Sr Databricks Data Engineer
$110K - $132K/yr
... compute platforms Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality ...
Sr Databricks Data Engineer
$110K - $132K/yr
... compute platforms Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality ...
Lead structural design and analysis for large-scale data center and compute facilities, from conceptual design through construction administration * Develop and review structural models, calculations ...
Lead structural design and analysis for large-scale data center and compute facilities, from conceptual design through construction administration * Develop and review structural models, calculations ...
Lead structural design and analysis for large-scale data center and compute facilities, from conceptual design through construction administration * Develop and review structural models, calculations ...
Quick apply
Lead structural design and analysis for large-scale data center and compute facilities, from conceptual design through construction administration * Develop and review structural models, calculations ...
Lead structural design and analysis for large-scale data center and compute facilities, from conceptual design through construction administration * Develop and review structural models, calculations ...
Lead structural design and analysis for large-scale data center and compute facilities, from conceptual design through construction administration * Develop and review structural models, calculations ...
$99K - $119K/yr
... cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions and Lambda. • Experience building and maintaining ETL/ELT pipelines and data models. • ...
$99K - $119K/yr
... cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions and Lambda. • Experience building and maintaining ETL/ELT pipelines and data models. • ...
Principal Data Architect
Nashville, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Nashville, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Lebanon, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Lebanon, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Franklin, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Franklin, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Murfreesboro, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
Principal Data Architect
Murfreesboro, TN · On-site
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories. * Design data models and access patterns that support both analytical and AI ...
... working with server, storage, compute and network hardware • 2+ Years of experience ... Data Center World • Excellent prioritization and time management skills • Able to work in a ...
... working with server, storage, compute and network hardware • 2+ Years of experience ... Data Center World • Excellent prioritization and time management skills • Able to work in a ...
... server, storage, compute, or network hardware (recent graduates or early-career candidates ... Data Center world • Excellent prioritization and time management skills • Able to work in a ...
... server, storage, compute, or network hardware (recent graduates or early-career candidates ... Data Center world • Excellent prioritization and time management skills • Able to work in a ...
... storage, compute and network hardware * 2+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
... storage, compute and network hardware * 2+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
... storage, compute and network hardware * 2+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
Quick apply
... storage, compute and network hardware * 2+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
... compute, or network hardware (recent graduates or early-career candidates encouraged to apply ... For details on data processing, view our Recruitment Privacy Notice.
Quick apply
... compute, or network hardware (recent graduates or early-career candidates encouraged to apply ... For details on data processing, view our Recruitment Privacy Notice.
... storage, compute and network hardware * 5+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
Quick apply
... storage, compute and network hardware * 5+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
... storage, compute and network hardware * 5+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
... storage, compute and network hardware * 5+ Years of experience troubleshooting and repairing ... For details on data processing, view our Recruitment Privacy Notice.
... compute, or network hardware (recent graduates or early-career candidates encouraged to apply ... For details on data processing, view our Recruitment Privacy Notice.
... compute, or network hardware (recent graduates or early-career candidates encouraged to apply ... For details on data processing, view our Recruitment Privacy Notice.
Forward Deployed Engineer, Microsoft AI & Data
Nashville, TN · On-site
$110K - $132K/yr
... storage, compute, IAM, networking) * Demonstrated ability to work directly alongside client ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...
Forward Deployed Engineer, Microsoft AI & Data
Nashville, TN · On-site
$110K - $132K/yr
... storage, compute, IAM, networking) * Demonstrated ability to work directly alongside client ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...
Align program deliverables with SpaceXAI's broader infrastructure roadmap, AI compute requirements ... For details on data processing, view our Recruitment Privacy Notice.
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Align program deliverables with SpaceXAI's broader infrastructure roadmap, AI compute requirements ... For details on data processing, view our Recruitment Privacy Notice.
Program Manager (Data Center Construction)
Memphis, TN · On-site
$117K/yr
Align program deliverables with SpaceXAI's broader infrastructure roadmap, AI compute requirements ... For details on data processing, view our Recruitment Privacy Notice.
Program Manager (Data Center Construction)
Memphis, TN · On-site
$117K/yr
Align program deliverables with SpaceXAI's broader infrastructure roadmap, AI compute requirements ... For details on data processing, view our Recruitment Privacy Notice.
Data Compute information
What are the key skills and qualifications needed to thrive in the Data Compute position, and why are they important?
To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.
How can I make 2000 a week working from home?
Data Compute roles often involve analyzing large datasets, developing algorithms, or managing cloud-based computing tasks. To earn $2000 weekly, professionals typically need specialized skills, experience, and may work as freelancers or in contract positions, often requiring proficiency in programming, data analysis tools, and remote work setups. Consistent high earnings depend on the complexity of projects and the rate charged per hour or project.
What profession makes $400,000 a year?
In the field of data compute, senior roles such as data engineering managers or principal data scientists can earn $400,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation varies based on industry, location, and company size, often including bonuses and stock options.
What is the highest paying job in data?
In data-related fields, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require extensive experience, advanced technical skills, and knowledge of tools like cloud platforms and data management systems.
What are the typical daily responsibilities of someone in a Data Compute role?
In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.
Is 40 too late for data science?
Data science is a field open to individuals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.
What is a Data Compute job?
A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.
What are popular job titles related to Data Compute jobs in Tennessee? For Data Compute jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Compute jobs in Tennessee look for? The top searched job categories for Data Compute jobs in Tennessee are:
What cities in Tennessee are hiring for Data Compute jobs? Cities in Tennessee with the most Data Compute job openings:
Deloitte rating
8.1
Based on 91 frontline employees who took The Breakroom Quiz
58th of 150 rated financial services
Job description
Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise.
Recruiting for this role ends on 07/31/2026.
Work you'll do
As a Databricks Engineer III on the AI & Data team, you will be responsible for:
Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.
Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.
Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.
Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.
Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.
Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.
DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
The Team
Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.
Qualifications Required:
Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Master's degree in Computer Science, Engineering, or a related field
Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services
Experience tuning and optimizing performance in Databricks and Apache Spark environments
Experience with Databricks Lakeflow
Experience with artificial intelligence and machine learning solutions
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 $116,200 to $229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyC...
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...
Qualifications:
Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise.
Recruiting for this role ends on 07/31/2026.
Work you'll do
As a Databricks Engineer III on the AI & Data team, you will be responsible for:
Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.
Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.
Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.
Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.
Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.
Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.
DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
The Team
Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.
Qualifications Required:
Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Master's degree in Computer Science, Engineering, or a related field
Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services
Experience tuning and optimizing performance in Databricks and Apache Spark environments
Experience with Databricks Lakeflow
Experience with artificial intelligence and machine learning solutions
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 $116,200 to $229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyC...
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...
Education:Bachelor's DegreeEmployment Type: