Overview
On Site
Accepts corp to corp applications
Contract - 6 day((s))
Skills
python
aws
spark
Job Details
Job Title: Data Engineer
Location: Richmond, VA (Onsite No Remote)
Rate: $55/hr on C2
Openings: 10 Positions
Client: Banking Domain
Experience Required: Strong expertise in Python, AWS, and PySpark
Job Description
We are seeking Data Engineers with expertise in Python, AWS, and PySpark to join our client in the Banking Domain. The ideal candidates will design, build, and optimize large-scale data pipelines and work closely with cross-functional teams to support business-critical data initiatives.
Key Responsibilities
Develop, maintain, and optimize scalable data pipelines using PySpark and Python.
Work with AWS cloud services for data storage, processing, and orchestration.
Collaborate with business stakeholders and analysts to understand data requirements.
Implement best practices in data modeling, ETL, and performance tuning.
Ensure data quality, reliability, and security in all workflows.
Troubleshoot and resolve issues in production pipelines.
Required Skills & Qualifications
Proven hands-on experience with Python, AWS (S3, Glue, EMR, Lambda, Redshift, etc.), and PySpark.
Strong background in data engineering, ETL processes, and large-scale distributed systems.
Prior experience in the banking or financial services domain preferred.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities.
Interview Process
In-Person Interview Required at one of the following locations:
McLean, VA
Richmond, VA
Dallas, TX
Location: Richmond, VA (Onsite No Remote)
Rate: $55/hr on C2
Openings: 10 Positions
Client: Banking Domain
Experience Required: Strong expertise in Python, AWS, and PySpark
Job Description
We are seeking Data Engineers with expertise in Python, AWS, and PySpark to join our client in the Banking Domain. The ideal candidates will design, build, and optimize large-scale data pipelines and work closely with cross-functional teams to support business-critical data initiatives.
Key Responsibilities
Develop, maintain, and optimize scalable data pipelines using PySpark and Python.
Work with AWS cloud services for data storage, processing, and orchestration.
Collaborate with business stakeholders and analysts to understand data requirements.
Implement best practices in data modeling, ETL, and performance tuning.
Ensure data quality, reliability, and security in all workflows.
Troubleshoot and resolve issues in production pipelines.
Required Skills & Qualifications
Proven hands-on experience with Python, AWS (S3, Glue, EMR, Lambda, Redshift, etc.), and PySpark.
Strong background in data engineering, ETL processes, and large-scale distributed systems.
Prior experience in the banking or financial services domain preferred.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities.
Interview Process
In-Person Interview Required at one of the following locations:
McLean, VA
Richmond, VA
Dallas, TX
Best Regards,
Afiya m| Recruiter
EXT 115
Cliff Services Inc |
13873 Park Centre Road, Suite 181, Herndon, VA 20171
13873 Park Centre Road, Suite 181, Herndon, VA 20171
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.