Aws Glue

Aws Glue Engineer Jobs

3 jobs found

Today

Senior Data Engineer - Technology

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

Today

Full time Senior Amazon Web Services AWS

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Job Description

Neptune Technology Group Inc. is seeking a Senior Data Engineer to own and modernize our data pipeline architecture. The role centers on migrating ETL workloads from Redshift stored procedures and legacy SSIS into scalable, maintainable pipelines built with AWS Glue and S3, while guiding the move toward near real-time analytics using stream processing technologies such as Apache Flink and ClickHouse.

This on-site position is based in Duluth, GA.

Responsibilities

Design and build modern ETL/ELT pipelines using AWS Glue, S3, and related services to replace legacy stored procedures and SSIS jobs.
Architect data transformation workflows that are testable, version-controlled, and observable.
Optimize and maintain the Redshift data warehouse, including materialized views, query performance, and cost efficiency.
Drive the evolution from batch ETL to near real-time stream processing, evaluating and implementing technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent platforms.
Design pipelines that support both near real-time and batch workloads as the platform transitions.
Partner with product and analytics teams to ensure data models support reporting, AI/ML, and customer-facing features.
Establish patterns and best practices for pipeline development that the broader team can adopt.
Participate in production support and incident response for data infrastructure.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Minimum of 5+ years in data engineering roles.
Deep experience with AWS Glue (PySpark/Python), S3, and Redshift.
Proven track record migrating ETL workloads from legacy tools (SSIS, stored procedures, or similar) to modern cloud-native pipelines.
Strong SQL skills with best practices and SQL linting, particularly in Redshift or other columnar/MPP databases.
Experience with or strong interest in stream processing frameworks (Flink, Spark Streaming, Kafka Streams, or similar).
Familiarity with data pipeline orchestration, monitoring, and error handling patterns.
Experience with infrastructure-as-code and CI/CD for data pipelines.

Technologies

Python
PySpark
SQL
AWS Glue
S3
Redshift
SSIS
Apache Flink
ClickHouse
Kafka
Kinesis
Apache Spark Streaming
Kafka Streams
Aurora MySQL
DynamoDB
Apache Druid
dbt
Airflow
Step Functions
MQTT

Location

Locations: Tallassee, Alabama or Duluth, Georgia. This is an onsite role in Duluth, GA, with travel to manufacturing or customer locations up to 20% as needed.

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6d ago

Data Engineer II

Amazon.com Services LLC Seattle, WA

Seattle, WA

6d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services Apache Airflow

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Job Description

Amazon Security offers a collaborative, security‑focused data environment with a global footprint. The Data Engineer II role sits at the heart of Veritas, a foundational service that provides data for security reviews, threat modeling, and incident response. You will build scalable data infrastructure and high‑quality pipelines inside a large data lake that leverages AWS data services and AI enabled data objects. This onsite, Seattle position comes with a competitive annual salary between USD 132,100 and 178,800, plus a comprehensive benefits package and opportunities to contribute to security initiatives across more than ten countries within the AmSec organization.

Responsibilities

Develop and influence the team’s data strategy and storage roadmap through close collaboration with partners
Lead designs for data governance, define data schemas, and build tools that enable efficient data sharing with customers while meeting strict confidentiality guidelines
Improve data quality and operations through automation and end-to-end CI/CD data pipelines
Adopt best practices in data integrity, modeling, testing, validation, and documentation
Construct end-to-end data pipelines to ingest and transform data from diverse sources and systems
Leverage AI and LLM capabilities to automate manual and repetitive data engineering tasks
Evaluate and implement big data technologies (such as Redshift, Iceberg, Hive/EMR, Spark, SNS, SQS) to optimize processing of very large datasets
Analyze business processes, logical data models, and relational database implementations
Write high‑performing, optimized SQL queries

Requirements

4+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
4+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies
Working knowledge of professional software engineering practices across the full software development lifecycle, including coding standards, architecture, code reviews, source control, continuous deployment, testing, and operational excellence

Technologies

Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon S3
Amazon SNS, Amazon SQS, Apache Airflow, Iceberg, Hive, Spark
SQL, AI/LLM capabilities integrated into data workflows

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Employee Assistance Program (EAP)
Mental health support
Medical Advice Line
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage

Description

Amazon Security (AmSec) seeks a Data Engineer II to join a team dedicated to resource and application discovery within Amazon security. The Veritas product provides essential data for security initiatives such as reviews, threat modeling, detection, access control, and incident response. You will be part of an AmSec organization with a global presence spanning more than ten countries, contributing to scalable security data platforms and cross‑border collaboration.

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6d ago

Data Engineer II, Intl. Seller Services

Amazon.com Services LLC - A57 Seattle, WA

Seattle, WA

6d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

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Job Description

Join Amazon's International Seller Services central analytics data engineering group to design scalable data and ML infrastructure powering GenAI applications.

Responsibilities

Provide technical leadership, drive data engineering initiatives, and deliver end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
Work with large datasets, organizing and curating data for analytics with a strategic, long term view on architecting advanced data ecosystems.
Build efficient and scalable data services and integrate data systems with AWS tools and services to support diverse customer use cases and applications.
Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling and ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate them into robust, scalable, operable solutions with a flexible data architecture.
Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
Identify opportunities to improve existing data solutions and drive continuous enhancements.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
1+ years developing and operating large-scale data structures for business intelligence analytics, including ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.
3+ years of non internship data engineering experience.

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
Oracle
SQL

Compensation

USD 132,100 - 178,800 per year

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Basic Life & AD&D insurance
Supplemental life plans

Description

Based in Seattle, WA onsite, join Amazon's International Seller Services Central Analytics Data Engineering team, tackling modern data challenges by blending traditional engineering practices with transformative analytics and GenAI.

ISS is seeking a motivated, experienced Data Engineer to help design and build the next generation of data and ML infrastructure to power GenAI applications.

We collaborate with Applied Scientists, Data Scientists, and Economists to translate ML research into scalable products that serve customers around the world.

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Aws Glue Engineer Jobs

Senior Data Engineer - Technology

Data Engineer II

Data Engineer II, Intl. Seller Services

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