Hiring: Forward Deployed Data Engineer IV, Databricks Company: Jobgether Location: United States Job Posted Time: 2026-09-17 09:20:44 Employment Type: Remote Target Skills & Keywords : AI, AWS, CI/CD, Data Pipeline, Data Warehouse, Databricks, Docker, GDPR, Git, GraphQL, Kafka, Python, REST, React, SCADA, SQL, Spark About the job Experience: •5+ years of experience in data engineering, data platforms, or analytics engineering, including ownership of at least one production data platform. Qualifications: •Hold a Bachelor’s degree in Computer Science, Information Technology, or a related field, with a Master’s degree in a relevant STEM discipline considered an advantage. •Bring 5+ years of experience in data engineering, data platforms, or analytics engineering, including ownership of at least one production data platform. •Demonstrate expert proficiency in Python, SQL, Databricks, and Spark, including an understanding of Spark runtime behavior and the ability to diagnose performance issues without simply increasing compute resources. •Have experience building and operating cloud-based data pipelines in AWS, with working knowledge of an additional cloud ecosystem considered a plus. •Demonstrate strong knowledge of core data engineering challenges, including incremental processing, full rebuilds, idempotency, late-arriving data, deduplication, backfill strategies, and schema evolution. •Bring experience designing both batch and streaming pipelines, with the judgment to determine which architecture best addresses the underlying business and technical requirements. •Have practical knowledge of data governance, security, privacy, lineage, and data quality practices, together with proficiency in Git, Docker, CI/CD tooling, and at least one modern orchestration framework. •Demonstrate experience using AI coding assistants and agentic development tools to rapidly prototype, test, and iterate on production-oriented software; this is a particularly important capability for the role. •Be capable of owning the full system lifecycle, from technical discovery and architecture through development, deployment, and post-go-live support. •Have experience working directly with enterprise clients and navigating competing priorities among technical contributors, business stakeholders, and senior executives. Compensation: •$175,000 - $200,000 / year •Flexible work environment (work from home / hybrid options) •Budgeted salary of $175,000–$200,000 USD plus an annual bonus, with actual compensation adjusted based on experience Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!