Staff Data Engineer

🕒 April 29

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Exactera

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

🏢 Enterprise

🤖 Artificial Intelligence

Finance • Enterprise • Artificial Intelligence

Exactera is a company that leverages AI-driven technology to provide tax compliance solutions for businesses. Their services emphasize improving efficiency, accuracy, and visibility in tax operations, specializing in transfer pricing, R&D tax credits, and tax provisions. Exactera's solutions offer localized compliance across various jurisdictions, promoting detailed and consistent documentation for their clients. The company is known for integrating sophisticated technology with industry expertise to turn tax data into business intelligence, reducing risks and enhancing strategic business values.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.