E-IT
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 unspecified duration. Requires 7+ years in data engineering, 3+ in leadership, AWS expertise, Python, SQL, ETL/ELT, and preferred AWS certifications.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
July 18, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Newark, NJ
-
π§ - Skills detailed
#S3 (Amazon Simple Storage Service) #Shell Scripting #Spark (Apache Spark) #Compliance #Lambda (AWS Lambda) #Terraform #Data Modeling #Data Engineering #Computer Science #Data Warehouse #Scala #RDS (Amazon Relational Database Service) #Scripting #AWS (Amazon Web Services) #Data Lake #Python #Redshift #"ETL (Extract #Transform #Load)" #Security #Data Governance #Data Ingestion #Cloud #Programming #DevOps #Data Framework #SQL (Structured Query Language) #API (Application Programming Interface) #Leadership #Big Data #Athena
Role description
Role : AWS Lead Data Engineer
Location : Newark City, NJ (Hybrid)
In-person interview is required at Newark City, NJ
Required Qualifications:
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
7+ 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)
In-person interview is required at Newark City, NJ
Required Qualifications:
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
7+ 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.
