Big Data Engineer

Can consider 2 best profile.

Note: This is only W2 role and cannot take H1B transfer candidates at this time. This is remote EST/CST timezone role but looking for candidates who are currently local to one of Sapient office locations so that they can be onsite on hybrid basis if they convert full time down the line and Sapient has offices in San Francisco CA or Arlington VA or Westminster CO or Chicago IL or Boston MA or Birmingham MI or Houston TX or Atlanta GA or Miami FL or New York NY or Minneapolis MN or Los Angeles CA or Seattle WA or Dallas/Irving TX or Irvine CA.

Important: Please make sure you have following details when you submit candidates:

1. Candidates word format resume with clear Education details that includes year of graduation no longer than 4 pages and locations ( if done in Offshore put Offshore as location)
2. LinkedIn profile that matches to candidate resume
3. Candidate is currently residing close to one of Sapient office locations
4. Please include 2 professional references ( only Leads or Managers who can be verified on LinkedIn)
5. Full Legal Name as it appears on their Passport (First Middle and Last):
6. Visa Status:
7. W2 Rate:
8. Availability:

Req # to submit to:

Job Title: Big Data Engineer
Client: (Sapient Implementation) UnitedHealth Group
Visa: USC GC GC-EAD & HE-EAD (EADs must have at least 12 months remaining before expiration.)

Rate: 50-57/hr on W2

Duration: 6 months

Location: Remote (EST/CST hour)

Interview Process: 1-2 internal video interviews & 1 client round

• Build scalable data pipelines for AI use cases
• Enable feature engineering and data ingestion
• Leverage Big Data technologies and AWS to support data readiness
• Prepare high-quality production-ready datasets for analytics and AI/ML initiatives
• Primary Focus: Data Readiness

• Big Data (Spark Hadoop Kafka)
• AWS (S3 EMR Glue Redshift Lambda)
• Scalable Data Pipeline Development
• ETL/ELT Development
• Data Ingestion & Transformation
• Python Java or Scala
• Feature Engineering

Big Data Engineer

We are seeking a Big Data Engineer to design and build scalable data platforms that support advanced analytics and AI-driven use cases. This role focuses on data readiness enabling efficient data ingestion transformation and feature engineering to power downstream applications (AI/ML exposure is a plus but not required).

Your Impact

• Build and maintain scalable high-performance data pipelines to support large-scale data processing and analytics
• Enable data ingestion and transformation frameworks for structured and unstructured data across multiple sources
• Support feature engineering pipelines to prepare high-quality datasets for analytics and AI/ML use cases
• Ensure data quality reliability and availability across the data lifecycle
• Collaborate with data scientists analysts and engineering teams to ensure data is production-ready and accessible
• Optimize data workflows for performance scalability and cost-efficiency in cloud environments
• Contribute to the design of modern data architectures in AWS

Skills & Experience

• Strong experience in Big Data technologies (e.g. Spark Hadoop Kafka or similar)
• Hands-on experience with AWS data ecosystem (e.g. S3 EMR Glue Redshift Lambda)
• Proficient in building ETL/ELT pipelines and data ingestion frameworks
• Experience with data modeling schema design and large-scale data processing
• Strong programming skills in Python Java or Scala
• Familiarity with feature engineering workflows and data preparation for analytics/AI
• Experience with workflow orchestration tools (e.g. Airflow) is a plus
• Understanding of data governance quality and pipeline monitoring