5 data engineer aws opportunities in Prosper updated today
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Must be a US Citizen & have a USA Passport Senior Data Engineer Remote Work Primary Responsibilities Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads Build and optimize data processing fr
VytwoA leading data solutions company is seeking a Senior Data Engineer (Remote) to design and maintain data pipelines, optimize data frameworks on cloud platforms like Databricks and Snowflake, and lead data engineering best practices. Candidates should have 7+ years of experience in data engineering, p
A technology company is seeking a Senior Data Engineer to design and maintain scalable data pipelines and frameworks. The position requires extensive experience in data engineering, proficiency in Python and SQL, and familiarity with cloud platforms like Databricks and Snowflake. This remote role in
VytwoA data solutions firm is seeking a Senior Data Engineer to design and maintain scalable data pipelines using Python and SQL. The ideal candidate will have over five years of experience and hands-on knowledge of Databricks or Snowflake. Responsibilities include optimizing data processing frameworks a
Role: Senior Data Engineer Remote Work *Must be a US Citizen Primary Responsibilities: Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads Build and optimize data processing frameworks on cl
The AWS Senior Data Engineer will own the planning, design, and implementation of data structures. This role will be responsible for incorporating all internal and external data sources into a robust, scalable, and comprehensive data model within AWS to support business intelligence and analytics ne
Benefits: Hybrid Long Term Opportunity for advancement Job Title: AWS Data Engineer Location: Dallas, TX (Hybrid – 3 days per week in-office) Interview Process: In-Person Interview Profiles Required: 8–12 Years of Experience Locals & Non-Locals Can Apply Core Skills: Strong AWS Services, Python/
Contract role on W2 H1B Transfer also workable Job Description: Senior Associate will be responsible for the development and delivery of data analytics for the FP&A’s Admin expense and Block Funding capabilities and the enterprise implementation of Strategic Portfolio Management (SPM). This role
Overview The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven so
UnisysJob Description : Develop scripts and tools for automation of system provisioning, deployment, upgrade, and scaling (Python) Create ETLs to take data from various operational systems. Development solutions on Cloud based architecture. Evangelizing key strategic technologies in the areas of public AP
The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions e
Benefits: HYBRID Competitive salary Opportunity for advancement Job Title: Data Quality Engineer Location: Dallas, TX (Hybrid – 3 days onsite) Job Type: Long-term Contract Work Authorization: Open - W2 opportunity Profiles : 5-10yrs Interview Process: In-person (Client interview- Mandatory) Overview
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GDHWe are seeking an experienced AWS Cloud Data Engineer to design and implement innovative data architectures that empower our organization’s insights and decision-making. This is an exciting opportunity to work at the forefront of cloud data engineering, utilizing cutting-edge AWS services and open-s
$25,000 – $39,000/year
Estimation confidence: Low
Estimate based on market data for Prosper. Actual salaries may vary depending on experience, company, and area.
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