Data-Driven Software Engineer II - Hybrid, 12-Month Contract

Motion Recruitment Partners LLC; Phoenix, Northern (AZ, KY); Hybrid; USD 100,000 - 150,000; Full time

Job summary

A well-known Financial Services Company in Phoenix is seeking a Software Engineer 2 for a hybrid, long-term contract. The role focuses on data engineering, building scalable data pipelines, and working with cloud data solutions.

You will collaborate across teams to design and implement data flows using Hadoop, Kafka, Spark streaming, and lakehouse architectures, while applying best practices in data governance and security. Experience in Python and SQL is required.

Qualifications

• 2+ years of Software Engineering experience, or equivalent via work, training, military, or education.
• 5+ years data engineering with Hadoop and Google Cloud data solutions including Spark, Kafka streaming.
• 2+ years developing data flows using Kafka, Flink, Spark streaming.
• 3+ years Data lakehouse architecture with Python, PySpark, Kafka, Airflow, SQL and cloud services.
• 2+ years NoSQL databases (columnar, graph, document, KV).
• Public cloud certifications such as GCP/Azure/AWS Data Analytics.

Responsibilities

• Participate in low to moderately complex initiatives and identify process improvements in Software Engineering.
• Review and analyze basic or tactical assignments requiring research and evaluation of alternatives.
• Present recommendations for resolving low to moderately complex situations with independent judgment.
• Provide information to client personnel in Software Engineering.

Skills

Software Engineering

Hadoop

Kafka

Python / PySpark

NoSQL databases

Tools

Airflow

BigQuery

GCP Cloud Storage

SQL

Kubernetes

Job description

A well-known Financial Services Company in Phoenix is seeking a Software Engineer 2 for a hybrid, long-term contract. The role focuses on data engineering, building scalable data pipelines, and working with cloud data solutions.

You will collaborate across teams to design and implement data flows using Hadoop, Kafka, Spark streaming, and lakehouse architectures, while applying best practices in data governance and security. Experience in Python and SQL is required.