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Senior Aws Data Engineer Jobs (NOW HIRING)

Sr. AWS Data Architect (Remote)

$68.75 - $92/hr

Cognizant is seeking a seasoned Senior AWS Data Architect to lead the design and implementation of ... Serve as the lead engineer on high-priority initiatives. Architect and build complex transformation ...

AWS Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AWS Data Engineer Plano, TX (Hybrid role) Must have skills: AWS, Java/ Python, Lake formation, Glue (ETL), Spark/PySpark, ETL Domain: Banking / Credit card Required qualifications, capabilities, and ...

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 pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

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 · 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 · 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

Atlanta, GA · 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.

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 ...

Sr. AWS Data Engineer with Snowflake

Norfolk, VA · On-site

$110K - $133K/yr

... ELT tools - SSIS, AWS Glue / Lambda, DMS and AWS Managed Services. 6+ years of programming ... Hands-On experience with GitHub, JIRA, Jenkins and CI/CD tools Good understanding of Data ...

AWS Data Engineer

Dallas, TX · 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 · 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 · 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 · 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 · 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 ...

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Senior Aws Data Engineer information

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$81K

$126.3K

$175K

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

As of Jul 13, 2026, the average yearly pay for senior aws data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Aws Data Engineer vs Data Engineer?

AspectSenior Aws Data EngineerData Engineer
Required CredentialsAWS certifications, SQL, Python, SparkSQL, Python, ETL tools, basic AWS knowledge
Work EnvironmentCloud-based data pipelines, AWS servicesOn-premises or cloud data environments
Employer & Industry UsageTech, finance, healthcare using AWSVarious industries, including startups and enterprises
Common Search & ComparisonOften compared for experience level and AWS expertiseEntry to mid-level data roles

The main difference between a Senior Aws Data Engineer and a Data Engineer lies in experience, AWS-specific skills, and responsibilities. Senior Aws Data Engineers typically have advanced AWS certifications and focus on designing and managing cloud-based data solutions, whereas Data Engineers may work with a broader range of tools and environments. Both roles are essential in data-driven organizations, but the senior role involves more strategic planning and cloud architecture expertise.

What does a Senior AWS Data Engineer do?

A Senior AWS Data Engineer is responsible for designing, developing, and maintaining large-scale data processing systems on Amazon Web Services (AWS). They build data pipelines, manage data storage solutions, and ensure data quality, security, and scalability. These professionals often work closely with data scientists, analysts, and other engineers to support data-driven decision-making within an organization. Their expertise includes tools like AWS Glue, Redshift, S3, and Lambda, as well as programming languages such as Python or Scala.

How does a Senior AWS Data Engineer typically collaborate with cross-functional teams in large-scale projects?

As a Senior AWS Data Engineer, you will regularly collaborate with data scientists, analysts, software engineers, and product managers to design and implement scalable data solutions. You are often responsible for gathering requirements, translating business needs into technical specifications, and ensuring data pipelines meet both performance and compliance standards. Effective communication and proactive problem-solving are key, as you'll be expected to guide junior engineers, participate in architecture discussions, and coordinate releases or updates to data infrastructure.

What are the key skills and qualifications needed to thrive as a Senior AWS Data Engineer, and why are they important?

To thrive as a Senior AWS Data Engineer, you need advanced expertise in data engineering, cloud architecture, and programming languages like Python or Scala, typically supported by a bachelor’s degree in computer science or a related field. Proficiency with AWS services such as Redshift, Glue, Lambda, S3, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are crucial for designing scalable data solutions, ensuring data integrity, and enabling efficient analytics in cloud environments.
What cities are hiring for Senior Aws Data Engineer jobs? Cities with the most Senior 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 Senior Aws Data Engineer jobs? States with the most job openings for Senior Aws Data Engineer jobs include:
Sr. AWS Data Architect (Remote)

Sr. AWS Data Architect (Remote)

Cognizant

Remote

$68.75 - $92/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants


Job description

Job Summary:
Cognizant is seeking a seasoned Senior AWS Data Architect to lead the design and implementation of their next-generation data ecosystem. The role involves serving as the primary technical authority, blending architectural strategy with hands-on engineering excellence while mentoring engineering teams and working directly with client architects across complex environments.
Responsibilities:
• Architectural Strategy: Define and maintain the end-to-end blueprint for enterprise data platforms, encompassing ingestion, storage (Data Lakes/Warehouses), processing, and visualization.
• Hands-on Technical Leadership: Serve as the lead engineer on high-priority initiatives. Architect and build complex transformation frameworks using Python/PySpark and Apache Airflow.
• Modernization & Migration: Lead enterprise-scale database modernization and migration programs, utilizing AWS DMS and schema conversion tools to transform legacy on-premise workflows into scalable, cloud-native AWS patterns.
• Performance Optimization: Own the performance, scalability, and cost-efficiency of our data environments. Perform deep-dive query optimization and resource tuning across Redshift, Athena, and EMR.
• Agile Governance & Stakeholder Management: Lead technical planning (including PI planning), conduct architecture and code reviews, and provide direct technical liaison services to client architects. Ensure seamless delivery in complex, multi-vendor ecosystems.
Qualifications:
Required:
• Expert-level proficiency with AWS Glue, Redshift, Aurora, EMR (Spark/Hadoop), S3, Athena, Kinesis, and Lambda.
• Mastery of SQL, advanced data modeling (relational and non-relational), and development of production-grade data pipelines using Python/PySpark.
• Hands-on experience architecting and managing complex, mission-critical workflows in Apache Airflow.
• Proven track record of executing end-to-end data migration strategies and large-scale database modernization projects.
• Exceptional experience leading large, cross-functional teams in Agile environments.
• Proven ability to navigate multi-vendor landscapes and influence technical strategy with client stakeholders from design through to production go-live.
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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