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Senior Databricks & Spark Data Engineer

Exclusive opportunity

Onsite

Senior Databricks & Spark Data Engineer

Innover Global

Senior Databricks & Spark Data Engineer

Skills

KafkaDatabricksScala

2 months ago

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Important information


Contract type:

Permanent

Location:

Richardson, TX, USA

Work mode:

Onsite

Published on:

31 August 2026

What they need


W2 ONLY — NO C2C / NO 1099 / NO THIRD-PARTY

Work Authorization: U.S. Citizens (USC) or Green Card Holders (GC) ONLY

📍 Richardson, TX or Chicago, IL | Hybrid

🚨 W2 ONLY — NO C2C / NO 1099 / NO THIRD-PARTY

🇺🇸 USC OR GREEN CARD HOLDERS (GC) ONLY

📍 Location: Chicago, IL OR Richardson, TX

🏢 Work Model: Hybrid

💼 Employment Type: W2

⏳ Experience: 8+ Years — Mandatory

Please read the requirements carefully before applying. This opportunity is strictly W2. Candidates seeking C2C, Corp-to-Corp, 1099, or third-party arrangements should NOT apply.

We are looking for a Senior Databricks & Spark Data Engineer with strong hands-on experience in Scala, Apache Spark, Databricks, Apache Kafka, CDC, and Unity Catalog.

Key Responsibilities

  • Design, develop, and maintain scalable enterprise data pipelines using Scala, Apache Spark, and Databricks.

  • Develop high-performance Scala/Spark applications for large-scale batch and real-time data processing.

  • Build and optimize Databricks notebooks, jobs, workflows, and Lakehouse-based data solutions.

  • Design and implement real-time and near-real-time streaming pipelines using Apache Kafka and Spark Structured Streaming.

  • Develop and maintain Change Data Capture (CDC) solutions to efficiently process inserts, updates, and deletes.

  • Implement incremental data ingestion and transformation patterns using CDC, Delta Lake, and Databricks.

  • Design reliable and scalable ETL/ELT pipelines for large volumes of structured and semi-structured data.

  • Implement enterprise data governance, security, access controls, and data lineage using Databricks Unity Catalog.

  • Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost efficiency.

  • Troubleshoot Spark jobs, Kafka pipelines, production failures, data quality issues, and performance bottlenecks.

  • Implement monitoring, logging, data quality checks, error handling, and recovery mechanisms.

  • Collaborate with data architects, platform engineers, application teams, and business stakeholders.

Mandatory Skills

Scala | Apache Spark | Databricks | Apache Kafka | CDC | Unity Catalog

Non-Negotiable Requirements

✅ U.S. Citizen or Green Card Holder ONLY

✅ Strictly W2

✅ 8+ years of relevant experience

✅ Must be comfortable working hybrid in Richardson, TX or Chicago, IL

❌ No C2C

❌ No 1099

❌ No Corp-to-Corp

❌ No third-party/vendor submissions

Work authorization and employment eligibility will be verified during the hiring process.

📩 Qualified candidates: [email protected]

Please apply only if you personally meet ALL requirements and are genuinely interested in W2 employment.

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