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# Data Engineer

- **Company:** Nova cruitix LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Databases, Continuous Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Standard Sql, DataOps, Snowflake, Apache Spark, Git, Pyspark, Information Technology, Apache Kafka, Data Pipelines, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-al--cf81807c-1bb6-4025-a9bf-eb1d8b6a8773

## About the Role

* Strong experience with Python and SQL
 * ETL / ELT development
 * Apache Spark / PySpark
 * Data Warehousing
 * Cloud platforms: AWS, Azure, or GCP
 * Databases such as SQL Server, PostgreSQL, Snowflake, or similar
 * Experience with tools such as Databricks, Airflow, or Kafka is preferred
 * Git and basic CI/CD knowledge
 * Good communication and problem-solving skills

Qualification

Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred.

## Description

Data Engineer Experience: 2 5 YearsLocation: USAEmployment Type: Contract / Full-TimeWork Mode: Onsite / Hybrid / Remote based on client requirement Job Summary We are looking for a Data Engineer with 2 5 years of experience in building and maintaining scalable data pipelines, ETL workflows, and cloud-based data solutions. Key Responsibilities Design, develop, and maintain ETL/ELT data pipelines.Work with large datasets from multiple sources.Build and optimize data workflows for analytics and reporting.Perform data transformation, validation, and quality checks.Work closely with Data Analysts, Data Scientists, and application teams.Troubleshoot and improve data pipeline performance.Maintain technical documentation and follow data engineering best practices. Required Skills Strong experience with Python and SQLETL / ELT developmentApache Spark / PySparkData WarehousingCloud platforms: AWS, Azure, or GCPDatabases such as SQL Server, PostgreSQL, Snowflake, or similarExperience with tools such as Databricks, Airflow, or Kafka is preferredGit and basic CI/CD knowledgeGood communication and problem-solving skills Qualification Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred.Experience Required: 2 5 Years