Lead Data Platform Engineer ? III

Overview

On Site
Hybrid
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 6+ mo(s)

Skills

Cloud Computing
Management
Workflow
Amazon SageMaker
Amazon S3
Collaboration
IT Management
Mentorship
Technical Writing
Training
Computer Science
Data Engineering
Python
PySpark
Databricks
Apache Spark
Amazon Web Services
Cloud Security
SQL
Amazon Redshift
Extract
Transform
Load
Orchestration
Apache Kafka
Real-time
Streaming
Open Source
Apache Camel
MuleSoft
RESTful

Job Details

Title: Lead Data Platform Engineer - III
Location: Miramar, FL Hybrid 3 days/week
Duration: 6+ months Contract
Compensation: $70 - 75.00/hr.
Work Requirements: , Holders or Authorized to Work in the U.S.

Lead Data Platform Engineer - III

Summary
Are you passionate about building and supporting modern data platforms in the cloud? We're looking for a Sr. Data Platform Engineer who thrives in a hybrid role 60% administration and 40% development/support to help us scale our data and DataOps infrastructure. You'll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations. If you're a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from you.

Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines and integration frameworks.
  • Administer and optimize Databricks and Apache Spark environments for data engineering workloads.
  • Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.
  • Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.
  • Automate platform operations using Python, PySpark, and infrastructure-as-code tools.
  • Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.
  • Provide technical leadership and mentorship to junior developers and third-party teams.
  • Create and maintain technical documentation and training materials.
  • Troubleshoot recurring issues and implement long-term resolutions.
Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science or related field.
  • 5+ years of experience in data engineering or platform administration.
  • 3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.
Required Technical Skills
  • Strong programming skills in Python and PySpark.
  • Expertise in Databricks, Apache Spark, and Delta Lake.
  • Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and monitoring.
  • Strong SQL skills and hands-on experience with Amazon Redshift.
  • Experience with ETL development, data transformation, and orchestration tools.
Nice to Have / Working Knowledge
  • Kafka for real-time data streaming and integration.
  • Fivetran and DBT for data ingestion and transformation.
  • Familiarity with DataOps practices and open-source data tooling.
  • Experience with integration tools such as Apache Camel and MuleSoft.
  • Understanding of RESTful APIs, message queuing, and event-driven architectures.
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) Retirement plan
  • ...and much more!
About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About INSPYR Solutions