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Senior Data Engineer

Intercontinental Exchange, Inc

Atlanta, Georgia • Today

Full-time

Sr. Data Engineer

Cargill

Atlanta, Georgia • Today

Full-time

Sr. Data Engineer

Warner Bros. Discovery

Atlanta, Georgia • Today

Full-time

Senior Data Engineer

Invesco

Atlanta, Georgia • Today

Full-time

Senior Data Engineer (Finance Technology)

Cox Communications

Atlanta, Georgia • Today

Full-time

USD 92,300.00 - 153,900.00 per year

Senior Data Engineer/Snowflake/Atlanta, GA LOCAL

Motion Recruitment Partners, LLC

Atlanta, Georgia • Today

Easy Apply

Full-time

$145000 - $160000

Senior Data Engineer (AWS, Azure, Google Cloud Platform)

CapTech Ventures

Atlanta, Georgia • Today

Full-time

Senior Data Engineer @ W2

Cyber Sphere LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

Waystar

Duluth, Georgia • Today

Full-time

Sr Data Engineer

BeyondTrust Software

Johns Creek, Georgia • Today

Full-time

Senior Data Engineer

RedSalsa Technologies, Inc.

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Engineer

MHK TECH INC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

NTT DATA, Inc.

Remote or Plano, Texas • Today

Full-time

USD 62.47 - 75.55 per hour

Sr Data Engineer

Boeing Employees Credit Union

Remote or Washington • Today

Full-time

USD 141,800.00 - 173,300.00 per year

Senior Data Engineer

Shimento, Inc.

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Engineer

Origami Risk LLC

Remote • Today

Full-time

USD 117,000.00 - 146,000.00 per year

Sr Data Engineer

Guild

Remote • Today

Full-time

USD 109,000.00 - 156,000.00 per year

Senior Data Engineer

Quantiphi Inc.

Remote • Today

Full-time

Sr. Data Engineer

Oteemo Inc

Remote or Virginia • Today

Full-time

Senior Data Engineer

Centerfield

Remote • Today

Full-time

USD 157,102.00 per year

Senior Data Engineer

Immersion Consulting

Remote • Today

Full-time

Senior Data Engineer with Databricks Exp. - 100% Remote

SDH Systems

Remote or Arkansas • Today

Contract

Senior Data Engineer

eSystems, Inc.

Remote • 2d ago

Easy Apply

Contract, Third Party

60 - 67

Senior Data Engineer

Metova Federal

Remote • Today

Full-time

Senior Data Engineer

Node.Digital

Remote or Washington, District of Columbia • Today

Full-time

Senior Data Engineer

NDAPARTNERS INC

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Engineer

SPA

Remote • Today

Full-time

USD 156,423.94 per year

Senior Data Engineer

Brooksource

Remote • Today

Contract

$70.00 - $85.00

Senior Data Engineer

Voyager Technologies, Inc.

Remote • Today

Full-time

USD 163,000.00 - 205,000.00 per year

Senior Data Engineer

Novanta Inc

Remote • Today

Full-time

USD 101,100.00 - 161,800.00 per year

Job Details

Skills

Enterprise Architecture
Pivotal
Open Source
Engineering Support
Data Integrity
Version Control
Continuous Integration
Continuous Delivery
Collaboration
Data Integration
Kubernetes
Mentorship
Computer Science
Computer Engineering
Data Science
Mathematics
Data Engineering
Workflow
Performance Tuning
Operations Management
Testing
SQL
Python
Data Quality
Automated Testing
Orchestration
Managed Services
Machine Learning (ML)
Artificial Intelligence
Extract
Transform
Load
Real-time
Data Processing
Streaming
Data Modeling
Warehouse
IT Management
Microsoft Exchange

Enterprise Architecture
Pivotal
Open Source
Engineering Support
Data Integrity
Version Control
Continuous Integration
Continuous Delivery
Collaboration
Data Integration
Kubernetes
Mentorship
Computer Science
Computer Engineering
Data Science
Mathematics
Data Engineering
Workflow
Performance Tuning
Operations Management
Testing
SQL
Python
Data Quality
Automated Testing
Orchestration
Managed Services
Machine Learning (ML)
Artificial Intelligence
Extract
Transform
Load
Real-time
Data Processing
Streaming
Data Modeling
Warehouse
IT Management
Microsoft Exchange

Summary

Overview

Job Purpose

We're seeking a talented Senior Data Engineer to join our Enterprise Architecture team in a cross-cutting role that will help define and implement our next-generation data platform. In this pivotal position, you'll lead the design and implementation of scalable, self-service data pipelines with a strong emphasis on data quality and governance. This is an opportunity to shape our data engineering practice from the ground up, working directly with key stakeholders to build mission-critical ML and AI data workflows.

Responsibilities

Design, build, and maintain our on-premises data orchestration platform using the best-in-breed open source tools
Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
Mentor junior engineers and advocate for engineering excellence in data practices

Knowledge and Experience

At least a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Engineering, or related disciplines.
5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
Deep expertise with orchestrating workflows, performance optimization, and operational management
Strong understanding of data transformation techniques, including experience with testing frameworks and deployment strategies
Experience with stream processing frameworks and technologies
Proficiency with SQL and Python for data transformation and pipeline development
Familiarity with containerized application deployment
Experience implementing data quality frameworks and automated testing for data pipelines
Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Qualifications

Experience with self-hosted data orchestration platforms (rather than managed services)
Background in implementing data contracts or schema governance
Knowledge of ML/AI data pipeline requirements and feature engineering
Experience with real-time data processing and streaming architectures
Familiarity with data modeling and warehouse design principles
Prior experience in a technical leadership role

#LI-HR1 #LI-ONSITE

-

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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: 10123334
Position Id: 940775e64bcb3a8b821dde41e42ef8be
Posted 10 days ago

Fitment

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Company Description About the Organization KIPP Public Schools is a national network of tuition-free public charter schools that prepares students with the skills and confidence to create the future they want for themselves, their communities, and us all. We are a network of 279 schools, nearly 16,500 educators, and nearly 210,000 students and alumni. Our mission: Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and

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Job Details

Skills

Enterprise Architecture
Pivotal
Open Source
Engineering Support
Data Integrity
Version Control
Continuous Integration
Continuous Delivery
Collaboration
Data Integration
Kubernetes
Mentorship
Computer Science
Computer Engineering
Data Science
Mathematics
Data Engineering
Workflow
Performance Tuning
Operations Management
Testing
SQL
Python
Data Quality
Automated Testing
Orchestration
Managed Services
Machine Learning (ML)
Artificial Intelligence
Extract
Transform
Load
Real-time
Data Processing
Streaming
Data Modeling
Warehouse
IT Management
Microsoft Exchange

Enterprise Architecture
Pivotal
Open Source
Engineering Support
Data Integrity
Version Control
Continuous Integration
Continuous Delivery
Collaboration
Data Integration
Kubernetes
Mentorship
Computer Science
Computer Engineering
Data Science
Mathematics
Data Engineering
Workflow
Performance Tuning
Operations Management
Testing
SQL
Python
Data Quality
Automated Testing
Orchestration
Managed Services
Machine Learning (ML)
Artificial Intelligence
Extract
Transform
Load
Real-time
Data Processing
Streaming
Data Modeling
Warehouse
IT Management
Microsoft Exchange

Summary

Design, build, and maintain our on-premises data orchestration platform using the best-in-breed open source tools
Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
Mentor junior engineers and advocate for engineering excellence in data practices

Knowledge and Experience

At least a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Engineering, or related disciplines.
5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
Deep expertise with orchestrating workflows, performance optimization, and operational management
Strong understanding of data transformation techniques, including experience with testing frameworks and deployment strategies
Experience with stream processing frameworks and technologies
Proficiency with SQL and Python for data transformation and pipeline development
Familiarity with containerized application deployment
Experience implementing data quality frameworks and automated testing for data pipelines
Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Qualifications

Experience with self-hosted data orchestration platforms (rather than managed services)
Background in implementing data contracts or schema governance
Knowledge of ML/AI data pipeline requirements and feature engineering
Experience with real-time data processing and streaming architectures
Familiarity with data modeling and warehouse design principles
Prior experience in a technical leadership role

Dice Id: 10123334
Position Id: 940775e64bcb3a8b821dde41e42ef8be
Posted 10 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

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