Data Engineer — Production Pipelines & Data Quality (Charlotte)

Realign LLC

Charlotte (NC)

On-site

USD 88,000 - 108,000

Full time

8 days ago
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Job summary

Realign LLC in Charlotte, NC is hiring an onsite Data Engineer for a Production Support focused role. You will help keep critical data flows running smoothly while improving quality, enforcing data management standards, and partnering with teams to resolve production incidents across multiple technology stacks.

You will implement and maintain data flows, including ETL/ELT pipelines, ingestion processes, and distributed data processing jobs.

Qualifications

  • 5 to 10 years of experience in Data Engineering, Software Engineering, or a related technical discipline.
  • Strong proficiency in Python and SQL, including advanced transformations.
  • Hands-on experience building and maintaining distributed ETL/ELT pipelines and ingestion workflows.

Responsibilities

  • Implement and maintain data flows, including ETL/ELT pipelines, ingestion processes, and distributed data processing jobs.
  • Support production issues through root-cause analysis across platforms and systems.
  • Enforce data management standards with a focus on data quality, metadata, and data lineage.
  • Monitor and troubleshoot pipeline health with logs, metrics, and health checks.
  • Perform advanced performance tuning for SQL, Spark, and other distributed data workflows.
  • Contribute to automated test suites and support test-driven development.

Skills

Python
SQL
PySpark
Hive
Databricks
Hadoop
ETL/ELT
Data modeling
Data quality
Data lineage
Unix
Agile
DevOps
Communication

Tools

Autosys
Databricks
Teradata
Snowflake
SQL Server
Azure
AWS
GCP

Job description

Realign LLC in Charlotte, NC is hiring an onsite Data Engineer for a Production Support focused role. You will help keep critical data flows running smoothly while improving quality, enforcing data management standards, and partnering with teams to resolve production incidents across multiple technology stacks.

You will implement and maintain data flows, including ETL/ELT pipelines, ingestion processes, and distributed data processing jobs.

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