

MeeBoss
AWS Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Lead Data Engineer in Newark City, NJ (Hybrid) with a contract length of "unknown". Pay rate is "unknown". Candidates must have 15+ years of experience, extensive AWS data services knowledge, and leadership skills. H1B only.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
July 13, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Newark, NJ
-
π§ - Skills detailed
#Data Governance #SQL (Structured Query Language) #RDS (Amazon Relational Database Service) #Data Ingestion #Cloud #AWS (Amazon Web Services) #Computer Science #S3 (Amazon Simple Storage Service) #DevOps #Scala #Shell Scripting #"ETL (Extract #Transform #Load)" #Data Engineering #Data Framework #Terraform #Compliance #Programming #Big Data #Redshift #Data Modeling #Data Warehouse #Leadership #Athena #Scripting #Spark (Apache Spark) #Data Lake #Python #API (Application Programming Interface) #Security #Lambda (AWS Lambda)
Role description
Role : AWS Lead Data Engineer
Location : Newark City, NJ (Hybrid) (Locals or Nearby who can travel)
NEED Only H1B Candidates
Exp : 15+
Inperson F2F interview is required at Newark City, NJ (Hybrid)
Job Summary: We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Candidate would be required to work from NJ office as part of this role.
Required Qualifications
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
10+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.). Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS. Proven experience with ETL/ELT processes, data modeling, and big data frameworks. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform). Excellent problem-solving, communication, and organizational skills.
Preferred Qualifications
AWS Solutions Architect or AWS Data Engineer certification. Experience with real-time streaming technologies. Knowledge of data governance, compliance, and security best practices. Familiarity with Lakehouse architecture and modern data platforms.
Role : AWS Lead Data Engineer
Location : Newark City, NJ (Hybrid) (Locals or Nearby who can travel)
NEED Only H1B Candidates
Exp : 15+
Inperson F2F interview is required at Newark City, NJ (Hybrid)
Job Summary: We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Candidate would be required to work from NJ office as part of this role.
Required Qualifications
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
10+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.). Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS. Proven experience with ETL/ELT processes, data modeling, and big data frameworks. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform). Excellent problem-solving, communication, and organizational skills.
Preferred Qualifications
AWS Solutions Architect or AWS Data Engineer certification. Experience with real-time streaming technologies. Knowledge of data governance, compliance, and security best practices. Familiarity with Lakehouse architecture and modern data platforms.






