About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Banking.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role Overview

Confidential Client is seeking a Software Engineer (Data/Streaming focus) for a 12-month W2 contract in Phoenix, AZ (hybrid). You will contribute to a large-scale data engineering environment and work with Google Cloud Platform (GCP), Hadoop, Spark, Kafka, Flink, Python/PySpark, Airflow, BigQuery, lakehouse technologies, and emerging GenAI tooling. This opportunity is ideal for engineers experienced in cloud modernization, real-time streaming, and scalable data architecture.

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Contract Details

• 12-month W2 contract
• Rate: $43 per hour (W2)
• Employment type: CONTRACTOR
• Location: Phoenix, AZ — Hybrid (on-site + remote as required)

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Required Skills & Experience

• 2+ years of Software Engineering experience (or equivalent via consulting, training, military, or education)
• 5+ years of data engineering experience, including hands-on Hadoop and Google Cloud data solutions
• Experience creating and supporting Spark-based processing and Kafka streaming solutions
• 2+ years hands-on building data flows with Kafka, Flink, and Spark Streaming
• 3+ years with data lakehouse architecture and design
• Hands-on experience with Python and PySpark, Apache Kafka, Airflow, and SQL
• Experience with GCP Cloud Storage, BigQuery, Dataproc, and Cloud Composer
• 2+ years working with NoSQL databases (columnar, graph, document, key-value) and modern data formats
• Public cloud certification (e.g., GCP Professional Data Engineer, Azure Data Engineer, AWS Specialty Data Analytics)

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Desired Skills & Experience

• Proven experience migrating data from on-premises to cloud-native platforms
• Familiarity with the Hadoop ecosystem (Hive, HDFS, Parquet, Iceberg, Delta Tables)
• Strong understanding of data warehouses, cloud data architecture, pipeline development, and orchestration
• Experience designing modular, scalable pipelines with automated data controls and governance
• Familiarity with GenAI frameworks (e.g., LangChain, LangGraph) for agent-based data capabilities
• DevOps / CI-CD tool experience: Git, Jenkins, Docker, Kubernetes
• Web UI experience with React and Node.js is a plus

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What You’ll Do

You will help build, operate, and optimize cloud-native and streaming data solutions that power business analytics and ML/GenAI initiatives. Work will include design, implementation, testing, and support of data pipelines, streaming applications, and lakehouse integrations while collaborating with cross-functional engineering teams.

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Tech Breakdown

• GCP and cloud-native data engineering
• Hadoop and data lakehouse technologies
• Spark, Kafka, and Flink streaming and processing
• Python, PySpark, Airflow, and SQL
• BigQuery, Dataproc, Cloud Composer, Cloud Storage
• NoSQL databases and modern data formats (Parquet, Iceberg, Delta)
• DevOps / CI-CD and containerization tooling
• GenAI frameworks and agent-based data capabilities

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Daily Responsibilities

• Participate in low- to moderately-complex engineering initiatives and identify process improvements
• Evaluate technical alternatives, present recommendations, and exercise independent judgment
• Develop and support scalable data processing, streaming, and cloud data solutions
• Provide technical guidance and support to stakeholders and engineering peers
• Collaborate on data architecture, pipeline design, and cloud modernization efforts
• Follow applicable policies, procedures, and compliance requirements for data systems

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Qualifications & Education

• Bachelor’s degree or equivalent experience preferred
• Relevant public cloud certification(s) preferred
• Must be able to work in the U.S. (authorized to work in the U.S. as required for W2)

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.