Delta Live Tables

Delta Live Tables Engineer Jobs

6 jobs found

12d ago

Sr Databricks Data Engineer

Deloitte New York, NY

New York, NY

12d ago

$116k - $229k/yr Full time Manager Big Data Bigdata

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Job Description

Senior Databricks Data Engineer role at Deloitte in New York, onsite.

Responsibilities

Establish and promote best in class data architecture, integration, and modelling practices, with thorough documentation and governance.
Own the design, development, and ongoing maintenance of scalable data pipelines and architectures that meet enterprise data needs.
Lead initiatives to enhance data quality, boost operational efficiency, and improve process scalability.
Provide team and technology leadership by evaluating, piloting, and integrating new big data and analytics tools; mentor and grow data engineers and architects to ensure effective project delivery.
Advise on data governance, security, and compliance strategies tailored to cloud data ecosystems.
Translate technical concepts and business value for executives, business leads, and technology teams.
Drive DevOps and automation through CI/CD practices using Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations.

Requirements

Ability to work independently and collaboratively as part of a team
Strong 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

Technologies

Databricks
Delta Lake
Apache Spark
PySpark
Delta Live Tables
Autoloader
Structured Streaming
Databricks Workflows
Unity Catalog
Apache Airflow
CI/CD pipelines
Azure DevOps
AWS Code Pipeline
Jenkins
TFS
PowerShell
AWS
Azure
GCP
Databricks Lakeflow

Benefits

Discretionary annual incentive program

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 collaborates with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners work across business and technology functions to tackle complex challenges in data modernization.

Preferred qualifications

Master's degree in Computer Science, Engineering, or a related field
Experience with 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

Compensation

Salary range: USD 116,200 - 229,100 per year

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14d ago

Sr Databricks Data Engineer

Deloitte Dallas, TX

Dallas, TX

14d ago

$116k - $229k/yr Full time Apache Spark Azure Big Data

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Job Description

Deloitte's AI and Data practice is seeking a Senior Databricks Data Engineer to design, build, and optimize cloud-based data solutions on Databricks, enabling analytics and AI initiatives across enterprise data platforms.

Location

Dallas, TX onsite

Salary

USD 116,200 - 229,100 per year

Responsibilities

Establish and promote best practices for data architecture, integration, and modeling across projects.
Own the data pipelines and architectures, guiding design, development, and ongoing maintenance to support large-scale enterprise data needs.
Drive data quality, operational efficiency, and scalable processes through targeted initiatives.
Lead evaluation, piloting, and integration of new big data and analytics technologies to keep the organization at the forefront.
Mentor and develop teams of data engineers and architects, supporting technical growth and project delivery success.
Design and implement governance, security, and compliance strategies aligned with modern cloud data ecosystems.
Translate complex technical concepts and business value for executives, business leads, and technology teams.
Oversee DevOps and automation efforts, implementing CI/CD practices using tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum five years of hands-on data engineering experience focused on Databricks across AWS, Azure, or GCP.
Proficiency with lakehouse architectures, Apache Spark, Delta Lake, cloud-native storage and databases, and distributed compute platforms.
Experience with data warehousing concepts, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loading, and metadata-driven ingestion and data quality frameworks using PySpark.
At least one year leading complex, cross-functional data initiatives and technical teams, with familiarity across Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and optimization of data pipelines, code, and compute resources.
Willingness to travel approximately 50 percent depending on client engagements and sector.
Limited immigration sponsorship may be available.

Technologies

Databricks platform and ecosystem
Cloud providers: AWS, Microsoft Azure, Google Cloud Platform
Delta Lake, Apache Spark, PySpark
Delta Live Tables, Autoloader, Structured Streaming
Databricks Workflows, Apache Airflow, Unity Catalog
Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
Databricks Lakeflow

Benefits

Discretionary annual incentive program based on performance and program rules, with awards contingent on individual and organizational results.

The Team

Deloitte Core AI and Data practice helps clients modernize data platforms, strengthen enterprise data foundations, and scale analytics and AI capabilities across the business. The team designs, engineers, and deploys cloud-based data solutions to improve decision making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to address data modernization challenges.

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16d ago

Sr Databricks Data Engineer

Deloitte Pittsburgh, PA

Pittsburgh, PA

16d ago

$116k - $229k/yr Full time Apache Airflow Automation Big Data

Apply Now

Job Description

Join Deloitte's AI & Data practice on site in Pittsburgh to help modernize data platforms, enable analytics and AI, and drive measurable business outcomes. This role offers a competitive compensation range of USD 116,200 to 229,100 per year, plus a discretionary annual incentive and a benefits package aligned with the Core Talent Model. You will work in a collaborative, data-driven environment that prizes technical excellence and leadership, with opportunities to shape cloud based data engineering solutions on Databricks.

Benefits

Discretionary annual incentive program
Benefits package aligned with Core Talent Model
Competitive salary range: USD 116,200 – 229,100 per year

Responsibilities

Champion best practices by documenting and promoting superior data architecture, integration, and modeling approaches
Own data pipelines and architectures to support large scale enterprise data needs
Lead efforts to improve data quality, operational efficiency, and process scalability
Evaluate, pilot, and integrate new big data and analytics technologies; lead and develop teams of data engineers and architects
Design and implement governance, security, and compliance strategies for modern cloud data ecosystems
Communicate technical concepts and business value to executives, business leads, and technology teams
Oversee CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on data engineering experience focusing on Databricks on AWS, Azure, or GCP
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, 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 CI/CD pipelines, and performance optimization of data engineering pipelines, code, and compute resources
Ability to travel up to 50% on average based on the work and client needs
Limited immigration sponsorship may be available

Preferred qualifications

Master's degree in Computer Science, Engineering, or a related field
Experience across one or more cloud ecosystems (AWS, Azure, GCP) 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

Technologies

Databricks
AWS, Microsoft Azure, Google Cloud Platform (GCP)
Apache Spark, Delta Lake, Unity Catalog
Delta Live Tables, Autoloader, Structured Streaming
Databricks Workflows, Apache Airflow
Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
PySpark, Databricks Lakeflow

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1mo ago

Sr Databricks Data Engineer

Deloitte Sacramento, CA

Sacramento, CA

1mo ago Closed

$138k - $194k/yr Full time Autoloader Big Data Bigdata

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Senior Databricks Data Engineer based in Sacramento, CA, on site, focusing on designing, building, and optimizing cloud data solutions to modernize platforms and enable analytics and AI at enterprise scale.

Responsibilities

Establish and promote best practices for data architecture, integration, and modeling across projects.
Own the design, development, and maintenance of robust data pipelines and architectures supporting large-scale enterprise data needs.
Lead initiatives to improve data quality, operational efficiency, and scalable processes.
Evaluate, pilot, and integrate new big data and analytics technologies; lead and develop teams of data engineers and architects.
Consult on and implement governance, security, and compliance strategies for modern cloud data ecosystems.
Translate technical concepts and business value for executives, business leads, and technology teams.
Oversee CI/CD practices and automation with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell.
Provide clear guidance to colleagues across project teams.

Requirements

Ability to work independently and collaboratively within a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Proven ability to lead projects or workstreams.
Strong capability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.

Technologies

Databricks
AWS
Azure
GCP
Delta Lake
Apache Spark
PySpark
Unity Catalog
Delta Live Tables
Autoloader
Structured Streaming
Databricks Workflows
Apache Airflow
Azure DevOps
AWS Code Pipeline
Jenkins
TFS
PowerShell
Databricks Lakeflow

Qualifications Required

Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on data engineering experience focusing on Databricks on AWS, Azure, or GCP
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, 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 Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data engineering pipelines, code, and compute resources
Ability to travel 50% on average, depending on client engagements
Limited immigration sponsorship may be available

Preferred

Master's degree in Computer Science, Engineering, or a related field
Experience across one or more cloud ecosystems (AWS, Azure, GCP) and related 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

View full job page →

1mo ago

Sr Databricks Data Engineer

Deloitte Seattle, WA

Seattle, WA

1mo ago Closed

$138k - $194k/yr Full time Apache Airflow Automation Azure

This position is no longer accepting applications (closed Jul 22, 2026).

Job Description

Join Deloitte's Core AI & Data practice in Seattle for a senior Databricks data engineering role focused on designing and delivering cloud-based data solutions that enable analytics and AI at scale. This onsite opportunity offers collaboration across business and technology teams, the chance to drive enterprise data platforms, and meaningful work with leading data technologies. Travel up to 50 percent based on client engagements. Salary range: USD 137,500 to 193,600 per year.

Benefits

Discretionary annual incentive program
Core Talent Model benefits package
Reasonable accommodations for people with disabilities

Responsibilities

Promote best practices for data architecture, integration, and modeling; document and evangelize these approaches
Own the design, development, and maintenance of robust data pipelines and architectures that support enterprise-scale data needs
Drive data quality, operational efficiency, and process scalability through proactive initiatives
Lead, pilot, and integrate new big data and analytics technologies to keep the organization at the forefront
Mentor and develop teams of data engineers and architects to support effective project delivery
Consult on data governance, security, and compliance strategies for modern cloud data ecosystems
Communicate technical concepts and business value to executives, business leads, and technology teams
Oversee CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations
Provide clear guidance to others to support project success

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on data engineering experience with a focus on Databricks on AWS, Azure, or Google Cloud Platform
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, 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 Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data pipelines, code, and compute resources
Ability to travel 50 percent, depending on client work
Limited immigration sponsorship may be available
Master's degree in Computer Science, Engineering, or a related field
Experience in one or more cloud ecosystems (AWS, Azure, GCP) and related 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

Technologies

Databricks, Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Unity Catalog
Apache Airflow, Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
PySpark, Apache Spark, Databricks Lakeflow
AWS, Azure, Google Cloud Platform (GCP)

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 collaborates with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, drive innovation, and support large-scale transformation. Practitioners work across business and technology functions to address complex challenges in data modernization.

View full job page →

1mo ago

Sr Databricks Data Engineer

Deloitte Nashville, TN

Nashville, TN

1mo ago Closed

$138k - $194k/yr Full time Analytics Azure Azure Data Lake Storage

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

Deloitte's AI & Data practice is seeking a Sr Databricks Data Engineer to design, build, and optimize cloud-based data solutions on Databricks, enabling analytics and AI initiatives while modernizing enterprise data platforms. This on-site role is based in Nashville, Tennessee, with a salary range of USD 137,500 to 193,600 per year and opportunities to lead data engineering programs across client projects.

Responsibilities

Establish and promote best-in-class approaches for data architecture, integration, and modeling.
Own the design, development, and maintenance of scalable data pipelines and architectures that support enterprise data needs.
Drive improvements in data quality, operational efficiency, and process scalability.
Lead and mentor data engineering and architecture teams; assess, pilot, and integrate new big data and analytics technologies to keep the organization at the forefront.
Advise on data governance, security, and compliance strategies for modern cloud data ecosystems.
Translate technical concepts and business value for executives, business leads, and technology partners.
Oversee DevOps practices and automation, implementing CI/CD with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell.
Provide clear guidance to colleagues and project teams.

Requirements

Ability to work both independently and collaboratively within a team.
Strong written and verbal communication skills.
Meticulous attention to detail and high-quality deliverables.
Ability to build and sustain professional relationships.
Capability to lead projects or workstreams.
Ability to manage multiple tasks in a fast-paced, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of hands-on data engineering experience with a focus on Databricks across AWS, Azure, or GCP.
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases and storage solutions, and distributed compute platforms.
Experience with data warehousing, 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 exposure to Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data pipelines, code, and compute resources.
Ability to travel 50% on average, depending on client engagement.
Limited immigration sponsorship may be available.
Master's degree in Computer Science, Engineering, or a related field.
Experience with one or more cloud ecosystems (AWS, Azure, GCP) and associated big data services.
Experience tuning performance in Databricks and Apache Spark environments.
Experience with Databricks Lakeflow.
Experience with artificial intelligence and machine learning solutions.

Technologies

Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
Databricks across AWS, Microsoft Azure, and Google Cloud Platform
Lakehouse architecture, Apache Spark, Delta Lake
Cloud-native databases, storage solutions, distributed compute platforms
PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows
Apache Airflow, Unity Catalog, CI/CD pipelines
Databricks Lakeflow

Benefits

Discretionary annual incentive program

View full job page →

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