Job Description

Salary: $93,000 - 102,000 per year Requirements:

• Proven experience as an Ab Initio Developer in a data engineering context.
• Strong expertise in Python programming.
• Hands-on experience with PySpark (Spark with Python API).
• Good understanding of big data technologies and concepts (Hadoop, Spark, etc.).
• Familiarity with SQL and relational databases.
• Experience in data modeling and schema design.
• Strong analytical skills and attention to detail.
• Excellent communication and collaboration abilities.
• Preferred (but not required): Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of other big data tools and frameworks (e.g., Kafka, Hive).
• Familiarity with orchestration tools like Airflow or Oozie.

• Develop and manage ETL workflows leveraging Ab Initio.
• Collaborate with data analysts and various stakeholders to gather requirements and convert them into efficient data pipelines.
• Implement data processing solutions utilizing Python and PySpark for large-scale data handling tasks.
• Optimize current data workflows for enhanced performance and reliability.
• Execute data validation, cleaning, and transformation tasks.
• Diagnose and resolve data pipeline issues in production settings.
• Document technical specifications and establish best practices for data processing.

• Ab Initio
• Airflow
• API
• AWS
• Azure
• Big Data
• Cloud
• ETL
• GCP
• Hadoop
• Hive
• Kafka
• Python
• PySpark
• SQL
• Spark

More:

We are looking for a talented Ab Initio Developer with strong skills in Python and PySpark to bolster our data engineering team. The chosen candidate will be involved in the design, development, and maintenance of expansive data integration and processing solutions that ensure optimal performance and high data quality. This position is located in Charlotte, NC, and requires onsite presence from the first day, with a hybrid work model thereafter. We offer a dynamic work environment where collaboration and innovation thrive.

last updated 2 week of 2026

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