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Data Engineer

Softratech LLCCharlotte, NC🇺🇸United StatesPosted 8 Jul 2026

Why This Role Stands Out

This hybrid Data Engineer role offers a fantastic opportunity to design and implement impactful data solutions, driving strategic decisions across the company while advancing your skills in modern cloud platforms and data technologies. You'll thrive here if you're a proactive problem-solver with strong Python, SQL, and cloud experience, eager to collaborate and mentor within a dynamic team environment. Apply now to shape the future of data at Softratech LLC!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

This is a hands-on role for someone who’s comfortable designing and delivering modern data solutions while influencing how we use data across the company.

Required Skills:
5+ years’ experience in data engineering or a similar role.
Strong experience with SQL, Python, and cloud-based platforms like AWS, Google Cloud Platform, or Azure.
Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
Familiarity with modern data ecosystems — e.g. Spark, Databricks, Snowflake, BigQuery or Redshift.
Experience working with CI/CD, version control and testing best practices.
A proactive approach to solving problems and improving systems.
Excellent communication skills — you can translate technical concepts into language anyone can understand.
A passion for data and how it can drive better decisions in media, marketing and beyond.
 
Job responsibilities
Design, build and manage end to end data pipelines and ETL/ELT processes that move data seamlessly across our platforms.
Develop and maintain data models, warehouses and lakes that serve analytics, reporting and machine learning needs.
Collaborate closely with analysts, data scientists and product teams to turn complex problems into elegant engineering solutions.
Build strong data governance and quality frameworks to make sure everything we produce is accurate, consistent and transparent.
Drive improvements in automation, monitoring, performance and scalability.
Contribute to long-term architectural decisions and mentor junior engineers across the team.
Stay curious, explore new tools techniques and technologies that can help us move faster and smarter.

Skills

SQL
AWS
ETL
Machine Learning
Snowflake
Airflow
Azure
BigQuery
Databricks
Google Cloud
Python
Redshift
dbt

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