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Data Engineer - Databricks, Power BI & AI/ML

Argyllinfotech

NULL, FL

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automation, Big Data, Business Intelligence, Business Intelligence Software, Business Solutions, Cloud Computing, Consulting, Data Analysis, Data Lake, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Visualization, Data Warehousing, Database Extract Transform and Load (ETL), Ecosystems, Machine Learning, Metrics, Microsoft Windows Azure, Network Operations Center, Performance Metrics, Performance Tuning/Optimization, Power BI, Predictive Modeling, Problem Solving Skills, Process Improvement, Reporting Skills, Scalable System Development, Team Player, Technical Support, Use Cases
LOCATION
NULL, FL
POSTED
2 days ago
Data Engineer Databricks, Power BI & AI/ML
Location: Miami, FL
Position Type: Contract-to-Hire
Duration: July 6, 2026 January 25, 2027
Open Positions: 1
Position Overview
Our client is seeking a highly motivated Data Engineer to join a newly established Data Center of Excellence (COE) and help shape the future of enterprise data and analytics capabilities. This is an exciting opportunity to work at the forefront of modern data technologies, supporting Business Intelligence, Data Science, Artificial Intelligence, and Machine Learning initiatives.
The ideal candidate will have strong experience building scalable data pipelines, integrating data platforms, and supporting analytics solutions within a Databricks and Power BI ecosystem. This role will play a key part in establishing the organization's next-generation data platform and enabling data-driven decision-making across the business.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and data integration solutions.
  • Support and enhance the organization's Business Intelligence infrastructure and reporting capabilities.
  • Build and optimize data solutions within Databricks and Power BI environments.
  • Collaborate with Data Scientists, Analytics teams, and business stakeholders to support AI and Machine Learning initiatives.
  • Develop data models, ETL/ELT processes, and data transformation frameworks.
  • Ensure data quality, integrity, security, and governance across enterprise data assets.
  • Support the design and implementation of modern cloud-based data architectures.
  • Optimize data performance, scalability, and reliability for reporting and advanced analytics use cases.
  • Participate in the development and growth of the organization's Data Center of Excellence (COE).
  • Identify opportunities to improve data engineering processes, automation, and operational efficiency.
Required Skills & Experience
Data Engineering
  • Strong experience designing and developing data pipelines.
  • Experience with ETL/ELT development and data integration.
  • Data modeling and data warehousing concepts.
  • Experience supporting enterprise analytics and reporting environments.
Analytics & BI
  • Power BI
  • Data Visualization and Reporting
  • Business Intelligence Solutions
  • KPI and Metrics Development
Modern Data Platforms
  • Databricks
  • Cloud-based Data Platforms
  • Data Lake and Data Warehouse Architectures
AI & Machine Learning Support
  • Experience supporting Data Science, AI, and Machine Learning initiatives.
  • Understanding of data preparation and feature engineering concepts.
  • Ability to collaborate with Data Scientists and Analytics teams.
Preferred Qualifications
  • Experience working in a Data Center of Excellence (COE) environment.
  • Exposure to modern cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience with big data technologies and large-scale data processing.
  • Knowledge of data governance and data quality frameworks.
  • Experience supporting advanced analytics and predictive modeling initiatives.
Ideal Candidate Profile
  • Passionate about modern data technologies and innovation.
  • Strong problem-solving and analytical skills.
  • Comfortable working in a fast-paced, evolving environment.
  • Self-starter with the ability to work independently and collaboratively.
  • Excited about helping build a new enterprise data capability from the ground up.
Top 3 Responsibilities
  1. Design and maintain scalable data pipelines and integrations supporting BI, AI, and Machine Learning initiatives.
  2. Develop and optimize solutions within Databricks and Power BI environments.
  3. Contribute to the development and growth of a new enterprise Data Center of Excellence (COE).
Key Technologies
  • Databricks
  • Power BI
  • Data Engineering
  • ETL/ELT
  • Data Warehousing
  • AI & Machine Learning
  • Data Science
  • Cloud Data Platforms
  • Business Intelligence

About the Company

A

Argyllinfotech

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