Senior Data Engineer (AWS, Python/Java)
Listing checked August 17, 2026 · pay as published by Talentxo
Overview
The role owns the design and maintenance of scalable data pipelines and infrastructure at scale. It requires hands on work with AWS services including S3, Glue, EMR, Lambda, and Redshift to enable analytics and machine learning initiatives. The team collaborates with data scientists and analysts to understand requirements, optimize storage, ensure data governance, and monitor pipelines. The position offers exposure to emerging technologies and a chance to influence data engineering capabilities across projects.
What You'll Do6
- 1Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift
- 2Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives
- 3Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness
- 4Implement data governance and security best practices to ensure compliance and data integrity
- 5Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring
- 6Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities
Requirements6
- 1Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 26-8 years of prior experience in data engineering, with a focus on designing and building data pipelines
- 3Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift
- 4Strong programming skills in languages such as Python, Java, or Scala
- 5Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies
- 6Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus
Who Should Apply
Ideal candidate holds a strong background in data engineering with hands on experience designing and building data pipelines in AWS. They should be proficient in Python or Java, comfortable with SQL and NoSQL, and knowledgeable about data warehousing and orchestration tools. Experience with containers and Airflow is advantageous and they should be prepared to collaborate with data scientists and analysts on analytics and ML initiatives.
Salary Insight
Open to Discussion
Pay and demand for Data Engineering roles
AggregatedTypical pay
$80/hour
This role
Pay not disclosed
Most Data Engineering roles pay $55–$103 per hour.
Based on 602 similar roles that publish pay · 110 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 729
- Listed in last 30 days
- 336
- Remote
- 94%
Hiring most right now: micro1 (268) · Mercor (96) · AfterQuery (87)
Most requested skills · share of roles
- python19%
- technical writing10%
- ai evaluation8%
- llm evaluation7%
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