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Staff Engineer - Senior Data Engineer

Nagarro

Remote • Today

Full-time

Senior Data Engineer

RedSalsa Technologies, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Engineer

Booz Allen Hamilton

Washington, District of Columbia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior Data Engineer

General Dynamics

Sterling, Virginia • Today

Full-time

USD 153,000.00 - 207,000.00 per year

Senior Data Engineer

Royal Caribbean Cruises Ltd

Miramar, Florida • Today

Full-time

Senior Data Engineer

Shimento, Inc.

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Engineer

Intercontinental Exchange, Inc

Atlanta, Georgia • Today

Full-time

Senior Data Engineer

Hunter Industries Inc

San Marcos, California • Today

Full-time

USD 130,000.00 - 145,000.00 per year

Senior Data Engineer

Apex Systems

Tampa, Florida • Today

Easy Apply

Full-time

$70 - $90 per hour

Senior Data Engineer

Ochsner Health System

New Orleans, Louisiana • Today

Full-time

Senior Data Engineer

Booz Allen Hamilton

Riverdale Park, Maryland • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Senior Data Engineer

ICF Consulting Group, Inc.

Reston, Virginia • Today

Full-time

USD 98,614.00 - 167,644.00 per year

Senior Data Engineer

Origami Risk LLC

Remote • Today

Full-time

USD 117,000.00 - 146,000.00 per year

Senior Data Engineer

Aspen Dental Management, Inc.

Chicago, Illinois • Today

Full-time

USD 130,000.00 - 160,000.00 per year

Senior Data Engineer

Booz Allen Hamilton

Aurora, Colorado • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Senior Data Engineer

Formation Bio

New York, New York • Today

Full-time

USD 185,500.00 - 232,000.00 per year

Senior Data Engineer

SPA

Remote • Today

Full-time

USD 156,423.94 - 179,191.47 per year

Senior Data Engineer

Apex Systems

Juno Beach, Florida • Today

Easy Apply

Full-time

$75 - $92 per hour

Senior Data Engineer

NexTech Solutions

Pittsburgh, Pennsylvania • Today

Full-time

Senior Data Engineer

NxT Level

New York, New York • Today

Full-time

Senior Data Engineer

Centerfield

Remote • Today

Full-time

USD 157,102.00 per year

Senior Data Engineer

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 119,800.00 - 234,700.00 per year

Senior Data Engineer

Tempus

Chicago, Illinois • Today

Full-time

USD 125,000.00 - 180,000.00 per year

Senior Data Engineer

Waystar

Duluth, Georgia • Today

Full-time

Senior Data Engineer

Navigant Consulting

San Antonio, Texas • Today

Full-time

USD 80,000.00 - 133,000.00 per year

Senior Data Engineer

Microsoft Corporation

No location provided • Today

Full-time

USD 119,800.00 - 234,700.00 per year

Senior Data Engineer

Costar Group

Richmond, Virginia • Today

Full-time

USD 133,000.00 - 172,000.00 per year

Senior Data Engineer

Credit Genie

Plymouth Meeting, Pennsylvania • Today

Full-time

USD 180,000.00 - 210,000.00 per year

Senior Data Engineer

Tatari

New York, New York • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Senior Data Engineer

Tatari

Los Angeles, California • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Job Details

Skills

Product Engineering
eXist
Storage
Access Control
Analytics
Use Cases
Analytical Skill
Data Processing
Collaboration
Machine Learning (ML)
Technical Writing
Scalability
Information Security Governance
Regulatory Compliance
Data Engineering
Cloud Architecture
Data Architecture
PySpark
Generative Artificial Intelligence (AI)
Data Modeling
Data Governance
Database
Data Warehouse
Data Marts
Extract
Transform
Load
SQL
Optimization
Performance Tuning
RESTful
Cloud Computing
Design Patterns
Databricks
Amazon Web Services
API
Step-Functions
Meta-data Management
Data Quality
Continuous Integration
Continuous Delivery
DevOps
Artificial Intelligence
Software Architecture
Vector Databases
Prompt Engineering

Product Engineering
eXist
Storage
Access Control
Analytics
Use Cases
Analytical Skill
Data Processing
Collaboration
Machine Learning (ML)
Technical Writing
Scalability
Information Security Governance
Regulatory Compliance
Data Engineering
Cloud Architecture
Data Architecture
PySpark
Generative Artificial Intelligence (AI)
Data Modeling
Data Governance
Database
Data Warehouse
Data Marts
Extract
Transform
Load
SQL
Optimization
Performance Tuning
RESTful
Cloud Computing
Design Patterns
Databricks
Amazon Web Services
API
Step-Functions
Meta-data Management
Data Quality
Continuous Integration
Continuous Delivery
DevOps
Artificial Intelligence
Software Architecture
Vector Databases
Prompt Engineering

Summary

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Role - Senior Data Engineer
Location - Remote USA
Employment type - Fulltime

Job Summary:

We are looking for an experienced Data & AI Architect with strong expertise in Databricks, AWS, Enterprise Data Architecture, PySpark, and AWS Bedrock.
The candidate will be responsible for designing scalable, secure, and governed data and AI solutions across the enterprise.
The role requires a strong understanding of modern data platforms, data modelling, data governance, data products, ETL, APIs, and cloud-native/serverless architectures, along with hands-on experience in emerging GenAI, AI Agents, AWS Bedrock, and Databricks Genie capabilities.

Key Responsibilities:

Design and implement scalable enterprise data architectures using Databricks and AWS platforms.
Define data architecture patterns covering data ingestion, processing, storage, transformation, serving, and consumption.
Design and optimize data models, data marts, data warehouses, and enterprise data platforms.
Establish and implement data governance, security, quality, lineage, and access-control frameworks. Develop and optimize data processing pipelines using PySpark, SQL, and ETL frameworks. Work with Databricks capabilities for data engineering, analytics, AI/ML, and data product enablement.
Design cloud-native and serverless solutions on AWS using appropriate AWS services.
Architect and integrate solutions using APIs and API-based data integrations.
Work with AWS Bedrock to design and enable GenAI and AI-agent-based solutions.
Provide architecture guidance for AI Agents, Databricks Genie, and enterprise GenAI use cases.
Design solutions that enable reusable, scalable, and governed data products for business and analytical consumption.
Perform SQL query optimization, performance tuning, and data-processing optimization.
Collaborate with Data Engineers, Data Scientists, AI/ML Engineers, Product Owners, and business stakeholders to translate business requirements into scalable technical solutions.
Define architecture standards, reusable patterns, technical documentation, and best practices.
Conduct technical reviews and provide guidance to development teams on architecture, performance, scalability, and maintainability.
Ensure solutions align with enterprise security, governance, compliance, and cloud architecture standards.

Qualifications

Must have skills :

8+ years of overall experience in Data Engineering / Data Architecture / Cloud Architecture.
4+ years of experience with Databricks and modern cloud data platforms.
Hands-on experience with AWS and modern data/AI technologies.
Strong experience in Databricks architecture and development.
Strong hands-on experience with AWS cloud platform and services.
Strong understanding of Enterprise Data Architecture.
Strong experience with PySpark and SQL.
Experience with AWS Bedrock and GenAI/AI-agent solutions.
Strong knowledge of data modelling, data governance, DBMS, data warehouses, and data marts.
Experience in ETL/data pipeline architecture and development.
Experience with SQL query optimization and performance tuning.
Exposure to designing and consuming REST/API-based integrations.
Experience in designing and enabling enterprise data products.

Good-to-Have Skills:

Understanding of serverless architecture and cloud-native design patterns.
Experience with Databricks Genie / Genie Spaces. Experience with AI Agents / Agentic AI frameworks and architectures.
Experience with AWS serverless services such as Lambda, API Gateway, Glue, Step Functions, and related services.
Experience with Delta Lake / Lakehouse architecture.
Knowledge of Data Catalog, metadata management, lineage, and data quality frameworks.
Experience with CI/CD and DevOps practices for data and AI platforms.
Exposure to LLM application architecture, RAG, vector databases, and prompt engineering.
Experience working in large-scale enterprise data transformation or modernization programs.
Experience Strong experience in designing and delivering enterprise-scale data solutions.
Experience leading technical discussions and working with cross-functional stakeholders.

Additional Information

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

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: 80183489
Position Id: 6794550e8b3d031e38e9ca6a23b10afa
Posted 2 hours ago

Fitment

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About Company: We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Role Senior Data Engineer Work Model Remote Employm

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Job Details

Skills

Product Engineering
eXist
Storage
Access Control
Analytics
Use Cases
Analytical Skill
Data Processing
Collaboration
Machine Learning (ML)
Technical Writing
Scalability
Information Security Governance
Regulatory Compliance
Data Engineering
Cloud Architecture
Data Architecture
PySpark
Generative Artificial Intelligence (AI)
Data Modeling
Data Governance
Database
Data Warehouse
Data Marts
Extract
Transform
Load
SQL
Optimization
Performance Tuning
RESTful
Cloud Computing
Design Patterns
Databricks
Amazon Web Services
API
Step-Functions
Meta-data Management
Data Quality
Continuous Integration
Continuous Delivery
DevOps
Artificial Intelligence
Software Architecture
Vector Databases
Prompt Engineering

Product Engineering
eXist
Storage
Access Control
Analytics
Use Cases
Analytical Skill
Data Processing
Collaboration
Machine Learning (ML)
Technical Writing
Scalability
Information Security Governance
Regulatory Compliance
Data Engineering
Cloud Architecture
Data Architecture
PySpark
Generative Artificial Intelligence (AI)
Data Modeling
Data Governance
Database
Data Warehouse
Data Marts
Extract
Transform
Load
SQL
Optimization
Performance Tuning
RESTful
Cloud Computing
Design Patterns
Databricks
Amazon Web Services
API
Step-Functions
Meta-data Management
Data Quality
Continuous Integration
Continuous Delivery
DevOps
Artificial Intelligence
Software Architecture
Vector Databases
Prompt Engineering

Summary

We are looking for an experienced Data & AI Architect with strong expertise in Databricks, AWS, Enterprise Data Architecture, PySpark, and AWS Bedrock.
The candidate will be responsible for designing scalable, secure, and governed data and AI solutions across the enterprise.
The role requires a strong understanding of modern data platforms, data modelling, data governance, data products, ETL, APIs, and cloud-native/serverless architectures, along with hands-on experience in emerging GenAI, AI Agents, AWS Bedrock, and Databricks Genie capabilities.

Key Responsibilities:

Design and implement scalable enterprise data architectures using Databricks and AWS platforms.
Define data architecture patterns covering data ingestion, processing, storage, transformation, serving, and consumption.
Design and optimize data models, data marts, data warehouses, and enterprise data platforms.
Establish and implement data governance, security, quality, lineage, and access-control frameworks. Develop and optimize data processing pipelines using PySpark, SQL, and ETL frameworks. Work with Databricks capabilities for data engineering, analytics, AI/ML, and data product enablement.
Design cloud-native and serverless solutions on AWS using appropriate AWS services.
Architect and integrate solutions using APIs and API-based data integrations.
Work with AWS Bedrock to design and enable GenAI and AI-agent-based solutions.
Provide architecture guidance for AI Agents, Databricks Genie, and enterprise GenAI use cases.
Design solutions that enable reusable, scalable, and governed data products for business and analytical consumption.
Perform SQL query optimization, performance tuning, and data-processing optimization.
Collaborate with Data Engineers, Data Scientists, AI/ML Engineers, Product Owners, and business stakeholders to translate business requirements into scalable technical solutions.
Define architecture standards, reusable patterns, technical documentation, and best practices.
Conduct technical reviews and provide guidance to development teams on architecture, performance, scalability, and maintainability.
Ensure solutions align with enterprise security, governance, compliance, and cloud architecture standards.

Qualifications

Must have skills :

8+ years of overall experience in Data Engineering / Data Architecture / Cloud Architecture.
4+ years of experience with Databricks and modern cloud data platforms.
Hands-on experience with AWS and modern data/AI technologies.
Strong experience in Databricks architecture and development.
Strong hands-on experience with AWS cloud platform and services.
Strong understanding of Enterprise Data Architecture.
Strong experience with PySpark and SQL.
Experience with AWS Bedrock and GenAI/AI-agent solutions.
Strong knowledge of data modelling, data governance, DBMS, data warehouses, and data marts.
Experience in ETL/data pipeline architecture and development.
Experience with SQL query optimization and performance tuning.
Exposure to designing and consuming REST/API-based integrations.
Experience in designing and enabling enterprise data products.

Good-to-Have Skills:

Understanding of serverless architecture and cloud-native design patterns.
Experience with Databricks Genie / Genie Spaces. Experience with AI Agents / Agentic AI frameworks and architectures.
Experience with AWS serverless services such as Lambda, API Gateway, Glue, Step Functions, and related services.
Experience with Delta Lake / Lakehouse architecture.
Knowledge of Data Catalog, metadata management, lineage, and data quality frameworks.
Experience with CI/CD and DevOps practices for data and AI platforms.
Exposure to LLM application architecture, RAG, vector databases, and prompt engineering.
Experience working in large-scale enterprise data transformation or modernization programs.
Experience Strong experience in designing and delivering enterprise-scale data solutions.
Experience leading technical discussions and working with cross-functional stakeholders.

Dice Id: 80183489
Position Id: 6794550e8b3d031e38e9ca6a23b10afa
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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