Data Engineer

Location: USA 🇺🇸
Job Type: Full-Time
Work Arrangement: Remote / Hybrid / On-site
Experience: s to 3+ years
Salary: USD $150,000–$200,000/year

About the Role

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong SQL and Python skills and experience working with databases, cloud platforms, and data processing technologies.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines.
• Develop data ingestion and transformation workflows.
• Design and optimize databases and data warehouses.
• Process and analyze large datasets.
• Ensure data quality, reliability, and security.
• Integrate data from multiple sources and APIs.
• Monitor and troubleshoot data pipelines.
• Collaborate with Data Scientists, Software Engineers, and Business teams.
• Implement automated data workflows and documentation.

Required Skills

• Python
• SQL
• ETL / ELT
• Data Pipelines
• Data Warehousing
• Apache Spark / PySpark
• AWS / Azure / Google Cloud Platform
• Git / GitHub
• Database fundamentals
• Data Modeling
• REST APIs

Preferred Skills

• Airflow
• Databricks
• Snowflake
• Kafka
• AWS S3 / Redshift / Glue
• Azure Data Factory
• BigQuery
• Docker / Kubernetes
• Terraform
• CI/CD
• dbt
• NoSQL / MongoDB

Education

Master's degree in Computer Science, Data Engineering, Information Technology, Data Science, or a related technical field.

Candidate Criteria

• s and candidates with 1–3 years of experience.
• Currently living in the USA.
• Relevant data/technology experience through internships, projects, or professional work.
• Valid US work authorization, where required(F1-OPT/STEM-OPT/H1-B).
• Open to Work / actively seeking opportunities.

Target Job Titles

Data Engineer | Junior Data Engineer | Data Platform Engineer | Big Data Engineer | ETL Developer | Analytics Engineer | Cloud Data Engineer | Data Warehouse Engineer | PySpark Developer | Data Engineering Developer