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Sr Aws Data Engineer Jobs (NOW HIRING)

AWS Data Engineer Lead

Alameda, CA · On-site

$132K - $159K/yr

Syntricate Technologies is seeking a highly experienced Senior AWS Data Engineer Lead to join their team. The ideal candidate will be responsible for designing, building, and maintaining scalable ...

AWS Senior Data Engineer

Torrance, CA · On-site

$108K - $147K/yr

We are looking for a Senior AWS Data Engineer to design, develop, optimize, and support enterprise data pipelines and data integration solutions. Required Skills: * 5+ years of Data Engineering, ETL, ...

Sr. AWS Data Engineer

San Francisco, CA · 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 (Senior)

$108K - $147K/yr

They are seeking a Senior AWS Data Engineer to develop and maintain data pipelines, create data models, and optimize data solutions using various AWS technologies. Responsibilities : • Develop and ...

AWS Data Engineer

Minneapolis, MN · 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 ...

Senior AWS Data Engineer

Dallas, TX · On-site

$50 - $58/hr

In-person (Client interview- Mandatory) Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal ...

Senior AWS Data Engineer

Dallas, TX · On-site

$50 - $58/hr

In-person (Client interview- Mandatory) Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal ...

Pay Range: $45.00hr - $50.00hr Requirement/Must Have: * 5+ years of experience in Data Engineering with advanced Python skills. * Working experience with AWS data technologies, including S3.

Pay Range: $45.00hr - $50.00hr Requirement/Must Have: 5+ years of experience in Data Engineering with advanced Python skills. Working experience with AWS data technologies, including S3. Experience ...

Pay Range: $45.00hr - $50.00hr Requirement/Must Have: * 5+ years of experience in Data Engineering with advanced Python skills. * Working experience with AWS data technologies, including S3.

$84K - $101K/yr

Deliver senior-level data engineering solutions and hand off work to operational teams. Requirements * 6-9 years of hands-on experience in data engineering. * Hands-on experience with AWS Lambda.

... data use cases while contributing to engineering standards and best practices in a modern data ... support as needed Skills snowflake, aws glue, data, data modeling Additional Skills ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in Minneapolis, MN. The ideal candidate will have hands-on experience delivering data ...

WI · On-site

$120K - $160K/yr

Description SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role is central to ...

Sr. Systems Engineer (AWS Data Engineer)

TX · Remote

$107K - $146K/yr

ORA_REMOTE Description SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role ...

Showing results 21-40

Sr Aws Data Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Sep 14, 2026, the average yearly pay for sr 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 does a Sr AWS Data Engineer do?

A Sr AWS Data Engineer is responsible for designing, building, and maintaining data infrastructure on Amazon Web Services (AWS). They create data pipelines, manage data storage solutions, and ensure that large volumes of data are processed efficiently and securely. Their role often involves working with services like AWS Glue, Redshift, S3, and Lambda, and collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics needs. Senior engineers also mentor junior staff and help define best practices for data engineering in the cloud.

What are the key skills and qualifications needed to thrive as a Sr AWS Data Engineer?

To thrive as a Sr AWS Data Engineer, you need a deep understanding of data modeling, ETL processes, cloud architecture, and proficiency in programming languages like Python or Scala, typically supported by a relevant degree and AWS certifications. Familiarity with AWS services such as Redshift, S3, Glue, Lambda, and orchestration tools like Airflow or Step Functions is crucial. Strong problem-solving, communication, and collaboration skills help you work effectively across teams and manage complex data solutions. These competencies ensure you can design, implement, and optimize scalable data pipelines that support business analytics and decision-making.

How does a Sr AWS Data Engineer typically collaborate with data scientists and other stakeholders on projects?

As a Sr AWS Data Engineer, you’ll regularly partner with data scientists, analysts, and business stakeholders to design and implement scalable data solutions. Your role involves gathering requirements, translating them into technical specifications, and building robust data pipelines using AWS services. Effective communication is essential, as you'll need to ensure data is accessible, reliable, and well-documented so the wider team can derive actionable insights. Frequent cross-functional meetings and agile project management structures are common, fostering collaboration and alignment on project goals.

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

AspectSr Aws Data EngineerData Engineer
Required CertificationsAWS certifications (e.g., AWS Certified Data Analytics)Often similar, but less emphasis on certifications
Work EnvironmentCloud-based data solutions on AWS platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning scalable data pipelines, optimizing AWS servicesBuilding and maintaining data pipelines, data modeling
Experience LevelAdvanced, with cloud-specific expertiseEntry to mid-level, broader data skills

The main difference between a Sr Aws Data Engineer and a Data Engineer lies in cloud specialization. The Sr Aws Data Engineer focuses on AWS cloud services and advanced cloud-based data solutions, while a Data Engineer may work across various environments with broader data management skills.

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Infographic showing various Sr Aws Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior AWS Data Engineer/Architect.

Piscataway, NJ • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees

$68.50 - $91.75/hr

Contractor

Re-posted 6 days ago


Job description

Role: Senior AWS Data Engineer/Architect.
Location: Piscatway, NJ (Day 1 onsite Hybrid)
Position type: W2 contract

 About the Role

  You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.

 Job Description: 

   - Architect and implement cloud-native data pipelines on AWS

  - Build serverless compute layers using Lambda, Step Functions, and Airflow

  - Design data lake storage strategies using S3, Glue, Athena, and Redshift

  - Integrate real-time data streams via Kinesis and SQS

  - Collaborate with business analysts to translate reporting requirements into schema and pipeline design

  - Own data quality, pipeline monitoring, and alerting via CloudWatch

  - Lead schema design for Athena and Postgres tables — DDL, partitioning, indexing

  - Evaluate and integrate AI/ML services — Bedrock, Comprehend, Transcribe

  - Document architecture decisions and maintain runbooks

  Must Have

   - overall 10 to 15+ with 6+ years AWS data engineering experience

  - Expert Python — data transformation, boto3, async processing

  - Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow

  - Airflow — production DAG development and debugging

  - SQL — complex queries, window functions, partitioning, performance tuning

  - IAM — roles, policies, cross-account access, permissions boundaries

  - Experience designing event-driven, serverless architectures at scale

  - Strong understanding of data lake patterns — partitioning, file formats, crawlers

  Nice to Have

   - Amazon Connect / telephony platform experience

  - LLM integration — prompt engineering, Bedrock, API gateway patterns

  - Amazon Transcribe / Call Analytics

  - Terraform / CloudFormation

  - QuickSight dashboarding

  - Multi-account AWS organisation management