Software Engineer 2

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

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer 2 in Phoenix, AZ (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially.

Contract Duration: 12 Months

Required Skills & Experience

• 2+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 5+ years of experience in data engineering including hands‑on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, 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, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer
• 2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
• Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics

Desired Skills & Experience

• Proven skills with data migration from on‑prem to a cloud native environment
• Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables
• Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
• Design and implementation of highly scalable and modular data pipelines with built-in data controls for automating data governance
• Familiarity of GenAI frameworks such as Langchain and Langraph to develop agent‑based data capabilities
• Dev Ops and CI/CD deployments including Git, Jenkins, Docker, and Kubernetes
• Web based UI development using React and Node JS is a plus

What You Will Be Doing

• Participate in low to moderately complex initiatives and identify opportunity for process improvements within Software Engineering.
• Review and analyze basic or tactical Software Engineering assignments or challenges that require research, evaluation, and selection of alternatives, related to low‑to‑medium risk deliverables.
• Present recommendations for resolving low to moderately complex situations and exercise some independent judgment while developing understanding of function, policies, procedures, and compliance requirements.
• Provide information to client personnel in Software Engineering.