Internship Cloud Cost Optimization Jobs in Ridgefield, CT

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

• Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks

• Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
• Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
• Lead and drive design discussions with client architects and other counterparts
• Collaborate with different teams on data contracts and schema agreements
• Lead design and optimization of high-volume data pipeline.
• Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
• Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
• Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
• Conduct root cause analysis on production incidents and implement permanent fixes
• Mentor junior and mid-level engineers through code reviews and pair programming
• Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

• Python, PySpark, Spark SQL, SQL Server

• Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)

• Databricks (Delta Lake, Unity Catalog, Workflows)
• Apache Airflow
• Git / Azure DevOps
• Deep Spark internals (DAG optimization, spill analysis, skew handling)
• Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
• Unity Catalog governance (row/column security, external locations, system tables)
• IaC - Terraform, Azure ARM templates
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

• Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks

• Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
• Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
• Lead and drive design discussions with client architects and other counterparts
• Collaborate with different teams on data contracts and schema agreements
• Lead design and optimization of high-volume data pipeline.
• Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
• Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
• Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
• Conduct root cause analysis on production incidents and implement permanent fixes
• Mentor junior and mid-level engineers through code reviews and pair programming
• Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

• Python, PySpark, Spark SQL, SQL Server

• Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)

• Databricks (Delta Lake, Unity Catalog, Workflows)
• Apache Airflow
• Git / Azure DevOps
• Deep Spark internals (DAG optimization, spill analysis, skew handling)
• Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
• Unity Catalog governance (row/column security, external locations, system tables)
• IaC - Terraform, Azure ARM templates
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html