Lead AWS Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 2 Year(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Analytics
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Cloud Computing
Data Analysis
Data Engineering
Data Governance
Data Modeling
Data Processing
Data Quality
Data Warehouse
ELT
Electronic Health Record (EHR)
Extract, Transform, Load
Finance
Good Clinical Practice
Google Cloud Platform
Health Care
Leadership
Machine Learning (ML)
Management
Mentorship
Microsoft Azure
PySpark
Python
Real-time
Reporting
SQL
Scala
Scalability
Snow Flake Schema
Step-Functions
Use Cases

Job Details

Job Title: Lead AWS Data Engineer

Location: Bethesda, MD(Hybrid)

Experience: 12+ years

Note: Only on W2

 

Job Summary

We are seeking a Lead AWS Data Engineer to design, build, and lead scalable data platforms on AWS. The ideal candidate will drive architectural decisions, mentor data engineers, and ensure reliable, secure, and high-performance data pipelines that support analytics, reporting, and machine learning use cases.

Key Responsibilities

Technical Leadership

·        Lead the design and implementation of cloud-native data architectures on AWS

·        Define data engineering best practices, standards, and governance

·        Review designs, code, and pipelines to ensure scalability, security, and performance

·        Mentor and guide junior and senior data engineers

Data Engineering & Architecture

·        Design and manage data lakes and data warehouses using:

o   Amazon S3, AWS Glue, Athena, Redshift

·        Build and optimize ETL/ELT pipelines using:

o   AWS Glue, Lambda, Step Functions, EMR, Airflow

·        Implement real-time and batch data processing using:

o   Kinesis, MSK, Kafka, Spark

·        Ensure data quality, lineage, and observability

 

Required Skills & Qualifications

Core Skills

·        Strong expertise in AWS data services:

o   S3, Glue, Redshift, Athena, EMR, Lambda, Kinesis

·        Advanced SQL and data modeling (star/snowflake schemas)

·        Programming experience in Python, PySpark, or Scala

·        Experience with big data frameworks (Apache Spark, Hadoop)

 

Preferred Qualifications

·        AWS Certifications (Solutions Architect, Data Analytics – Specialty)

·        Experience with Lakehouse architectures (Delta Lake, Iceberg, Hudi)

·        Exposure to machine learning pipelines on AWS (SageMaker)

·        Experience in regulated industries (finance, healthcare, telecom)

 

Nice to Have

·        Multi-cloud experience (Azure / Google Cloud Platform)

·        Experience with data governance tools

·        Experience building self-service analytics platforms

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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