ZipRecruiter

Log In

1

Overnight Lead Data Engineer Jobs in Colorado (NOW HIRING)

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data ... Responsibilities • Lead and support the delivery of data platform modernization projects. • ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... Lead and support the delivery of data platform modernization projects. • Design and develop ... lead developers to identify and document manual data movement workflows and design automation ...

Bet365

Data Science Team Lead/Manager

Denver, CO · On-site

... Engineers. We are intentionally recruiting for a specific kind of professional: someone with a ... You will work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead ...

Vizient

Lead Data Scientist

Englewood, CO · On-site

Lead code development and reviews, establish best practices, and mentor data scientists in advanced ... Partner with engineering and platform teams to deploy, monitor, and manage the lifecycle of ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO · On-site

Lead code development and reviews, establish best practices, and mentor data scientists in advanced ... Partner with engineering and platform teams to deploy, monitor, and manage the lifecycle of ...

Trilyon, Inc.

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

Senior Operations & Data Engineer (Snowflake Specialist) / Cloud Engineer Location: Colorado ... Act as the lead administrator for Snowflake environments, ensuring platform uptime, performance ...

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

Responsibilities : • Act as the onsite lead for Azure Databricks data engineering initiatives. • Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ...

Pwc

Data Engineer - Senior Manager

Denver, CO · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO · On-site

Lead code reviews, mentor data scientists, and promote best practices in software development ... Partner with engineering, platform, and business teams to deploy, monitor, and maintain production ...

Deloitte

Sr Databricks Data Engineer

Denver, CO

$117K - $141K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

ResolveSoft Inc

Data Analyst

Denver, CO · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and ...

Booz Allen Hamilton

Data Engineer, Senior

Aurora, CO · On-site

$99K - $225K/yr

Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of ... You'll guide teammates and lead thedevelopment of algorithms and systems. You'll use the right ...

Booz Allen Hamilton

Data Engineer, Senior

Aurora, CO · On-site

$99K - $225K/yr

Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of ... You'll guide teammates and lead thedevelopment of algorithms and systems. You'll use the right ...

Booz Allen Hamilton

Lead Data Scientist

Aurora, CO · On-site

$112K - $257K/yr

R0246466 Data Scientist, Lead The Opportunity: As a data scientist, you're excited at the prospect ... engineering, or data warehousing, or Master's and 12+ years of experience with scientific ...

Releady

Data Engineer, Principal

Denver, CO · On-site

$100 - $125/hr

Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts. * Engineer robust ELT/ETL solutions that ingest, process ...

previous pagenext page

Showing results 21-40

All JobsLead Data Engineer JobsOvernight Lead Data Engineer JobsOvernight Lead Data Engineer Jobs in Colorado

Overnight Lead Data Engineer information

What is an overnight lead data engineer?

An Overnight Lead Data Engineer is a senior-level professional responsible for overseeing data engineering processes and teams during overnight hours. They manage data pipelines, ensure the reliability of data workflows, and address any issues that arise outside of regular business hours. This role often involves supervising a team, coordinating with other departments, and making critical decisions to maintain data system integrity. Overnight Lead Data Engineers are essential for organizations that require 24/7 data operations, such as those in finance, healthcare, or global technology. Their expertise ensures uninterrupted data availability and performance.

What skills and qualifications are needed to thrive as an overnight lead data engineer?

To thrive as an Overnight Lead Data Engineer, you need a robust background in data engineering, database design, and proficiency in programming languages like Python or Scala, often supported by a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), ETL tools, and cloud services (like AWS or Azure) is typically required, along with relevant certifications. Strong leadership, effective communication, and problem-solving abilities are critical soft skills for managing teams and ensuring smooth overnight operations. These skills and qualities are essential to maintain data pipeline reliability, drive project success, and support business needs during off-hours.

What are the unique challenges of working as an overnight lead data engineer, and how can I prepare for them?

Working overnight as a Lead Data Engineer often involves managing critical data pipelines and troubleshooting issues during off-peak hours when fewer team members are available. You may need to take more initiative in decision-making and problem-solving, ensuring data systems run smoothly with minimal supervision. It's important to be comfortable working independently, communicating effectively with day-shift teams for handovers, and maintaining high attention to detail despite the unconventional hours. Building strong documentation habits and leveraging automation can also make overnight responsibilities more manageable.

What is the difference between Overnight Lead Data Engineer vs Data Engineer?

AspectOvernight Lead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires experience with cloud platformsBachelor's/Master's in CS, Data Science, or related; similar certifications may apply
Work EnvironmentLeads overnight data projects, manages teams, and ensures data pipeline stability during night shiftsDevelops and maintains data pipelines, typically during regular business hours
Employer & Industry UsageUsed in companies with 24/7 operations, especially in tech, finance, and e-commerceCommon across industries for data infrastructure development and maintenance

The Overnight Lead Data Engineer focuses on leading overnight data operations and team management, often during night shifts, while a Data Engineer primarily develops and maintains data pipelines during standard hours. Both roles require similar technical skills and certifications, but their work hours and leadership responsibilities differ.

What are the most commonly searched types of Lead Data Engineer jobs in Colorado?

The most popular types of Lead Data Engineer jobs in Colorado are:

Overnight Lead Data Engineer jobs near you
Infographic showing various Overnight Lead Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 10 days ago

Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight

Apply