Data Engineer

Novacruitix; Alabama; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Novacruitix is seeking a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data solutions. You will work with large datasets from diverse sources and collaborate with analysts and data scientists to drive analytics and insights.

The role emphasizes building robust data workflows, data quality checks, and performance tuning, with onsite/hybrid/remote options based on client needs.

Qualifications

• 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.

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.

Skills

Python

SQL

ETL/ELT

Spark/PySpark

Data Warehousing

Cloud platforms

Databases (SQL Server, PostgreSQL,Snow

Databricks/Airflow/Kafka

Git/CI-CD

Communication/Problem-solving

Education

Bachelor's degree in CS/IT/Engineering

Tools

Databricks

Airflow

Kafka

Job description

Data Engineer

Experience: 2 5 Years
Location: USA
Employment Type: Contract / Full-Time
Work 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 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.

Experience Required: 2 5 Years