GCP AI Data Engineer — Hybrid Contract

Motion Recruitment

Phoenix (AZ)

Hybrid

USD 120,000 - 160,000

Full time

24 hours ago
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Job summary

A well-known Financial Services Company is seeking a Software Engineer on a long-term contract with hybrid work options in Phoenix, AZ, Charlotte, NC or Irving, TX. The role emphasizes data engineering, AI-enabled data capabilities on Google Cloud, and modern data pipelines.

You'll build with Spark/Flink/Kafka, Python, Airflow, and BigQuery, collaborating with engineers and product teams to deliver robust data solutions over a 12-month contract.

Qualifications

  • 4+ years of Software Engineering experience or equivalent demonstrated
  • GCP exposure with 5–6 yrs experience in cloud data solutions
  • 5+ years of data engineering including Spark-based ingestion and processing
  • 3+ years in Data Lakehouse architecture and design using Python, pySpark, Kafka, Airflow, GCS, BigQuery, Data Proc, Cloud Composer
  • Hands-on data flows with Kafka, Flink, and Spark streaming

Responsibilities

  • Consult on or participate in moderately complex software engineering initiatives
  • Review and analyze moderately complex engineering challenges
  • Collaborate with client personnel to deliver software engineering deliverables
  • Implement and operationalize modern AI-enabled data capabilities on Google Cloud
  • Leverage AI/Agentic frameworks to automate data management and governance
  • Work with principal engineers, product managers, and data engineers to roadmap key data capabilities

Skills

Software Engineering
Data engineering
Cloud data solutions

Tools

GCP
LangChain
LangGraph/ADK
RAG/GraphRAG
MCP
Spark
Flink
Kafka
Airflow
BigQuery
Data Proc
Cloud Composer
Python

Job description

A well-known Financial Services Company is seeking a Software Engineer on a long-term contract with hybrid work options in Phoenix, AZ, Charlotte, NC or Irving, TX. The role emphasizes data engineering, AI-enabled data capabilities on Google Cloud, and modern data pipelines.

You'll build with Spark/Flink/Kafka, Python, Airflow, and BigQuery, collaborating with engineers and product teams to deliver robust data solutions over a 12-month contract.

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