Search Jobs | Dice.com

192 results (14 new)

Group by company

AWS Glue Data Engineer

TUPPL Technology Inc

Hybrid in New York, New York • Yesterday

Easy Apply

Full-time

Depends on Experience

AWS Data & Solution Engineer

Acunor Infotech

New York, New York • Today

Easy Apply

Full-time

Sr AWS Data Engineer @ W2

Cyber Sphere LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

AWS Data Engineer

System One

Remote • 3d ago

Easy Apply

Contract

$170000

AWS Data Engineer

SANS

Hybrid in Newark, New Jersey • 3d ago

Easy Apply

Contract

Depends on Experience

W2 Role-Snowflake Data Engineer-Must have Apache Iceberg, Apache Polaris-Location-Remote

Cyber Sphere LLC

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

AWS Data Engineer

Arbor Tek Systems

Remote • Today

Easy Apply

Contract

65 - 70

AWS Data Engineer

TriCom Technical Services

Remote • 17d ago

Easy Apply

Full-time

135000 - 150000

Data Engineer - AWS/Oracle

Tunabear Consulting Services

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Python AI Fullstack Engineer

Sidmans

Hybrid in Jersey City, New Jersey • 18d ago

Easy Apply

Contract

Depends on Experience

Lead Software Engineer- Java/ AWS

JPMorgan Chase & Co.

Hoboken, New Jersey • 22d ago

Full-time

AWS Cloud Data Engineer

System One

Remote • 23d ago

Easy Apply

Contract

Depends on Experience

AWS Data Engineer_ Remote

Arbor Tek Systems

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

AWS Data Quality Engineer

HCL America Inc.

Remote • 24d ago

Easy Apply

Full-time

$120,000 - $140,000

Denodo Tech Lead

Ruri Software Technologies LLC

Woodbridge Township, New Jersey • Today

Easy Apply

Third Party, Contract

Depends on Experience

Data Engineer

Sumitomo Mitsui Financial Group, Inc.

New York, New York • Today

Full-time

USD 73,000.00 - 98,000.00 per year

Python AWS Software Engineer III

JPMorgan Chase & Co.

Hoboken, New Jersey • Today

Full-time

Data Engineer

REGARD Solutions Corp

New York, New York • Today

Full-time

USD 160,000.00 - 190,000.00 per year

Lead Data Engineer

Judge Group, Inc.

New York, New York • Today

Contract

USD 80.00 - 88.00 per hour

API Data Engineer

Incedo Inc

Hybrid in New York, New York • Yesterday

Easy Apply

Full-time

130000 - 150,000

Data Engineer

TPI Global (formerly Tech Providers, Inc.)

New York, New York • Today

Full-time

Data Engineer

Sumitomo Mitsui Financial Group, Inc.

New York, New York • 22d ago

Full-time

USD 73,000.00 - 98,000.00 per year

Data Engineer - Capital Markets

Sumitomo Mitsui Financial Group, Inc.

New York, New York • Today

Full-time

USD 97,000.00 - 156,000.00 per year

Palantir Data Engineer + TypeScript

Source Code Technologies LLC

Jersey City, New Jersey • 18d ago

Easy Apply

Third Party, Contract

Depends on Experience

Data Analytics Engineer

Metlife

New York, New York • 4d ago

Full-time

Senior Engineer - Data Platforms & Full Stack Applications

Fitch Group

New York, New York • Today

Full-time

USD 140,000.00 - 150,000.00 per year

Sr. Data Engineer

Alkami Technology

New York, New York • Today

Full-time

USD 120,000.00 - 150,000.00 per year

Snowflake Data Engineer

Pebal Bright Technologies LLC

New York, New York • 15d ago

Easy Apply

Full-time

Depends on Experience

AWS Lakehouse Data Engineer

Navigant Consulting

Remote • Today

Full-time

USD 113,000.00 - 188,000.00 per year

Principal Data Engineer

T-Mobile

New York, New York • Today

Full-time

USD 125,600.00 - 226,600.00 per year

Job Details

Skills

AWS Glue
PYTHON

Summary

Job Title: AWS Glue Data Engineer (14+ Years Only)

Location: Fort Mill SC / New York, NY / Florham Park, NJ (Hybrid)

Job Summary

We are seeking a highly skilled AWS Data Engineer to design, develop, and optimize large-scale data pipelines and ETL workflows on AWS. The ideal candidate will have strong expertise in AWS cloud-native data services, data modeling, and pipeline orchestration, with hands-on experience building robust and scalable data solutions for enterprise environments.

Key Responsibilities

Design and implement incremental and CDC (Change Data Capture) data pipelines using AWS Glue, DMS, and Iceberg to support near real-time analytics.
Develop and maintain metadata-driven ETL frameworks to improve reusability, scalability, and operational efficiency across data platforms.
Create and manage partitioning, compaction, and optimization strategies for Iceberg datasets to reduce query latency and storage costs.
Build and orchestrate complex workflows using AWS Step Functions, EventBridge, Lambda, and Glue Workflows for automated data processing.
Perform performance tuning and cost optimization of AWS Glue jobs by optimizing Spark configurations, worker types, partitioning, and job bookmarks.
Implement CI/CD pipelines for data engineering solutions using AWS CodePipeline, CodeBuild, GitHub, Jenkins, or Terraform.
Develop and maintain data lake architecture following AWS best practices, ensuring scalability, reliability, and governance.
Automate data validation and reconciliation processes to ensure data accuracy, completeness, and consistency across multiple systems.
Create and maintain Athena external tables, Iceberg catalogs, and Glue Data Catalog metadata for efficient data discovery and querying.
Design and implement role-based access controls (RBAC), data masking, encryption, and audit mechanisms using Lake Formation and IAM policies.
Support real-time and batch processing architectures integrating Kafka, Kinesis, PostgreSQL, S3, and Redshift.
Monitor data pipelines using CloudWatch, SNS, AWS Glue Monitoring, and custom alerting mechanisms to ensure SLA compliance.
Work closely with enterprise architecture and governance teams to establish data standards, retention policies, and compliance frameworks.
Perform root cause analysis and resolve complex production issues involving Spark, Glue, Iceberg metadata, PostgreSQL connectivity, and permission models.
Enable self-service analytics by creating curated gold, silver, and bronze data layers within enterprise data lakes.
Manage schema evolution and version control for Iceberg datasets while maintaining backward compatibility for downstream consumers.
Develop reusable PySpark utilities, frameworks, and common libraries to standardize data ingestion and transformation patterns.
Participate in architecture reviews and recommend best practices for data lake modernization, cloud migration, and platform optimization initiatives.
Implement data lineage, cataloging, and observability solutions to improve data trust, discoverability, and governance.
Collaborate with DevOps and Infrastructure teams to provision and manage AWS resources using Terraform, CloudFormation, or Infrastructure as Code (IaC) methodologies

Required Qualifications

12+ years of experience in Data Engineering, with at least 5+ years designing and implementing AWS cloud-based data platforms and enterprise-scale data lakes.
Strong hands-on expertise in AWS Glue, AWS DMS, Amazon S3, Amazon Redshift, Athena, Lambda, Step Functions, EventBridge, CloudWatch, SNS, and Glue Data Catalog.
Advanced proficiency in PySpark, Spark, Python, and SQL, with experience building reusable frameworks, ETL/ELT pipelines, and high-volume data transformation solutions.
Hands-on experience designing and implementing incremental and Change Data Capture (CDC) pipelines using AWS DMS, Glue, and related AWS services.
Strong experience with Apache Iceberg including partitioning strategies, compaction, schema evolution, metadata management, performance optimization, and Iceberg catalog implementation.
Extensive experience building and supporting enterprise Data Lake architectures using Bronze, Silver, and Gold data layers with strong focus on scalability, reliability, governance, and self-service analytics.
Experience implementing and orchestrating complex workflows using AWS Step Functions, Glue Workflows, Lambda, and EventBridge.
Strong knowledge of data modeling, including dimensional, star, snowflake, and lakehouse modeling techniques.
Experience optimizing AWS Glue and Spark workloads, including partitioning, job bookmarks, worker sizing, Spark configuration tuning, and cost optimization.
Hands-on experience with real-time and batch data processing architectures integrating Kafka, Kinesis, PostgreSQL, S3, and Redshift.
Experience implementing data quality, reconciliation, observability, lineage, monitoring, and alerting frameworks across enterprise data platforms.
Strong understanding of data security and governance, including Lake Formation, IAM, RBAC, encryption, masking, auditing, retention policies, and regulatory compliance requirements.
Experience with CI/CD and Infrastructure as Code (IaC) using Terraform, CloudFormation, AWS CodePipeline, CodeBuild, GitHub, Jenkins, or similar technologies.
Strong analytical, troubleshooting, and root cause analysis skills for resolving complex production issues across Spark, Glue, Iceberg, data pipelines, and cloud infrastructure.
Experience working in Agile/Scrum environments and collaborating with architecture, governance, DevOps, and business stakeholders.

Preferred Qualifications

Experience in Financial Services, Wealth Management, Brokerage, Capital Markets, or BFSI domains, preferably supporting regulatory and governed data environments.
AWS Certified Data Engineer – Associate certification required/preferred; additional AWS certifications in Analytics, Data Engineering, or Solutions Architecture are highly desirable.
Hands-on experience with AWS Glue, PySpark, Apache Iceberg, Lake Formation, Kafka, Kinesis, and Amazon EMR/Spark in large-scale enterprise implementations.
Experience building metadata-driven ingestion and ETL frameworks and platform accelerators for reusable data engineering patterns.
Experience implementing data cataloging, lineage, observability, and governance solutions using enterprise data management tools.
Familiarity with modern Lakehouse architectures, cloud migration initiatives, and data platform modernization programs.
Experience with Terraform, CloudFormation, GitHub Actions, Jenkins, CodePipeline, and DevOps practices for enterprise data platforms.
Master's degree in Computer Science, Information Systems, Engineering, or related discipline preferred.

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

Master’s degree preferred.

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: 91093425
Position Id: 9076284
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Dhruba Bhusal

Recruiter @ TUPPL Technology Inc

View Profile

Create job alert

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

Similar Jobs

AWS Data Engineer

Hybrid in Newark, New Jersey

•

3d ago

7 plus years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.Extensive hands-on experience with AWS data services Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.Proficient in programming languages such as Python and SQL.Experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.Proven experience wi

Easy Apply

Contract

Depends on Experience

Lead Data Engineer

New York, New York

•

Today

Location: New York City, NY Salary: $80.00 USD Hourly - $88.00 USD Hourly Description: Lead Data Engineer New York, NY (10001) 6+ months Contract to Perm About the Role We are seeking a Lead Software Engineer - Data Engineering to design and build scalable, cloud-native data platforms and pipelines. You will lead the development of robust data solutions, drive architectural decisions, and mentor engineers while ensuring reliability, security, and operational excellence. Responsibilities

Contract

USD 80.00 - 88.00 per hour

Sr. Data Engineer

New York, New York

•

Today

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing-each solution can stand alone, but together they deliver more-to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action. Founded in 2009, we continue to be recognized for our intentional c

Full-time

USD 120,000.00 - 150,000.00 per year

Lead Software Engineer

Hoboken, New Jersey

•

10d ago

Job Description Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technic

Full-time

Job Details

Skills

AWS Glue
PYTHON

Summary

Job Title: AWS Glue Data Engineer (14+ Years Only)

Location: Fort Mill SC / New York, NY / Florham Park, NJ (Hybrid)

Job Summary

Key Responsibilities

Design and implement incremental and CDC (Change Data Capture) data pipelines using AWS Glue, DMS, and Iceberg to support near real-time analytics.
Develop and maintain metadata-driven ETL frameworks to improve reusability, scalability, and operational efficiency across data platforms.
Create and manage partitioning, compaction, and optimization strategies for Iceberg datasets to reduce query latency and storage costs.
Build and orchestrate complex workflows using AWS Step Functions, EventBridge, Lambda, and Glue Workflows for automated data processing.
Perform performance tuning and cost optimization of AWS Glue jobs by optimizing Spark configurations, worker types, partitioning, and job bookmarks.
Implement CI/CD pipelines for data engineering solutions using AWS CodePipeline, CodeBuild, GitHub, Jenkins, or Terraform.
Develop and maintain data lake architecture following AWS best practices, ensuring scalability, reliability, and governance.
Automate data validation and reconciliation processes to ensure data accuracy, completeness, and consistency across multiple systems.
Create and maintain Athena external tables, Iceberg catalogs, and Glue Data Catalog metadata for efficient data discovery and querying.
Design and implement role-based access controls (RBAC), data masking, encryption, and audit mechanisms using Lake Formation and IAM policies.
Support real-time and batch processing architectures integrating Kafka, Kinesis, PostgreSQL, S3, and Redshift.
Monitor data pipelines using CloudWatch, SNS, AWS Glue Monitoring, and custom alerting mechanisms to ensure SLA compliance.
Work closely with enterprise architecture and governance teams to establish data standards, retention policies, and compliance frameworks.
Perform root cause analysis and resolve complex production issues involving Spark, Glue, Iceberg metadata, PostgreSQL connectivity, and permission models.
Enable self-service analytics by creating curated gold, silver, and bronze data layers within enterprise data lakes.
Manage schema evolution and version control for Iceberg datasets while maintaining backward compatibility for downstream consumers.
Develop reusable PySpark utilities, frameworks, and common libraries to standardize data ingestion and transformation patterns.
Participate in architecture reviews and recommend best practices for data lake modernization, cloud migration, and platform optimization initiatives.
Implement data lineage, cataloging, and observability solutions to improve data trust, discoverability, and governance.
Collaborate with DevOps and Infrastructure teams to provision and manage AWS resources using Terraform, CloudFormation, or Infrastructure as Code (IaC) methodologies

Required Qualifications

12+ years of experience in Data Engineering, with at least 5+ years designing and implementing AWS cloud-based data platforms and enterprise-scale data lakes.
Strong hands-on expertise in AWS Glue, AWS DMS, Amazon S3, Amazon Redshift, Athena, Lambda, Step Functions, EventBridge, CloudWatch, SNS, and Glue Data Catalog.
Advanced proficiency in PySpark, Spark, Python, and SQL, with experience building reusable frameworks, ETL/ELT pipelines, and high-volume data transformation solutions.
Hands-on experience designing and implementing incremental and Change Data Capture (CDC) pipelines using AWS DMS, Glue, and related AWS services.
Strong experience with Apache Iceberg including partitioning strategies, compaction, schema evolution, metadata management, performance optimization, and Iceberg catalog implementation.
Extensive experience building and supporting enterprise Data Lake architectures using Bronze, Silver, and Gold data layers with strong focus on scalability, reliability, governance, and self-service analytics.
Experience implementing and orchestrating complex workflows using AWS Step Functions, Glue Workflows, Lambda, and EventBridge.
Strong knowledge of data modeling, including dimensional, star, snowflake, and lakehouse modeling techniques.
Experience optimizing AWS Glue and Spark workloads, including partitioning, job bookmarks, worker sizing, Spark configuration tuning, and cost optimization.
Hands-on experience with real-time and batch data processing architectures integrating Kafka, Kinesis, PostgreSQL, S3, and Redshift.
Experience implementing data quality, reconciliation, observability, lineage, monitoring, and alerting frameworks across enterprise data platforms.
Strong understanding of data security and governance, including Lake Formation, IAM, RBAC, encryption, masking, auditing, retention policies, and regulatory compliance requirements.
Experience with CI/CD and Infrastructure as Code (IaC) using Terraform, CloudFormation, AWS CodePipeline, CodeBuild, GitHub, Jenkins, or similar technologies.
Strong analytical, troubleshooting, and root cause analysis skills for resolving complex production issues across Spark, Glue, Iceberg, data pipelines, and cloud infrastructure.
Experience working in Agile/Scrum environments and collaborating with architecture, governance, DevOps, and business stakeholders.

Preferred Qualifications

Experience in Financial Services, Wealth Management, Brokerage, Capital Markets, or BFSI domains, preferably supporting regulatory and governed data environments.
AWS Certified Data Engineer – Associate certification required/preferred; additional AWS certifications in Analytics, Data Engineering, or Solutions Architecture are highly desirable.
Hands-on experience with AWS Glue, PySpark, Apache Iceberg, Lake Formation, Kafka, Kinesis, and Amazon EMR/Spark in large-scale enterprise implementations.
Experience building metadata-driven ingestion and ETL frameworks and platform accelerators for reusable data engineering patterns.
Experience implementing data cataloging, lineage, observability, and governance solutions using enterprise data management tools.
Familiarity with modern Lakehouse architectures, cloud migration initiatives, and data platform modernization programs.
Experience with Terraform, CloudFormation, GitHub Actions, Jenkins, CodePipeline, and DevOps practices for enterprise data platforms.
Master's degree in Computer Science, Information Systems, Engineering, or related discipline preferred.

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

Master’s degree preferred.

Dice Id: 91093425
Position Id: 9076284
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Dhruba Bhusal

Recruiter @ TUPPL Technology Inc

View Profile

Create job alert

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

Similar Jobs

AWS Data Engineer

Hybrid in Newark, New Jersey

•

3d ago

Easy Apply

Contract

Depends on Experience

Lead Data Engineer

New York, New York

•

Today

Contract

USD 80.00 - 88.00 per hour

Sr. Data Engineer

New York, New York

•

Today

Full-time

USD 120,000.00 - 150,000.00 per year

Lead Software Engineer

Hoboken, New Jersey

•

10d ago

Full-time