Aws Data Engineer Jobs in New Jersey
Aws Data Engineer jobs in New Jersey are in strong and consistent demand, concentrated in financial services, pharmaceuticals, telecommunications, and enterprise technology sectors, with openings from entry-level cloud engineers through senior architects and team leads. The heaviest hiring activity clusters in Jersey City, Newark, and Princeton, where firms like Johnson & Johnson, Cognizant, and Verizon maintain large technical operations. The most sought-after specializations include AWS pipeline architecture, Redshift and Glue development, and real-time streaming with Kinesis. Find a role that fits below and apply directly.
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See related jobsLocation: [Location(s) / Remote] – Hybrid – Clinton, NJ – 3 days in a week from office
Employment Type: [Full-time /Contract] – Contract
Company Overview
Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.
With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.
We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.
Role Overview
We are seeking a highly experienced and hands-on AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. This role requires deep technical expertise, strong architectural ownership, and the ability to actively contribute to development while guiding teams.
The ideal candidate will be a player-coach—capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance.
Key Responsibilities
Architecture & Design
- Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption)
- Design scalable, secure, and high-performing data platforms (lakehouse / modern data stack)
- Establish standards for data modeling, partitioning, metadata, and lifecycle management
- Architect solutions for both batch and real-time data processing
Hands-On Engineering
- Build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions
- Design data storage using S3, Redshift, RDS, DynamoDB
- Develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python
- Implement data transformation frameworks and reusable components
Data Governance & Security
- Define and enforce data governance, cataloging, and lineage
- Design row-level security, IAM policies, encryption strategies
- Work with AWS Lake Formation / Glue Data Catalog
Performance & Optimization
- Optimize data pipelines for performance and cost efficiency
- Drive SPICE/BI dataset optimization (if QuickSight or similar tools involved)
- Improve query performance in Redshift/S3-based architectures
Collaboration & Leadership
- Work closely with business, analytics, and engineering teams
- Lead technical discussions and design reviews
- Mentor data engineers and enforce engineering best practices
- Act as the primary owner of data architecture decisions
Migration & Modernization
- Lead legacy data platform migrations (e.g., on-prem, Tableau, Hadoop) to AWS
- Define strategies for data platform modernization and cloud-native adoption
- Support large-scale BI/reporting migrations (e.g., to QuickSight)
Reporting Frameworks & Reusable Components
- Create reusable reporting templates, dataset templates, and QuickSight themes.
- Build standardized KPIs, calculated fields, and metric definitions.
- Design modular AI agents and workflow templates that can be used across multiple business functions.
- Design modular reporting components that can be used across multiple dashboards.
- Implement parameterized dashboards and reusable visual components.
Quick Suite Development & AI-Powered Reporting
- Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight (now part of Quick Suite).
- Build and configure Quick Chat agents to enable natural language querying across business data sources.
- Design Quick Spaces that group data, applications, and AI agents for specific business functions or teams.
- Build high-performance dashboards optimized for large datasets and fast refresh times.
- Implement row-level security (RLS) and governance controls for business users and AI agents.
- Create standardized QuickSight templates and dashboard frameworks that can be reused across teams.
- Design and maintain semantic layers and curated datasets for reporting and AI consumption.
Ideal Candidate Profile
Overall 15+ years of experience, including 5 to 7 years in AWS Data Architecture.
Core AWS Expertise
-
Deep experience with:
- S3 (data lake design)
- AWS Glue (ETL, catalog)
- Amazon Redshift (data warehouse design & optimization)
- Lambda, Step Functions (orchestration)
- IAM, Lake Formation (security)
Data Engineering & Processing
-
Strong hands-on experience with:
- PySpark / Spark (EMR or Glue)
- SQL (advanced level)
- Python for data pipelines
- Experience with streaming (Kinesis / Kafka) is a plus
Data Architecture
-
Expertise in:
- Data lake / lakehouse architectures
- Data modeling (dimensional + normalized)
- Metadata and cataloging strategies
- Handling large-scale, distributed data systems
Modern Data Stack (Preferred)
-
Exposure to:
- dbt, Airflow, Snowflake (optional but valuable)
- BI tools (QuickSight, Tableau, Power BI)
- API-based ingestion and microservices-based data flows
- Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
- SQL & Data Modeling
- AWS Analytics Stack
- Dashboard Design
- AI Agent Design & Configuration
- Workflow Automation & Business Process Optimization
Soft Skills
- Strong ownership mindset and ability to drive architecture end-to-end
- Excellent communication with both technical and business stakeholders
- Ability to work in fast-paced, ambiguous environments
- Proven leadership and mentoring experience
Nice-to-Have
- AWS Certifications (Solutions Architect, Data Analytics Specialty)
- Experience with data governance frameworks / regulatory compliance
- Background in large enterprise transformations
Education:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience
Why choose Trianz?
- Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.
- AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale.
- Global Impact: Shape transformation across continents. Work with diverse teams and clients spanning Americas, Europe, Asia, and beyond.
- Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.
- Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution.
Equal Employment Opportunity
Trianz Privacy Notice
Location: [Location(s) / Remote] – Hybrid – Clinton, NJ – 3 days in a week from office
Employment Type: [Full-time /Contract] – Contract
Company Overview
Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.
With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.
We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.
Role Overview
We are seeking a highly experienced and hands-on AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. This role requires deep technical expertise, strong architectural ownership, and the ability to actively contribute to development while guiding teams.
The ideal candidate will be a player-coach—capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance.
Key Responsibilities
Architecture & Design
- Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption)
- Design scalable, secure, and high-performing data platforms (lakehouse / modern data stack)
- Establish standards for data modeling, partitioning, metadata, and lifecycle management
- Architect solutions for both batch and real-time data processing
Hands-On Engineering
- Build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions
- Design data storage using S3, Redshift, RDS, DynamoDB
- Develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python
- Implement data transformation frameworks and reusable components
Data Governance & Security
- Define and enforce data governance, cataloging, and lineage
- Design row-level security, IAM policies, encryption strategies
- Work with AWS Lake Formation / Glue Data Catalog
Performance & Optimization
- Optimize data pipelines for performance and cost efficiency
- Drive SPICE/BI dataset optimization (if QuickSight or similar tools involved)
- Improve query performance in Redshift/S3-based architectures
Collaboration & Leadership
- Work closely with business, analytics, and engineering teams
- Lead technical discussions and design reviews
- Mentor data engineers and enforce engineering best practices
- Act as the primary owner of data architecture decisions
Migration & Modernization
- Lead legacy data platform migrations (e.g., on-prem, Tableau, Hadoop) to AWS
- Define strategies for data platform modernization and cloud-native adoption
- Support large-scale BI/reporting migrations (e.g., to QuickSight)
Reporting Frameworks & Reusable Components
- Create reusable reporting templates, dataset templates, and QuickSight themes.
- Build standardized KPIs, calculated fields, and metric definitions.
- Design modular AI agents and workflow templates that can be used across multiple business functions.
- Design modular reporting components that can be used across multiple dashboards.
- Implement parameterized dashboards and reusable visual components.
Quick Suite Development & AI-Powered Reporting
- Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight (now part of Quick Suite).
- Build and configure Quick Chat agents to enable natural language querying across business data sources.
- Design Quick Spaces that group data, applications, and AI agents for specific business functions or teams.
- Build high-performance dashboards optimized for large datasets and fast refresh times.
- Implement row-level security (RLS) and governance controls for business users and AI agents.
- Create standardized QuickSight templates and dashboard frameworks that can be reused across teams.
- Design and maintain semantic layers and curated datasets for reporting and AI consumption.
Ideal Candidate Profile
Overall 15+ years of experience, including 5 to 7 years in AWS Data Architecture.
Core AWS Expertise
-
Deep experience with:
- S3 (data lake design)
- AWS Glue (ETL, catalog)
- Amazon Redshift (data warehouse design & optimization)
- Lambda, Step Functions (orchestration)
- IAM, Lake Formation (security)
Data Engineering & Processing
-
Strong hands-on experience with:
- PySpark / Spark (EMR or Glue)
- SQL (advanced level)
- Python for data pipelines
- Experience with streaming (Kinesis / Kafka) is a plus
Data Architecture
-
Expertise in:
- Data lake / lakehouse architectures
- Data modeling (dimensional + normalized)
- Metadata and cataloging strategies
- Handling large-scale, distributed data systems
Modern Data Stack (Preferred)
-
Exposure to:
- dbt, Airflow, Snowflake (optional but valuable)
- BI tools (QuickSight, Tableau, Power BI)
- API-based ingestion and microservices-based data flows
- Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
- SQL & Data Modeling
- AWS Analytics Stack
- Dashboard Design
- AI Agent Design & Configuration
- Workflow Automation & Business Process Optimization
Soft Skills
- Strong ownership mindset and ability to drive architecture end-to-end
- Excellent communication with both technical and business stakeholders
- Ability to work in fast-paced, ambiguous environments
- Proven leadership and mentoring experience
Nice-to-Have
- AWS Certifications (Solutions Architect, Data Analytics Specialty)
- Experience with data governance frameworks / regulatory compliance
- Background in large enterprise transformations
Education:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience
Why choose Trianz?
- Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.
- AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale.
- Global Impact: Shape transformation across continents. Work with diverse teams and clients spanning Americas, Europe, Asia, and beyond.
- Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.
- Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution.
Equal Employment Opportunity
Trianz Privacy Notice
See All 5 Aws Data Engineer Jobs in New Jersey
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Find Aws Data Engineer JobsAws Data Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Aws Data Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
What New Jersey Employers Look For
The qualifications that appear most often in aws data engineer jobs across New Jersey.
- Bachelor's degree in computer science, information systems, or a related technical field
- Hands-on experience designing and maintaining AWS data pipelines using Glue, Redshift, or S3
- Proficiency in SQL and at least one scripting language such as Python or Scala
- AWS Certified Data Engineer or AWS Solutions Architect certification strongly preferred
- Experience with big data frameworks including Apache Spark, Kafka, or EMR
- Familiarity with data governance practices and tools used in regulated industries like pharma or finance
Aws Data Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a aws data engineer in New Jersey?
A bachelor's degree in computer science, data engineering, or information technology is the standard starting point for aws data engineer roles in New Jersey. No state-issued license is required for this role. New Jersey employers, particularly in pharma and financial services, place high value on AWS certifications such as AWS Certified Data Engineer or Solutions Architect Associate, which you can earn independently and which significantly strengthen a candidate's profile in this market.
How much do aws data engineers make in New Jersey?
Aws data engineers in New Jersey earn a median of about $120,790 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $86,230 for the lowest 10% to over $197,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire aws data engineers in New Jersey?
Employers hiring aws data engineers in New Jersey right now include JSR Tech Consulting, CCL, and Trianz, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical companies, financial institutions, and large technology consultancies means demand for AWS data talent is distributed across a wide range of industries rather than a single dominant sector.
Which New Jersey cities have the most aws data engineer jobs?
Newark and Clinton have the most aws data engineer openings in New Jersey. Jersey City and Newark benefit from their proximity to New York City's financial and tech ecosystems, drawing major banks and consulting firms, while Princeton and its surrounding corridor attract pharmaceutical and biotech employers whose data infrastructure needs are substantial and ongoing.
Are there remote aws data engineer jobs in New Jersey?
Yes, and more than most fields. About 100% of aws data engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed environments. Pipeline development, data modeling, and cloud infrastructure work are the parts of the role most commonly performed fully remotely, though client-facing or regulated-industry roles in pharma and banking often retain a hybrid requirement.
How can I get hired as a aws data engineer in New Jersey with little or no experience?
The most realistic entry path is moving from a data analyst or business intelligence role into AWS-specific work, a transition many New Jersey employers in financial services and pharma accommodate through internal rotations. Earning an AWS Cloud Practitioner or Developer certification demonstrates initiative and is a concrete credential New Jersey hiring managers recognize. Large consultancies with New Jersey offices, including those supporting pharma clients in the Princeton corridor, regularly hire associate data engineers from adjacent technical backgrounds.
Where can I find and apply to aws data engineer jobs in New Jersey?
You can find and apply to aws data engineer jobs in New Jersey on Migrate Mate, which lists current openings in the state. Find roles that fit your experience and apply directly without creating a profile or signing up.
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