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# Data Engineer

- **Company:** Raas Infotek LLC
- **Location:** Manor, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Business Intelligence Development, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Identity and Access Management, Python (Programming Language), Meta-Data Management, Scrum Methodology, Query Optimization, Power BI, SQL Databases, Data Streaming, Tableau (Software), Enterprise Data Management, Data Ingestion, Sql Optimization, Snowflake, Apache Spark, Git, Pyspark, Infrastructure Automation Frameworks, Information Technology, Star Schema, Apache Kafka, Cloudwatch, Terraform, Data Pipelines
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/391a1d32-89c5-4067-9b84-76d005eb3b80

## About the Role

* 10+ years of Data Engineering experience
 * Strong Python programming
 * Advanced SQL and query optimization
 * Snowflake (Data Warehouse, Snowpipe, Streams & Tasks)
 * AWS (S3, Glue, Lambda, Redshift, CloudWatch)
 * Apache Airflow
 * ETL/ELT pipeline development
 * Data Modeling (Star & Snowflake Schema)
 * Git, CI/CD, Agile/Scrum

Preferred Skills

 * dbt for data transformation
 * PySpark / Spark
 * Kafka or other streaming platforms
 * Terraform
 * Tableau or Power BI integration
 * Healthcare, Banking, or Retail domain experience, Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

## Description

We are seeking a highly skilled Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining scalable data pipelines and enterprise data platforms. The ideal candidate will have strong expertise in Python, SQL, Snowflake, AWS, ETL/ELT, and Apache Airflow, with experience building modern cloud-based data solutions., * Design and develop scalable ETL/ELT data pipelines using Python and SQL.

 * Build and optimize data models in Snowflake for analytics and reporting.
 * Develop data ingestion frameworks from multiple sources (APIs, databases, files, streaming).
 * Implement orchestration workflows using Apache Airflow.
 * Work with AWS services including S3, Glue, Lambda, Redshift, and IAM.
 * Optimize SQL queries and improve data pipeline performance.
 * Ensure data quality, governance, security, and metadata management.
 * Collaborate with data analysts, BI developers, architects, and business stakeholders.
 * Support CI/CD deployments and infrastructure automation for data engineering projects.
 * Mentor junior engineers and participate in architecture discussions.


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