Data Engineer Job at NTT DATA (Irving)

New

Data Engineer

This position will play a key role in strengthening an established Microsoft Fab...

Location

United States , Westchester

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building and maintaining solutions within Microsoft Fabric
Strong knowledge of data modeling concepts and layered architecture patterns, including Bronze, Silver, and Gold frameworks
Experience working in Azure-based data environments and delivering cloud-oriented data engineering solutions
Demonstrated ability to apply independent judgment to data design decisions rather than simply executing predefined requests
Background in ingesting, transforming, and modeling Salesforce data for analytics or reporting purposes
Familiarity with legacy reporting or warehousing environments, including spreadsheet-heavy processes and older platform patterns
Experience with tools and technologies such as Python, Apache Spark, ETL processes, and related big data or streaming concepts
Strong communication skills and confidence working directly with business partners to clarify needs and explain technical recommendations

Job Responsibility

Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability
Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets
Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context
Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization
Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes
Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues
Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools
Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions
Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

New

Data Engineer

We are looking for a talented Data Engineer to join our team in Miami, Florida. ...

Location

United States , Miami

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in data engineering with expertise in Snowflake, Python, and ETL processes
Strong knowledge of data warehouse design and optimization
Proficiency in working with Apache Spark, Hadoop, and Kafka
Solid understanding of data modeling, transformation, and integration techniques
Familiarity with data security, privacy, and compliance standards
Ability to troubleshoot and solve complex data-related issues
Excellent communication and collaboration skills to work effectively with cross-functional teams
Bachelor's degree in Computer Science, Information Technology, or a related field

Job Responsibility

Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools
Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs
Develop and maintain data models to support analytics, reporting, and operational processes
Optimize data warehouse performance by tuning queries and managing resources effectively
Ensure data quality through rigorous testing and governance protocols
Implement security and compliance measures to protect sensitive data
Research and integrate emerging technologies to enhance system capabilities
Support ETL processes for data extraction, transformation, and loading
Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets
Provide technical guidance and support to team members and stakeholders

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

New

Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client’s data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

New

Data Engineer

We are looking for a Data Engineer to play a key role in shaping and scaling our...

Location

Salary:

Not provided

MDOTM Ltd

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or a related field
Strong programming skills in Java or Python (or other JVM-based languages)
Strong understanding of data modeling, SQL, and NoSQL databases
Strong focus on data quality, validation, and monitoring practices
Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
Ability to troubleshoot and optimize production data systems
Experience with workflow orchestration and data pipeline scheduling tools
Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
Strong problem-solving skills and attention to detail

Job Responsibility

Design, build, and maintain production-grade data pipelines and data-intensive systems
Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics
Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
Define and evolve data models and storage structures across relational and NoSQL systems
Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
Optimize data processing workflows for performance, reliability, and operational stability
Troubleshoot complex data issues and drive root cause analysis

Fulltime

Data Engineer

We are looking for a Data Engineer to help strengthen enterprise data capabiliti...

Location

United States , San Diego

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

At least 5 years of hands-on experience in data engineering, data integration, or a closely related technical discipline
Strong background working with cloud data ecosystems and modern integration frameworks in production environments
Advanced SQL expertise, including query optimization, troubleshooting, and performance improvement
Proven experience creating and supporting production ETL or ELT pipelines across multiple data sources
Solid understanding of dimensional modeling and the design of analytics-focused datasets
Hands-on experience with Python, Apache Spark, or similar technologies used for large-scale data processing
Ability to communicate clearly, solve complex technical problems, and work effectively with both business and engineering teams
A bachelor’s degree in computer science, information systems, or a related field is preferred
relevant cloud or data certifications are a plus

Job Responsibility

Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets
Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery
Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs
Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations
Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions
Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline
Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform
Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate

What we offer

medical, vision, dental, and life and disability insurance
enrollment in our company 401(k) plan

Fulltime

Data Engineer

The Data Engineer is a seasoned subject matter expert, responsible for the trans...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities
Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Seasoned understanding of data architecture landscape between physical and logical data models
Analytical mindset with excellent business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Relevant certifications preferred such as SAP, Microsoft Azure etc.

Job Responsibility

Creates data models in a structured data format to enable analysis thereof
Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints
Interprets installation standards to meet project needs and produce database components as required
Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
Accountable for analysis, and development of ETL and migration documentation
Collaborates with various stakeholders to evaluate potential data requirements
Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives

Fulltime

Data Engineer

We are looking for a highly motivated expert Data Engineer to design and develop...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency in workflow orchestration and performance tuning on big data processing
Strong understanding of AWS services
Ability to quickly learn, adapt, and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices
Experience with streaming technologies such as Apache Kafka, Debezium, or similar platforms for real-time data processing and integration
Master’s /Bachelor’s degree and 5-8 years of Computer Science, IT, or related field experience

Job Responsibility

Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
Build highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains
Design and implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms
Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Innovate, explore, and implement new tools and technologies to enhance efficient data processing
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories
Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle

Data Engineer

We are looking for a skilled Data Engineer to join our team on a long-term contr...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in implementing and managing Snowflake and Palantir platforms
Strong proficiency in programming languages such as Python for data manipulation and analysis
Expertise in working with Apache Spark, Hadoop, and Kafka for large-scale data processing
In-depth knowledge of ETL processes and tools to handle complex data workflows
Familiarity with building and optimizing data pipelines and architectures
Ability to troubleshoot and resolve data system issues in a timely manner
Excellent problem-solving skills and attention to detail
Strong communication skills to collaborate effectively with cross-functional teams

Job Responsibility

Design, develop, and maintain data pipelines to support efficient data integration and processing
Implement and manage Snowflake-based data repositories to centralize and secure organizational data
Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy
Develop ETL processes to extract, transform, and load data from various sources into centralized systems
Collaborate with stakeholders to define data requirements and optimize system performance
Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions
Monitor and troubleshoot data systems to ensure reliability and address any issues promptly
Deploy advanced analytics and AI models to drive operational efficiencies
Document processes and provide technical support to ensure smooth implementation and usage of data systems

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

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