Data Engineer III

Remote in Chandler, AZ, US • Posted 3 hours ago • Updated 1 hour ago
Contract W2
On-site
$DOE
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Job Details

Skills

  • Python
  • SQL
  • Data Modeling
  • Snowflake
  • Data pipelines
  • Data engineering
  • performance tuning
  • Data Governance
  • DBT
  • ETL/ELT
  • Apache Kafka
  • Data Ingestion
  • Batch Processing
  • Data Quality
  • AWS (Amazon Web Services)
  • Apache NiFi
  • Streaming Data

Summary

Job Title: Data Engineer III
Location: Chandler, AZ
Can do Only w2, No C2C


Job Summary:

We are seeking an experienced Data Engineer III to join an Enterprise Data team focused on modernizing and consolidating cloud-based data platforms. The ideal candidate will design, develop, and optimize scalable data pipelines, ingestion frameworks, and data models supporting analytics, reporting, operational insights, and near real-time data delivery. This role requires strong expertise in cloud data engineering, AWS, Snowflake, SQL, Python, ETL/ELT frameworks, streaming technologies, and data governance. The candidate will collaborate with engineering teams and business stakeholders to translate requirements into secure, scalable, and high-performing data solutions.


Key Responsibilities:

  • Design, build, maintain, and optimize scalable and reliable data pipelines and ETL/ELT workflows.
  • Develop and enhance cloud-based data ingestion frameworks using AWS data services, including Glue and DataSync.
  • Build and support data solutions using Snowflake, dbt, and modern data engineering platforms.
  • Implement ingestion strategies for structured and unstructured data from databases, APIs, and streaming sources.
  • Ensure data quality, accuracy, security, and compliance across enterprise data platforms.
  • Develop and maintain scalable data models supporting analytics, reporting, and business intelligence needs.
  • Troubleshoot and resolve issues related to data pipelines, ingestion jobs, workflows, and data processing.
  • Monitor data ecosystem performance and perform performance tuning to identify and resolve bottlenecks.
  • Support real-time and near real-time data delivery requirements.
  • Integrate operational and QoS telemetry datasets to improve visibility and reporting capabilities.
  • Apply data governance standards, regulatory compliance requirements, and security best practices.
  • Partner with technical and business stakeholders to gather requirements and deliver scalable data architectures.
  • Provide technical guidance, communicate project status, and drive ownership of assigned deliverables.


Required Skills:

  • 5+ years of experience in Data Engineering designing and supporting scalable data solutions.
  • Strong hands-on experience with:
  • Snowflake
  • SQL
  • Python
  • dbt
  • ETL / ELT processes
  • Data Modeling
  • Experience designing and developing enterprise-scale data pipelines.
  • Strong understanding of:
  • Data ingestion frameworks
  • Extract, Transform, Load (ETL) processes
  • Workflow orchestration
  • Data quality management
  • Data governance

Best Regards:

Lucy Rose
Phone:
Email:

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.
  • Dice Id: 10429554
  • Position Id: 2026-1489
  • Posted 3 hours ago

Company Info

About TechniPros, LLC

TechniPros is a fast growing software consulting company offering mission critical consulting solutions to businesses through cutting-edge technologies since 2005. We help our clients successfully respond and capitalize on opportunities by providing professional services in the areas of systems integration and staff supplementation. We aim to deliver innovative and practical solutions, from concept through implementation and maintenance.



To be a pioneer in technology services industry and to attain & sustain a primary place in attaining quality staffing services to support human capital management needs.
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