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Data Engineer

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Onsite

Data Engineer

Motion Recruitment

Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerReactNodePythonKafkaJenkinsData AnalysisAWSKubernetesPySparkApache AirflowHadoopAzure

8 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

$156,000 – $166,400 / year

Location:

Mutual, OH, USA

Work mode:

Onsite

Published on:

16 October 2026

What they need


Data Engineer opportunity focused on building scalable cloud data solutions. The role combines hands-on work with Hadoop, Spark, Kafka, and GCP, along with data lakehouse architecture and pipeline development. Your background caught my attention, and I’d like to learn more about your experience and what you’re looking for in your next role.

Job Title: Data Engineer

Job Location: (hybrid) Chandler, Az, Charlotte, Nc, Minniapolis, Mn, Irving, Tx

Job Duration: 12 months with possible ext

Only W2 candidate (Citizen / GC / GC EAD)

Required Qualifications

  • 5+ years of data engineering experience , including hands-on experience with Hadoop and Google Cloud data solutions; creating and supporting Spark-based processing and Kafka streaming in a highly collaborative team.
  • 2+ years of hands-on experience developing data flows using Kafka, Flink, and Spark Streaming.
  • 3+ years of experience with data lakehouse architecture and design, including hands-on experience with Python, PySpark, Apache Kafka, Airflow, SQL, GCP Cloud Storage, BigQuery, Dataproc, and Cloud Composer.
  • 2+ years of experience working with NoSQL databases, such as columnar, graph, document, and key-value databases, and associated data formats.
  • Public cloud certifications, such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics .
  • Proven skills in data migration from on-premises to cloud-native environments.
  • Proven experience with Hadoop ecosystem capabilities, such as Hive, HDFS, Parquet, Iceberg, and Delta Tables.
  • Deep understanding of data warehousing, cloud data architecture, data pipeline development, and orchestration.
  • Experience designing and implementing highly scalable, modular data pipelines with built-in data controls to automate data governance.
  • Familiarity with GenAI frameworks, such as LangChain and LangGraph, for developing agent-based data capabilities.
  • Experience with DevOps and CI/CD deployments, including Git, Jenkins, Docker, and Kubernetes.
  • Web-based UI development using React and Node.js is a plus.

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