Senior Level Aws Data Engineer Jobs
Senior level aws data engineer jobs put experienced engineers in charge of platform architecture, data pipeline ownership, and the cross-functional initiatives that drive data strategy forward. Roles are concentrated across Technology & Software, Consulting & Professional Services, and Energy, with a mix of on-site, remote, and hybrid settings, and employers like EXL, ENGIE, and Cognizant hiring at this level now.
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See related jobsMust be able to attend an in person final interview in Parsippany, NJ
Top Skills:
- AWS
- Databricks
- Python
- SQL
- AI experience is plus, not a must
Description:
- 8+ years relevant industry and functional experience in Database and Cloud-based technologies
- Experience in building data ingestion pipelines for Structured and Unstructured data both for storage and optimal retrieval
- Experience working with Cloud data stores (specifically AWS), noSQL, Graph and Vector databases
- Proficiency with languages such as Python, SQL, and PySpark
- Experience working with Databricks and Snowflake technologies
- Exposure to Machine learning and AI concepts related to RAG architecture, LLMs and embedding is a plus
- Experience with relevant code repository and project tools such as GitHub, JIRA and Confluence
- Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace
- Highly innovative with aptitude for foresight, systems thinking and design thinking, with a bias towards simplifying processes
- Detail oriented individual with strong analytical, problem-solving, and organizational skills
- Ability to clearly communicate to both technical and business teams
- Bachelor's degree in Engineering, Computer Science or related field; Master's degree is a plus.
Must be able to attend an in person final interview in Parsippany, NJ
Top Skills:
- AWS
- Databricks
- Python
- SQL
- AI experience is plus, not a must
Description:
- 8+ years relevant industry and functional experience in Database and Cloud-based technologies
- Experience in building data ingestion pipelines for Structured and Unstructured data both for storage and optimal retrieval
- Experience working with Cloud data stores (specifically AWS), noSQL, Graph and Vector databases
- Proficiency with languages such as Python, SQL, and PySpark
- Experience working with Databricks and Snowflake technologies
- Exposure to Machine learning and AI concepts related to RAG architecture, LLMs and embedding is a plus
- Experience with relevant code repository and project tools such as GitHub, JIRA and Confluence
- Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace
- Highly innovative with aptitude for foresight, systems thinking and design thinking, with a bias towards simplifying processes
- Detail oriented individual with strong analytical, problem-solving, and organizational skills
- Ability to clearly communicate to both technical and business teams
- Bachelor's degree in Engineering, Computer Science or related field; Master's degree is a plus.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Energy
- Transportation & Logistics
Senior Level Aws Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level aws data engineer job?
At the senior level, employers look beyond technical execution to architectural judgment and cross-team influence. Candidates who stand out demonstrate ownership of end-to-end data systems, a history of designing scalable pipelines on AWS services like Redshift, Glue, and Lake Formation, and the ability to mentor junior engineers. Certifications like AWS Certified Data Analytics or Solutions Architect carry weight, but documented impact on production systems matters most.
Which companies hire senior level aws data engineers?
Companies hiring senior level aws data engineers right now include EXL, ENGIE, and Cognizant, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from large enterprises scaling their cloud data platforms, technology firms building internal analytics infrastructure, and consulting organizations delivering data solutions for enterprise clients.
Are there remote senior level aws data engineer jobs?
Yes, remote and hybrid options are widely available at the senior level, though some roles require on-site presence for regulated industries or infrastructure-critical teams. About 60% of senior level aws data engineer openings are remote or hybrid as of November 2026, reflecting strong demand for experienced engineers who can lead distributed data initiatives without proximity to a central office.
What makes a aws data engineer role senior level?
A senior level aws data engineer role is defined by scope and ownership rather than task execution. Senior engineers are expected to set the architecture direction for data platforms, make infrastructure decisions that affect multiple teams, and take accountability for system reliability and scalability. Mentoring less experienced engineers and collaborating with data scientists, product managers, and engineering leaders are standard expectations, not occasional responsibilities.
Which industries hire the most senior level aws data engineers?
Senior Level aws data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Energy, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they manage large, complex data ecosystems where experienced engineers are needed to own platform design, ensure data quality at scale, and align infrastructure decisions with broader business objectives.