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Overnight Data Pipeline Engineer Jobs (NOW HIRING)

Kanak Elite Services Inc

Data Pipeline Engineer

Dallas, TX · On-site

$113K - $136K/yr

DATA PIPELINE ENGINEER Location: Dallas, TX - Hybrid MUST BE CURRENTLY WORKING AT A BANK A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified ...

Saviance

Data Pipeline Engineer

$117K - $140K/yr

They are seeking a Data Pipeline Engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and AI/ML initiatives, with a focus on healthcare data environments.

Microsoft

Data Pipeline Engineer

Redmond, WA · On-site

$113K - $187K/yr

In the Customer Service & Support (CSS) team, we are looking for a Data Pipeline Engineer with a passion for building reliable, scalable data platforms that support business intelligence, analytics ...

Snowrelic Inc

Data Pipeline Engineer - W2

Dallas, TX · On-site

$113K - $136K/yr

Data Pipeline Engineer Location: Dallas TX (Hybrid) Must have - (Only Consider 14-15 Years profile) Mandatory Requirements * 3-8 years of experience building and optimizing data pipelines within ...

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Data Pipeline Engineer (Junior - Mid) Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government ...

Serviss

Senior Data Pipeline Engineer (Elastic)

Arlington, VA · On-site +1

$121K - $165K/yr

Senior Data Pipeline Engineer Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and ...

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Overnight Data Pipeline Engineer information

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$44.5K

$129.7K

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How much do overnight data pipeline engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for overnight data pipeline engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by overnight data pipeline engineers, and how can they be addressed?

Overnight Data Pipeline Engineers often encounter challenges such as monitoring and troubleshooting data flows during off-hours when fewer team members are available. This requires strong problem-solving skills and the ability to work independently to quickly resolve issues that might impact downstream analytics or operations. Effective communication with both day and night teams is crucial, as is maintaining detailed documentation to ensure smooth handoffs. Proactively setting up automated alerts and robust error handling can help minimize disruptions and ensure data reliability during overnight runs.

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

AspectOvernight Data Pipeline EngineerData Engineer
Primary FocusDesigning, building, and maintaining data pipelines that run overnight or during off-peak hoursDeveloping and managing overall data architecture, including pipelines, databases, and data models
Work ScheduleTypically overnight shifts or off-hoursStandard business hours, with flexibility for project deadlines
Skills & CertificationsSQL, ETL tools, cloud platforms, scripting languages, certifications like AWS or GCPData modeling, programming, cloud skills, certifications in data management or cloud platforms

While both roles involve data pipeline development, the Overnight Data Pipeline Engineer specializes in managing pipelines during off-hours, focusing on operational stability. Data Engineers have a broader scope, including designing overall data systems and architecture. Both roles require similar technical skills and certifications, but their work schedules and specific responsibilities differ.

What are the key skills and qualifications needed to thrive as an overnight data pipeline engineer?

To thrive as an Overnight Data Pipeline Engineer, you need expertise in data engineering, ETL processes, and programming skills in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with data pipeline tools such as Apache Airflow, Spark, and cloud platforms (AWS, GCP, or Azure), as well as knowledge of database systems, is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills, especially for resolving issues during off-hours. These skills ensure the reliability, efficiency, and timely delivery of data critical for business operations that depend on overnight data processing.

What is an overnight data pipeline engineer?

Overnight Data Pipeline Engineers are professionals responsible for managing, monitoring, and optimizing data pipelines during overnight hours. They ensure that data ingestion, transformation, and loading processes run smoothly while most business operations are offline. Their work is crucial for maintaining up-to-date data for analytics and reporting by the start of each business day. These engineers often troubleshoot issues, perform maintenance, and implement improvements to ensure data reliability and efficiency.

What cities are hiring for Overnight Data Pipeline Engineer jobs?

Cities with the most Overnight Data Pipeline Engineer job openings:

What are the most commonly searched types of Data Pipeline Engineer jobs?

The most popular types of Data Pipeline Engineer jobs are:

What states have the most Overnight Data Pipeline Engineer jobs?

States with the most job openings for Overnight Data Pipeline Engineer jobs include:

Overnight Data Pipeline Engineer jobs near you

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 24 days ago

Job description

Role: DATA PIPELINE ENGINEER

Location: Dallas, TX – Hybrid


MUST BE CURRENTLY WORKING AT A BANK

A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified cloud and data strategy within the Global Banking and Markets (GBM) division

As a contractor, you will be part of a high-performing team of professionals within a 12,000+ member global organization, delivering cutting-edge technology and governance solutions for clients and partners.

Responsibilities:

  • Unified cloud/data strategy: centralize into functional models (real-time, analytical, operational), modernize platforms, enable AI/ML.

Mandatory Requirements

  • 3–8 years of experience building and optimizing data pipelines within Financial Services or Big Tech environments
  • Hands-on expertise with AWS, Spark, Kafka, and ETL frameworks
  • Strong proficiency in data modeling and experience with lakehouse migration projects
  • Proven track record of consolidating fragmented data sources into centralized platforms
  • Advanced skills in SQL and Python

Nice to Have 

  • Experience with real-time data processing in regulated environments
  • Familiarity with AI/ML data enablement use cases

 

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com