Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description: Software Engineer, Data EngineeringLocation: Charlotte, NC
Experience Level: Mid-to-Senior (5+ years)
About the RoleWe are seeking a Software Engineer with strong data engineering expertise to design, build, and optimize scalable data solutions. In this role, you will work on large-scale, complex systems, contributing to high-impact initiatives that require strategic thinking, technical depth, and cross-functional collaboration.
You will analyze and solve challenging engineering problems, develop robust data pipelines, and ensure systems meet performance, reliability, and compliance requirements. This role involves close partnership with stakeholders to deliver high-quality, scalable solutions.
What You'll Do- Design, build, and maintain scalable data pipelines and ETL frameworks.
- Analyze complex technical challenges and deliver efficient, maintainable solutions.
- Collaborate with cross-functional teams to define requirements and deliver data-driven solutions.
- Optimize system performance, including query tuning and automation of reporting processes.
- Contribute to architecture decisions involving large-scale data systems and cloud platforms.
- Participate in Agile development processes, including sprint planning, backlog grooming, and daily standups.
- Ensure adherence to best practices, security standards, and compliance requirements.
- Explore and integrate emerging technologies, including AI/ML, into data solutions.
Minimum Qualifications- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of experience in software engineering or data engineering.
- Experience with SQL, PL/SQL, and relational databases.
- Experience programming in Python or Java.
- Experience building and maintaining ETL pipelines and data workflows.
Preferred Qualifications- Experience working with cloud platforms (AWS, Google Cloud Platform, or Microsoft Azure).
- Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Experience working with structured and semi-structured data formats (e.g., Parquet, S3 storage).
- Knowledge of both relational and NoSQL databases.
- Experience with performance tuning and system optimization.
- Exposure to Artificial Intelligence or Machine Learning concepts.
- Experience working in Agile or Scrum environments.
Key Skills- Data Engineering & Data Pipeline Development
- Database Design & Optimization
- Distributed Systems & Big Data Technologies
- Cloud Computing
- Problem Solving & Analytical Thinking
- Collaboration & Communication
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