Devsu
Senior Data Engineer (AWS, Python & SQL)
Remote Data Engineering role with clear candidate location fit.
PostedJul 6, 2026
Eligible countries25 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Senior Data Engineer (AWS, Python & SQL)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Responsibilities
- Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
- Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
- Architect data processing systems capable of handling complex data flows and large-scale datasets.
- Develop reliable, efficient, and cost-effective data solutions in an AWS environment.
- Ensure high standards of data quality through automation and best engineering practices.
- Optimize platform performance, resiliency, scalability, and operational costs.
- Collaborate closely with software engineers, analysts, and business stakeholders.
- Mentor engineers and analysts on data engineering best practices.
- Participate in architecture discussions and technical decision-making.
Must haves
- 4+ years of experience as a Data Engineer working with modern data technologies.
- Strong proficiency in Python and SQL.
- Experience processing large-scale datasets.
- Hands-on experience with Apache Spark and Apache Airflow.
- Experience designing and architecting data processing systems in AWS.
- Experience with Redshift and/or Snowflake.
- Knowledge of Fivetran or similar data ingestion tools.
- Strong understanding of data quality, automation, and data engineering best practices.
- Excellent communication and interpersonal skills.
Nice to haves
- Experience with streaming technologies such as Kafka or AWS Kinesis Firehose.
- Knowledge of Docker and/or Kubernetes.
- Familiarity with Ruby or R.
- Experience building or migrating a Data Warehouse.
- Experience leading projects or mentoring technical teams.
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