Realign LLC is hiring a Data Engineer for an on-site production support role in Charlotte, NC. In this position, you will help keep critical data flows running reliably while improving data quality, performance, and delivery outcomes across multiple technology stacks. The work blends production troubleshooting with engineering initiatives, including development related to App Gov and other mandates.
What you’ll do
- Implement efficient data flows, enforce data management standards, and enhance data quality to support continuous delivery and release cycles.
- Perform root-cause analysis for production issues across multiple stacks including Hadoop, Oracle, and MongoDB.
- Analyze and fix performance issues affecting production data and distributed processing workloads.
- Deliver development work tied to App Gov and other mandates.
- Troubleshoot pipeline issues, performance bottlenecks, and data discrepancies.
- Support production-quality operations by implementing monitoring and observability for data pipelines (logs, metrics, health checks).
- Contribute to automated testing by participating in automated test suites, analyzing test failures, and supporting test-driven development.
- Work within enterprise data governance, compliance, and operational risk frameworks.
What you bring
- 5 to 10 years of experience in Data Engineering, Software Engineering, or a related technical discipline.
- Strong proficiency in Python and SQL 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 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.
- Knowledge of CI/CD pipelines, Git, and automated deployment practices.
- Advanced experience with performance tuning of SQL, Spark, or distributed data workflows.
- Knowledge of data security practices including encryption, masking, and PII handling.
- Experience supporting analytical workloads, BI tools, or data science teams.
- Prior experience in a financial institution or other regulated industry.
- Strong communication skills and the ability to collaborate with engineering, product, and business teams.
Core skills and technologies
Python, SQL, PySpark, Hive, Hadoop, Unix, ETL/ELT, Apache Spark, Databricks, Teradata, Snowflake, SQL Server, Azure, AWS, GCP, Git, CI/CD, MongoDB, Oracle, App Gov.
Location: Charlotte, NC (onsite)
Compensation: USD 98,000 per year
Experience: 5 to 10 years
