Data Engineer, Production Support - Spark/Hadoop

Acestack; Charlotte (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

Acestack is seeking a Data Engineer for production support in Charlotte, NC. The role requires 5–10 years in data/ software engineering and hands‑on experience with ETL/ELT pipelines, distributed data processing, and cloud data platforms.

You will work on data flows, data quality, governance, and support for release cycles, with strong Python/SQL skills and familiarity with Hadoop ecosystem tools.

Qualifications

• 5–10 years of data engineering or related experience.
• Strong Python and SQL skills for advanced data transformations.
• Hands‑on experience designing and building ETL/ELT pipelines and data ingestion processes.
• Experience with distributed data tools like Spark, Databricks, or Hadoop ecosystems.
• Experience with relational and cloud data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
• Understanding of data modeling, metadata, data quality controls, and data security.

Responsibilities

• 5–10 years of experience in Data Engineering, Software Engineering, or related field.
• 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 datasets in relational and cloud platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
• Knowledge of CI/CD pipelines, Git, and automated deployment practices.

Skills

PySpark

Hive

Python

SQL

Hadoop

Unix

Agile

Base support

Tools

Databricks

Teradata

Snowflake

SQL Server

Azure/AWS/GCP

Job description

Acestack is seeking a Data Engineer for production support in Charlotte, NC. The role requires 5–10 years in data/ software engineering and hands‑on experience with ETL/ELT pipelines, distributed data processing, and cloud data platforms.

You will work on data flows, data quality, governance, and support for release cycles, with strong Python/SQL skills and familiarity with Hadoop ecosystem tools.