Sr. Data Engineer (Python, Pyspark, AWS)

Randstad Digital Americas

Charlotte (NC)

Hybrid

USD 83.000 - 90.000

Vollzeit

vor 9 Stunden
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Benefits dieser Stelle

Hybrid schedule (2 days/wk)
Medical, dental, vision benefits
401K plan

Zusammenfassung

Randstad Digital Americas is seeking a Senior Data Engineer in Charlotte, NC on a contract basis. The role focuses on evolving data architecture and delivering high-performance technical solutions using PySpark and Python.

Responsibilities include building features, transforming data, and collaborating with cross-functional teams. The candidate should have a Bachelor's degree and strong OO programming skills, with AWS experience preferred.

Qualifikationen

  • Bachelor's degree in a relevant field.
  • Proven experience as a Senior Data Engineer or similar role.
  • Advanced proficiency in Python, PySpark, and OO programming.
  • Strong problem-solving and troubleshooting abilities.

Aufgaben

  • Design, develop and implement new data framework features using PySpark and Python.
  • Write efficient PySpark scripts for complex data transformations.
  • Apply Python and OO concepts to build durable, enterprise-grade solutions.
  • Collaborate with cross-functional teams to translate business requirements into technical deliverables.
  • Perform rigorous testing and debugging to ensure high-quality output and performance.
  • Document programming tasks and architectural decisions for future maintenance.

Kenntnisse

PySpark
Python
OO Programming
AWS
Data Transformation
Independent Work

Ausbildung

Bachelor's degree

Jobbeschreibung

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.

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.

Skills
Experience with AWS,business logic,data transformation,Object-oriented programming,Object-oriented,PySpark,Python,hands-on coding,Test and debug,software issues,troubleshoot,Self-motivated,able to work independently,minimal supervision
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 HRsupport@randstadusa.com.
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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