Data Engineer - Production Pipelines & Data Quality (Onsite)

Realign LLC; Charlotte (NC); On-site; USD 88,000 - 108,000; Full time

Job summary

Realign LLC is seeking an on-site Data Engineering PROD support professional in Charlotte, NC to manage data pipelines, ensure data quality, and resolve production issues across multiple tech stacks. The role emphasizes security, governance, and observability while collaborating with analytics teams.

The candidate should bring 5+ years in data/ software engineering, strong PySpark, SQL, Python, and experience with Spark ecosystems and cloud platforms.

Qualifications

• 5 to 10 years in Data Engineering, Software Engineering, or a related technical discipline
• Strong proficiency in PySpark, Python, SQL, and distributed data processing tools
• Hands-on experience building ETL/ELT pipelines and data ingestion processes

Responsibilities

• Implement efficient data flows and enforce data management standards
• Enhance data quality while supporting continuous delivery and release cycles
• Perform root-cause analysis for production issues across multiple technology stacks
• Troubleshoot and fix performance issues
• Support Dev work related to App Gov and other mandates
• Analyze and resolve pipeline issues, performance bottlenecks, and data discrepancies
• Adhere to enterprise data governance, compliance, and operational risk frameworks
• Contribute to monitoring and observability for data pipelines (logs, metrics, health checks)
• Support analytical workloads, BI tools, or data science teams
• Apply data security practices including encryption, masking, and PII handling

Skills

PySpark

Hive

Python

SQL

Hadoop

Apache Spark

Databricks

Teradata

Snowflake

SQL Server

Azure

AWS

GCP

Git

CI/CD

App Gov

Unix

ETL/ELT

Tools

Databricks

Teradata

Snowflake

Azure

AWS

GCP

Git

CI/CD

Job description

Realign LLC is seeking an on-site Data Engineering PROD support professional in Charlotte, NC to manage data pipelines, ensure data quality, and resolve production issues across multiple tech stacks. The role emphasizes security, governance, and observability while collaborating with analytics teams.

The candidate should bring 5+ years in data/ software engineering, strong PySpark, SQL, Python, and experience with Spark ecosystems and cloud platforms.