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Overnight Lead Data Engineer Jobs in Colorado (NOW HIRING)

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability. - Execute advanced ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all ...

Lead Data Engineer

Denver, CO

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloud ...

Lead Data Engineer

Denver, CO

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloudbased ...

Tech Lead, Data Engineer

Denver, CO · Hybrid

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Why this Role Matters We'relooking for a Tech Lead, Data Engineer to help design, build, andoperatea scalable analytics data platform that supports key business domains. This role focuses on ...

Tech Lead, Data Engineer

Denver, CO · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Why this Role Matters We're looking for a Tech Lead, Data Engineer to help design, build, and operate a scalable analytics data platform that supports key business domains. This role focuses on ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will report directly to a Lead Data Engineer and work closely with the VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will report directly to a Lead Data Engineer and work closely with the VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will report directly to a Lead Data Engineer and work closely with the VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the ...

Lead Platform Data Engineer

Golden, CO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Summary As a Lead Platform Data Engineer, you will own the data architecture that connects product applications across the full customer lifecycle - from specification and ordering through ...

Lead Data Scientist Location - Denver , CO Your Role We are seeking a highly experienced Senior AI Architect / Lead Engineer to lead the design, architecture, and development of next-generation AI ...

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable data pipelines that bridge on-premises and cloud environments. You'll leverage your expertise in data ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... Our strategy is to be the reinvention partner of choice for our clients and lead in the safe ...

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... Our strategy is to be the reinvention partner of choice for our clients and lead in the safe ...

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... Our strategy is to be the reinvention partner of choice for our clients and lead in the safe ...

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... Our strategy is to be the reinvention partner of choice for our clients and lead in the safe ...

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... Our strategy is to be the reinvention partner of choice for our clients and lead in the safe ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... Our strategy is to be the reinvention partner of choice for our clients and lead in the safe ...

Data Engineer

Denver, CO · On-site

$90K - $107K/yr

... lead times, safety stock, supplier and customer data) • Identify and remediate data quality ... data engineering within the organization Performance Expectations: • Drive measurable ...

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Showing results 1-20

Overnight Lead Data Engineer information

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 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.
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.

Lead Data Engineer

eFulgent

Englewood, CO • On-site

$101K - $133K/yr

Contractor

Re-posted 15 days ago


Job description

Job Summary (Lead Data Engineer - Englewood, CO)
- Lead the design, development, and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability.
- Execute advanced analytics, machine learning, and generative AI techniques to enhance network security and operational efficiency.
- Leverage AWS for building and deploying scalable data engineering solutions.
- Implement monitoring, alerting, and continuous integration/delivery pipelines for reliable data operations.
- Develop and manage data integration solutions to support analytics/reporting needs.
- Conduct complete analytics lifecycle: data exploration, grooming, modeling, validation, and prototyping.
- Analyze diverse data sources (APIs, flat files, databases, distributed file systems) for analytic relevance.
- Interpret and communicate analytic results to drive organizational action and improvements.
- Collaborate with cross-functional teams to integrate analytic solutions into production and educate stakeholders.
- Mentor peers and share expertise in analytic techniques, tools, and best practices.
- Required skills: ETL, ML Ops, AI/ML, Data Warehousing, Spark, Python, Scala/Java, SQL, Big Data tools, statistical analysis.
- Good to have: AWS, Linux, text analysis/mining, NoSQL databases.
- Education/Experience: Bachelor’s (8+ years) or Master’s (6+ years) in computer science or related quantitative field.
- Work location: Onsite in Englewood, CO; 12-month contract; visa-independent candidates only.