Sr. Data Engineer/Scientist (W2 Contract Role)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Sr. Data Engineer (W2 Contract) requiring 7+ years of enterprise experience, expertise in SQL, Python, and big data technologies, proficiency with cloud platforms, and familiarity with CI/CD tools. Contract length and pay rate are unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 12, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Python #GCP (Google Cloud Platform) #Azure #Spark (Apache Spark) #Agile #NoSQL #SQL (Structured Query Language) #Data Orchestration #Databases #Data Quality #Version Control #Airflow #Kafka (Apache Kafka) #AWS (Amazon Web Services) #BigQuery #Scrum #Data Engineering #Hadoop #Redshift #Data Science #"ETL (Extract #Transform #Load)" #Synapse #Scala #Big Data #Data Pipeline #NiFi (Apache NiFi) #Security #Cloud
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Kani Solutions, is seeking the following. Apply via Dice today! Job Description: We are seeking experienced Senior Data Engineers who are looking for opportunities to market their resumes for potential client projects under our W2. We work with leading enterprises across industries to place highly skilled data professionals in impactful roles. As a Sr. Data Engineer, you will be responsible for building and optimizing data pipelines, integrating data from multiple sources, and ensuring data reliability, scalability, and security. Projects may vary depending on client needs, and we will align your expertise with the most suitable opportunity in our client network. Responsibilities: β€’ Design, build, and maintain scalable ETL/ELT data pipelines. β€’ Integrate data from structured and unstructured sources into centralized platforms. β€’ Optimize query performance and ensure data quality and governance. β€’ Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions. β€’ Implement and manage cloud-based big data platforms and services. β€’ Monitor and troubleshoot production data workflows. Required Skills & Experience: β€’ 7+ years of experience as a Data Engineer in enterprise environments. β€’ Strong expertise in SQL, Python, and/or Scala. β€’ Hands-on experience with big data technologies (Hadoop, Spark, Hive, Kafka, etc.). β€’ Proficiency with cloud data platforms (AWS Redshift, Google Cloud Platform BigQuery, Azure Synapse, or similar). β€’ Experience with relational and NoSQL databases. β€’ Familiarity with CI/CD pipelines, version control, and data orchestration tools (Airflow, NiFi, etc.). β€’ Strong problem-solving skills and ability to work in Agile/Scrum environments. Employment Type: β€’ W2 only C2C or 1099 not accepted. β€’ We will sponsor and market your resume to our client network. Why Join Us: β€’ Direct marketing to Fortune 500 and mid-sized clients. β€’ Transparent communication β€’ Opportunities across multiple domains and industries. β€’ Competitive pay structure with benefits (for eligible candidates). How to Apply: Please send your updated resume along with your contact details. Our recruitment team will review your profile and reach out to discuss potential opportunities.