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Overnight Aws Data Engineer Jobs (NOW HIRING)

AWS Data Engineer

CO ยท On-site +1

$114K - $137K/yr

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 ...

AWS Data Engineer

Manhattan, NY ยท On-site

$40/hr

Position We are looking for an experienced AWS Data Engineer to join the team that develop a data-centric platform that empowers multiple data sources about consumers behaviors across the global for ...

AWS Data Engineer

CO ยท On-site +1

$114K - $137K/yr

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 ...

AWS Data Engineer

Atlanta, GA ยท On-site

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. 8+ years of experience in Data Engineer with AWS services like Simple Storage Service ...

AWS Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

AWS Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.

Sr. AWS Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US) Mode: Hybrid(3 day a week onsite) Employment type: Contract Role Summary We are seeking a highly skilled AWS Data ...

AWS Data Engineer

$117K - $140K/yr

Job title: AWS Data Engineer Location: Remote * Proficiency in Redshift, Python, Glue - Key Skills that are mandatory. Should be very good in AWS Redshift. * Lambda function, step function ...

AWS Data Engineer

Greenwood Village, CO ยท On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

AWS Data Engineer

Dallas, TX ยท On-site

$60 - $65/hr

AWS Data Engineer Location: Dallas, TX (Hybrid - 3 days per week in-office) Interview Process: In-Person Interview Profiles Required: 8-12 Years of Experience Locals & Non-Locals Can Apply Core ...

AWS Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

AWS Data Engineer Job Location: San Francisco, CA Job Type: Contract * 7+ years of experience in Amazon Web Services (AWS) Cloud Computing * Strong background in designing, developing, and ...

AWS Data Engineer

Atlanta, GA ยท Remote

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. \n \n \n 8+ years of experience in Data Engineer with AWS services like Simple Storage ...

AWS Data Engineer/ Lead

Newark, NJ ยท On-site

$107K - $141K/yr

W2 Position AWS Data Engineer/ Lead Newark, NJ. 3 days /week hybrid work Long Term Contract We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical ...

AWS Data Engineer - w2

Reston, VA ยท On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration: Fulltime /Contract Onsite: 5 Days Onsite need only USC and GC Rate: 60/hr on W2 Seeking an AWS Data ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

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Overnight Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 13, 2026, the average yearly pay for overnight aws data 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 is the difference between Overnight Aws Data Engineer vs Cloud Data Engineer?

AspectOvernight Aws Data EngineerCloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Solutions ArchitectCloud certifications (AWS, Azure, GCP), Data Engineering certifications
Work EnvironmentPrimarily cloud-based, often with overnight shifts for data processingCloud platforms, flexible hours depending on project needs
Industry UsageTech, finance, healthcare with AWS cloud focusVarious industries using multiple cloud providers

The Overnight Aws Data Engineer specializes in managing data pipelines on AWS during overnight hours, focusing on data processing and analytics. In contrast, a Cloud Data Engineer works across multiple cloud platforms, handling broader cloud-based data solutions with flexible schedules. Both roles require cloud certifications and involve working in cloud environments, but the Overnight Aws Data Engineer is more specific to AWS and overnight shifts.

What cities are hiring for Overnight Aws Data Engineer jobs? Cities with the most Overnight Aws Data Engineer job openings:
What are the most commonly searched types of Aws Data Engineer jobs? The most popular types of Aws Data Engineer jobs are:
What states have the most Overnight Aws Data Engineer jobs? States with the most job openings for Overnight Aws Data Engineer jobs include:

AWS Data Engineer

Qode

CO โ€ข On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 14 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
โ€ข Lead and support the delivery of data platform modernization projects.
โ€ข Design and develop robust and scalable data pipelines leveraging AWS native services.
โ€ข Optimize ETL processes, ensuring efficient data transformation.
โ€ข Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
โ€ข Design automations and integrations to resolve data inconsistencies and quality issues
โ€ข Perform system testing and validation to ensure successful integration and functionality.
โ€ข Implement security and compliance controls in the cloud environment.
โ€ข Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
โ€ข Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
โ€ข 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
โ€ข Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
โ€ข Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
โ€ข Experience with streaming and batch data pipeline/engineering architectures.
โ€ข Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
โ€ข Hands-on experience with Databricks and a willingness to grow capabilities.
โ€ข Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
โ€ข Strong problem-solving and analytical skills.
โ€ข Knowledge of Dataiku is needed
โ€ข Graduate/Post-Graduate degree in Computer Science or a related field.
โ€ข AWS S3 (data storage, export, recall)
โ€ข Athena (querying data lakes)
โ€ข Data pipelines (batch & near-real-time)
โ€ข Integration with external systems (FHIR)
โ€ข Secure data handling (KMS, Macie)
โ€ข Cloud-native analytics
โ€ข Multi-account, multi-region data architecture
โ€ข BI integrations: Power BI, Tableau, QuickSight