Senior Data Engineer

TJHelpers is committed to building a new generation of data specialists by combining mentorship, practical experience, and structured development through our “Helpers as a Service” model.

We’re looking for a Senior Data Engineer to join our growing data team and help design, build, and optimize scalable data pipelines and infrastructure. You will work with cross-functional teams to ensure high-quality, reliable, and efficient data solutions that empower analytics, AI models, and business decision-making.
 

Responsibilities

• Design, implement, and maintain robust ETL/ELT pipelines for structured and unstructured data.
• Build scalable data architectures using modern tools and cloud platforms (e.g., AWS, GCP, Azure).
• Collaborate with data analysts, scientists, and engineers to deliver reliable data solutions.
• Ensure data quality, lineage, and observability across all pipelines.
• Optimize performance, scalability, and cost efficiency of data systems.
• Mentor junior engineers and contribute to establishing best practices.
   

Requirements

• Strong proficiency in one or more programming languages for data engineering: Python, Java, Scala, or SQL.
• Solid understanding of data modeling, warehousing, and distributed systems.
• Experience with modern data frameworks (e.g., Apache Spark, Flink, Kafka, Airflow, dbt).
• Familiarity with relational and NoSQL databases.
• Good understanding of CI/CD, DevOps practices, and agile workflows.
• Strong problem-solving skills and ability to work in cross-functional teams.
   

Nice to Have

• Experience with cloud data services (e.g., BigQuery, Snowflake, Redshift, Databricks).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Exposure to data governance, security, and compliance frameworks.
• Familiarity with ML/AI pipelines and MLOps practices.
   

We Offer

• Mentorship and collaboration with senior data architects and engineers.
• Hands-on experience in designing and scaling data platforms.
• Personal learning plan, internal workshops, and peer reviews.
• Projects with real clients across fintech, healthcare, and AI-driven industries.
• Clear growth path toward Lead Data Engineer and Data Architect roles.