Solutions Engineer, SQL, Python

Job not on LinkedIn

🔥 3 minutes ago

🏖️ New Jersey – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Logo of SYNCREON

SYNCREON

10,000+ employees

🚘 Automotive

📦 Logistics

🚗 Transport

💰 Venture Round on 2019-10

Automotive • Logistics • Transport

SYNCREON is a global logistics company that delivers tailored, scalable, and progressive supply chain solutions to customers in over 100 locations worldwide. With more than 60 years of experience, SYNCREON specializes in managing supply chain synergies for leading brands in the automotive and technology sectors. The company offers a range of services including warehouse management, fulfillment, inbound to manufacturing, export packing, aftermarket services, reverse and repair, and transport management. SYNCREON focuses on creating innovative third-party and fourth-party logistics operations that adapt to changing industry and marketplace demands, enhancing efficiency and optimizing supply chains through strategic facility locations.

📋 Description

• Curate and deliver media datasets (audio, video, speech) end-to-end — from ingesting raw partner data to QA-ing and shipping final packages to customers • Translate customer AI data requirements into concrete curation strategies, working hands-on with messy, unstructured, real-world data • Build scripts, lightweight tooling, and repeatable QA workflows to improve delivery speed and consistency • Serve as the internal catalog expert — tracking content coverage, metadata quality, and gaps relative to customer demand • Collaborate cross-functionally with Sales, Product, and Engineering to inform platform roadmap and reduce bespoke delivery work over time.

🎯 Requirements

• Strong SQL proficiency — must be comfortable querying large, messy, real-world datasets • Hands-on experience with data pipelines, ETL/ELT, or data engineering (e.g., Snowflake, BigQuery, Databricks, Airflow, dbt) • Comfortable in customer-facing or cross-functional environments — able to communicate technical work clearly to external stakeholders • Experience working at an early-stage startup (Series A–C); no pure big-tech-only backgrounds • Comfort operating with unstructured, imperfect, evolving data — this role requires thriving in ambiguity, not waiting for clean inputs.

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