Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Software Engineer (Contingent Resource)
Location: Charlotte, NC
About The Role
In this contingent resource assignment, you will consult on complex, large-scale Software Engineering initiatives with broad organizational impact. You will contribute to the analysis and resolution of multifaceted engineering challenges, partner closely with stakeholders, and help deliver scalable, high-quality data and software solutions.
What You'll Do
- Consult on complex Software Engineering initiatives involving broad impact and large-scale planning.
- Review, analyze, and solve multi-faceted, large-scale, or long-term engineering challenges that require evaluation of multiple technical and non-technical factors, including novel or unprecedented conditions.
- Contribute to the resolution of complex engineering problems by applying a strong understanding of software development practices, policies, procedures, and compliance requirements.
- Design, build, and optimize data pipelines and ETL processes to support analytics and downstream systems.
- Collaborate strategically with client personnel and cross-functional partners to gather requirements, provide guidance, and deliver solutions that meet business objectives.
- Participate in Agile development processes, including backlog grooming, sprint planning, and daily stand-ups.
- Support performance tuning, automation, and reliability improvements across systems and reporting workflows.
Minimum Qualifications
- 5+ years of experience in Software Engineering, or equivalent practical experience gained through work, consulting, training, military service, or education.
- Experience in Data Engineering.
- Proficiency in SQL and PL/SQL, with hands-on database development experience.
- Experience with at least one general-purpose programming language such as Python or Java.
- Experience with ETL tools and data pipeline frameworks.
- Experience working with Parquet files and data stored in Amazon S3 or similar object storage.
- Familiarity with both relational and NoSQL databases.
- Experience with performance tuning and automation.
- Experience working in Agile development environments.
Preferred Qualifications
- Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Experience designing and supporting large-scale data platforms and pipelines.
- Experience applying Artificial Intelligence or machine learning concepts in production or data-driven environments.
- Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (Google Cloud Platform), or Microsoft Azure.
- Strong collaboration and communication skills, with experience consulting or partnering directly with clients or stakeholders.
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Contact:
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