Senior Data Engineer (AWS & Confluent Data/AI Projects) | Remote - PH

TASQ Staffing Solutions; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Remote Jobs in the United States seeks a Senior Data Engineer to architect scalable data pipelines on AWS and optimize real-time streaming with Confluent for AI projects. This fully remote role offers flexible scheduling and cross-team collaboration.

You will work with AWS services (S3, Glue, EMR, Redshift, Kinesis, Lambda, MSK), Airflow, and ML tooling (SageMaker) to deliver data-driven insights and production-ready solutions.

Qualifications

• Bachelor's or master's degree in computer science, software engineering, or a related quantitative field.
• 3 to 5 years of experience in data engineering with a focus on cloud-based solutions.
• Strong expertise in AWS data services (S3, Glue, EMR, Redshift, Kinesis, Lambda).
• Extensive hands-on experience with Confluent Platform/Apache Kafka for real-time data streams.
• Proficiency in Python, PySpark, Scala, or Java.
• SQL and database systems (relational and NoSQL).
• Understanding of data warehousing, data lakes, and data modeling (star/snowflake).
• Experience with CI/CD pipelines and DevOps (Git, Terraform, Jenkins, Azure DevOps).
• AWS Certifications (e.g., Data Analytics, Specialty).

Responsibilities

• Architect and design scalable data pipelines on AWS for batch and real-time processing.
• Design, implement, and optimize data streaming solutions using Confluent Kafka.
• Develop data solutions leveraging AWS services (S3, Glue, EMR, Redshift, Kinesis, Lambda, MSK).
• Orchestrate data workflows with AWS Step Functions and Airflow (MWAA).
• Enable analytics & ML workflows with Athena, QuickSight, and SageMaker integration.
• Collaborate with cross-functional teams to ensure secure, scalable data architectures.

Skills

AWS data services

Confluent Kafka

Programming: Python/PySpark/Scala/Java

SQL & databases

Data warehousing & data lakes

CI/CD & DevOps

Terraform & Git

Education

Bachelor's or Master's in CS/SE or related field

Tools

Airflow

Jenkins

Git

AWS MWAA

Job description

About the job: Senior Data Engineer (AWS & Confluent Data/AI Projects) | Remote

Work Set-up: Remote

Schedule: 10am-6pm SGT

Responsibilities:

• Architect and Design Data Solutions: Lead the design and architecture of scalable, secure, and efficient data pipelines for both batch and real-time data processing on AWS. This includes data ingestion, transformation, storage, and consumption layers.
• Confluent Kafka Expertise: Design, implement, and optimize highly performant and reliable data streaming solutions using Confluent Platform (Kafka, ksqlDB, Kafka Connect, Schema Registry). Ensure efficient data flow for real-time analytics and AI applications.
• AWS Cloud Native Development: Develop and deploy data solutions leveraging a wide range of AWS services, including but not limited to:
• Data Storage: S3 (Data Lake), RDS, DynamoDB, Redshift, Lake Formation.
• Data Processing: Glue, EMR (Spark), Lambda, Kinesis, MSK (for Kafka integration).
• Orchestration: AWS Step Functions, Airflow (on EC2 or MWAA)
• Analytics & ML: Athena, QuickSight, SageMaker (for MLOps integration).

Required Skills and Qualifications:

• Bachelor's or master's degree in computer science, software engineering, or a related quantitative field.
• 3 to 5 years of experience in data engineering, with a significant focus on cloud-based solutions.
• Strong expertise in AWS data services (S3, Glue, EMR, Redshift, Kinesis, Lambda, etc.).
• Extensive hands-on experience with Confluent Platform/Apache Kafka for building real-time data streaming applications.
• Proficiency in programming languages such as Python, PySpark, Scala, or Java.
• Expertise in SQL and experience with various database systems (relational and NoSQL).
• Solid understanding of data warehousing, data lakes, and data modeling concepts (star schema, snowflake schema, etc.)
• Experience with CI/CD pipelines and DevOps practices (Git, Terraform, Jenkins, Azure DevOps, or similar).
• AWS Certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified)

Preferred Qualifications (Nice to Have):

• Solutions Architect - Associate/Professional).
• Experience with other streaming technologies (e.g., Flink).
• Knowledge of containerization technologies (Docker, Kubernetes).
• Familiarity with data mesh or data fabric concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI, and QuickSight).
• Understanding of MLOps principles and tools.
• The candidate must have a working laptop