Help clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence by building advanced technology solutions and implementing data engineering activities.
Compensation
The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
Responsibilities
Deploy and develop pipelines and platforms that organize and make disparate data meaningful
Requirements
Bachelor's degree
Nice to have: Department of War (DoW)
Nice to have: migrating legacy ETL logic into modern cloud platforms
Data Engineer and Data Scientist to help clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.
Compensation
The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD).
Responsibilities
Develop and deploy pipelines and platforms that organize and make disparate data meaningful
Support the assessment, design, development, and maintenance of scalable platforms for clients
Designing, building, and optimizing enterprise data solutions, including data pipelines, semantic data models, and AI-ready data architectures across a cloud-based data platform.
Locations (4)
Atlanta, Georgia, United States
Cedar Rapids, Iowa, United States
Lake Saint Louis, Missouri, United States
Mandan, North Dakota, United States
Responsibilities
Design, develop, and maintain scalable data pipelines and integrations that support enterprise analytics and business operations.
Build and optimize data solutions across modern cloud-based data platforms and lakehouse environments.
Help clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence, by building advanced technology solutions and implementing data engineering activities.
Compensation
The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD).
Responsibilities
Develop and deploy pipelines and platforms that organize and make disparate data meaningful
Support the assessment, design, development, and maintenance of scalable platforms for clients
Owns the design of CNI's enterprise data landscape, including data modeling, storage, integration, security, and governance across on-premises and cloud systems.
Compensation
The estimated pay range for this role is $100,000 to $130,000, with the final offer contingent on location, skillset, and experience.
Responsibilities
Defines and maintains the enterprise data architecture, including conceptual, logical, and physical models, data domains, and the target-state roadmap.
Leads the evaluation and selection of data platform technologies and produces clear, executive-ready recommendations.
Designs data integration patterns, including ETL and ELT pipelines, APIs, streaming, and master and reference data, across legacy on-premises and cloud-based systems.
Establishes data governance standards covering ownership, quality, lineage, cataloging, retention, and classification in partnership with business data owners.
Works with Security and Compliance teams to architect data storage and access controls that meet Controlled Unclassified Information handling requirements, including NIST SP 800-171 and CMMC 2.0.
Requirements
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field
Nice to have: Azure Government
Nice to have: GCC High
Nice to have: defense industrial base
Nice to have: Controlled Unclassified Information
Senior Data Engineer - Databricks and Marketing Solutions
Support the renewal of a marketing automation solution by building data engineering and integration pipelines between Databricks and marketing platforms.
Responsibilities
Design, build, and maintain reliable data and integration pipelines between Databricks and marketing automation platforms
Develop transformations and data models for customer, behavioral, campaign, and event data
Integrate systems using APIs, JSON payloads, webhooks, and platform-specific connectors
Configure and develop data flows through Iterable Smart Sync and Iterable
Establish data-quality controls, validation rules, monitoring, and troubleshooting processes
Requirements
Nice to have: Iterable Smart Sync
Nice to have: other marketing automation platforms
Play a key role in building and evolving a cutting-edge forecasting platform, helping teams across National Grid access high-quality data and make smarter, more informed decisions.
Locations (3)
Waltham, Massachusetts, United States
Brooklyn, New York, United States
Hicksville, New York, United States
Compensation
Waltham: $129k- $170k a year
Brooklyn/Hicksville: $137k- $180k a year
Responsibilities
Design, build and support scalable data pipelines
Build and evolve data integrations and APIs
Champion data quality and governance
Develop scalable data solutions
Partner with analytics and business teams to improve data models
Lead Data Engineer responsible for designing, building, and maintaining data products, services, and platforms to support operational, analytical, and business intelligence needs within a government agency.
Responsibilities
Design, build and test complex data products using agreed standards and technologies
Transform, load and integrate data into data warehouses and data lakes
Develop and maintain automated data integration applications using SQL and Teradata
Ensure data quality, integrity and security across data lifecycle
Lead optimisation of data extraction solutions and provide technical guidance
Design, build and optimize scalable enterprise data solutions, including data ingestion, transformation, integration and lakehouse pipelines.
Compensation
NTT DATA provides a reasonable range of compensation for Canada-based positions. The starting pay range for this role is $88,528.00 to $110,660.00. This range reflects the minimum and maximum target compensation for the position across all Canada locations.
Responsibilities
Design and build scalable data pipelines
Optimize data ingestion and transformation processes
Design and implement semantic data models and business-ready data layers that improve data accessibility, consistency, and usability.
Support AI, machine learning, and advanced analytics initiatives through the creation of trusted, well-governed, and scalable data assets.
Partner with software developers, data analysts, product teams, and business stakeholders to understand data requirements and deliver effective solutions.
Requirements
Bachelor’s degree in Data Engineering, Computer Science or similar discipline
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