Job Description
Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.
For one of our clients, we are looking for a Senior Data Engineer , remotely from United States .
As a Senior Data Engineer, you will design and build scalable, efficient data pipelines and systems to support a variety of business functions. This role involves creating and maintaining a robust data environment while ensuring the accuracy, consistency, and availability of data. You will work with cloud technologies like AWS to support analytics, machine learning, and product development teams. The ideal candidate will have strong coding skills, hands-on experience with AWS services, and a passion for transforming data into actionable insights.
Accountabilities:
- Design and develop scalable data pipelines that integrate enterprise systems and third-party data sources.
- Build and maintain data infrastructure to ensure speed, accuracy, and uptime.
- Collaborate with data science teams to build feature engineering pipelines and support machine learning initiatives.
- Work with AWS cloud technologies like S3, Redshift, and Spark to create a world-class data mesh environment.
- Ensure proper data governance and implement data quality checks and lineage at every stage of the pipeline.
- Develop and maintain ETL processes using AWS Glue, Lambda, and other AWS services.
- Integrate third-party data sources and APIs into the data ecosystem.
Requirements
- 8+ years of experience as a data engineer, with a strong background in data lake systems and cloud technologies.
- 4+ years of hands-on experience with AWS technologies, including S3, Redshift, EMR, Kafka, and Spark.
- Proficient in Python or Node.js for developing data pipelines and creating ETLs.
- Strong experience with data integration and frameworks like Informatica and Python/Scala.
- Expertise in creating and managing AWS services (EC2, S3, Lambda, etc.) in a production environment.
- Solid understanding of Agile methodologies and software development practices.
- Strong analytical and communication skills, with the ability to influence both IT and business teams.
Benefits
- Competitive salary range of $135,000 to $155,000 (based on experience).
- Annual performance-based bonuses.
- Comprehensive health, dental, and vision coverage for individuals and families.
- 401(k) plan with employer matching.
- Paid Time Off (PTO) and holidays.
- Remote work flexibility and a collaborative, high-performing team environment.
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Key skill Required
- Software Development
- Python
- AWS
- Agile methodologies
- AWS Glue
- Data Governance
- Data Lake
- Analytics
- Business Functions
- Communication
- Comprehensive
- Data Ecosystem
- Data Infrastructure
- Data Integration
- Data Pipelines
- Data Quality
- Data Science
- Design
- Development
- Ecosystem
- Governance
- Influence
- Infrastructure
- Integration
- Learning
- Learning Initiatives
- Machine Learning
- Node.JS
- Pipeline
- Product Development
- Production Environment
- Science
- SPARK
