Data Engineer -5
Big Data
Bigdata
Business Systems
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Databricks
Dataops
Desktop Support
DevOps
End User Support
Engineer
ERP
ETL
Financial Software
Hadoop
Hr Technology
Informatica
Information Technology (IT)
MongoDB
Oracle
Programming
Programming Language
Programming Languages
Pyspark
Snowflake
Software Development
Software Engineering
Spark
SQL
Technical Support
Job Description
Realign LLC is hiring for an on-site Data Engineering PROD support role in Charlotte, NC.
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
Requirements
- Experience: 5 to 10 years in Data Engineering, Software Engineering, or a related technical discipline
- Primary skills: PySpark, Hive, Python, SQL, Hadoop
- Python and SQL: strong proficiency for advanced data transformations
- Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs
- Practical experience with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems
- Experience building and managing datasets in relational and/or cloud-based platforms including Teradata, Snowflake, SQL Server, Azure, AWS, and GCP
- Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management
- Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development
- Knowledge of CI/CD pipelines, version control with Git, and automated deployment practices
- Strong communication skills and ability to collaborate across engineering, product, and business teams
- Advanced experience with performance tuning of SQL, Spark, or distributed data workflows
- Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies
- Prior experience in a financial institution or another regulated industry
- Secondary: Unix, Agile, Base support
Technologies
- PySpark, Hive, Python, SQL, Hadoop
- Unix
- ETL, ELT
- Apache Spark, Databricks
- Teradata, Snowflake, SQL Server
- Azure, AWS, GCP
- Git, CI/CD
- MongoDB, Oracle
- App Gov
Compensation and Location
- Location: Charlotte, NC (onsite)
- Salary: USD 98,000 per year
- Minimum experience: 5 years
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