As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. • You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery. • Serve as a technical counterpart to the Principal Data Platform Engineer. • Drive architectural judgment and independent problem-solving as platform complexity scales post-migration. • Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale. • Exercise architectural judgment on data modeling, pipeline design, and platform usage. • Engage proactively with product and engineering stakeholders to translate requirements into data solutions.

🎯 Requisitos

• 5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction • SQL, Python, and PySpark—production pipeline implementation and performance optimization • Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred • Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation • Strong data modeling skills across structured and semi-structured data sources • AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions • Infrastructure-as-code experience (Terraform preferred) • Familiarity with data governance patterns (Unity Catalog, data lineage, access controls) • Demonstrated ability to exercise independent architectural judgment—not just ticket execution • Experience mentoring or guiding junior and mid-level data engineers • Strong written and verbal communication—able to document architecture decisions and engage directly with both technical and business stakeholders • Onshore (US-based)—role requires timezone overlap, async-light communication, and direct stakeholder engagement.

🏖️ Benefícios

• A collaborative team culture with opportunities for career development. • Ample opportunities to be recognized, build valuable skills, and grow your career. • Generous vacation policy, including paid parental leave. • Comprehensive health plans with FSA and HSA options. • 401(k) retirement plan. • Life and disability insurance coverage. • Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program.