job summary:
We are seeking a highly skilled Senior Data Engineer to join an innovative technology-driven team. This is an exceptional opportunity to enhance your career within the Data and Analytics industry, where you will play a pivotal role in evolving our data architecture and ensuring the seamless delivery of high-performance technical solutions.
location: Charlotte, North Carolina
job type: Contract
salary: $60 - 65 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Location: Charlotte, North Carolina, 28203, United States Remote: Hybrid 2 days per week Job Type: Contract - 18 months Compensation Range: $60.00 - $65.00 per hour Work Hours: 9am to 5pm
Responsibilities
- Design, develop, and implement new features to the existing data framework using PySpark and Python.
- Write efficient and effective standalone scripts in PySpark to execute complex transformations based on defined business logic.
- Apply expert-level Python and Object-Oriented Programming (OOP) concepts to solve intricate problems and build durable, enterprise-grade solutions.
- Collaborate closely with cross-functional teams to translate business requirements into technical deliverables that support organizational objectives.
- Perform rigorous testing and debugging of code to ensure high-quality output and system performance.
- Document programming tasks, procedures, and architectural decisions to facilitate future maintenance and troubleshooting.
Qualifications - Bachelor's degree in a relevant field.
- Proven professional experience as a Senior Data Engineer or in a similar technical capacity.
- Advanced proficiency in Python, PySpark, and Object-Oriented programming concepts.
- Demonstrated ability in complex problem-solving and troubleshooting software issues.
- Strong written and verbal communication skills.
- Self-motivated with the ability to operate effectively with minimal supervision.
- Experience with AWS (preferred).
- Familiarity with Gen AI, Prompt Engineering, MCPs, and Agentic AI (desirable).
- Ability to complete the required professional assessment during the hiring process.
qualifications:
Bachelor's degree in a relevant field.
Proven professional experience as a Senior Data Engineer or in a similar technical capacity.
Advanced proficiency in Python, PySpark, and Object-Oriented programming concepts.
Demonstrated ability in complex problem-solving and troubleshooting software issues.
Strong written and verbal communication skills.
Self-motivated with the ability to operate effectively with minimal supervision.
Experience with AWS (preferred).
Familiarity with Gen AI, Prompt Engineering, MCPs, and Agentic AI (desirable).
Ability to complete the required professional assessment during the hiring process.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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