Job Title: Data Engineer

Company Name: Tech Scalerz

Job Url: https://www.simplyhired.com/job/PRXRZ5UzLLylKvnNlPRTniybgg-0o-wukApH54sohpt8lJeGmB5Avw

Job Description: Data Engineer (AWS / Azure / GCP | Python | PySpark | ETL Pipelines)
Tech Scalerz
Remote

Job Details
Permanent | Full-time | Contract
$60 - $70 an hour
2 hours ago
Qualifications
Data model design
Data transformation pipeline development
Data lake
Continuous Delivery (CD) implementation
Cloud data warehouses
Azure Data Lake
Data modeling projects
Infrastructure as Code (IaC)
DevOps
Amazon Simple Notification Service (SNS)
Spark
Data reporting
Git
Scalable systems
SQL
Data Architecture Design (Architecture design skills)
Spark implementation
AWS Glue
Azure Data Factory
Data quality monitoring
Cloud Native Design
Scalability
Developing and maintaining backend systems
S3
Data validation
Redshift
Distributed computing
Real-time data processing implementation
Senior level
BigQuery
Python
Database software proficiency
AWS Lambda
Full Job Description
Location:* Remote (U.S.)*
Employment Type:* Contract / Full-Time*

Job Overview

We are seeking a Data Engineer with strong experience in Python, PySpark, and cloud-based data platforms (AWS, Azure, or GCP) to design, build, and maintain scalable data pipelines and ETL solutions.

This role focuses on developing cloud-native data platforms that support analytics, reporting, and data-driven applications.

Note: Experience with any one cloud platform (AWS, Azure, or GCP) is sufficient. Experience across multiple platforms is a plus.Alternative Titles (for search visibility)

This role may also be relevant for candidates with experience as a Big Data Engineer, ETL Developer, Cloud Data Engineer, Data Platform Engineer, or Spark Engineer.

The candidate should not require sponsorship to work in the U.S.A - now or in the future.

Key Responsibilities

Data Pipeline Development

Design and build scalable ETL pipelines using Python and PySpark
Process large datasets using distributed data processing frameworks
Cloud & Data Architecture

Develop solutions using cloud-native data services, including:
AWS: Glue, Redshift, Lambda, SNS/SQS, Step Functions
Azure: Data Factory, Synapse Analytics, Event Hub
GCP: Dataflow, BigQuery, Pub/Sub
Implement event-driven and serverless architectures
Data Modeling & Querying

Design and optimize data models in cloud data warehouses such as:
Redshift (AWS)
Synapse (Azure)
BigQuery (GCP)
Write efficient SQL for data transformation, validation, and reporting
Data Quality & Operations

Implement data quality checks, monitoring, and alerting
Handle pipeline failures, logging, and operational support
Collaboration & DevOps

Collaborate with data analysts, engineers, and stakeholders
Contribute to CI/CD pipelines and infrastructure-as-code
Maintain documentation for reproducible deployments
Required Skills

Strong programming experience in Python and PySpark
Hands-on experience with at least one cloud platform: AWS, Azure, or GCP
Experience with cloud-native data services (examples across platforms listed above)
Strong SQL skills and experience with data modeling and query optimization
Experience building and maintaining ETL pipelines and data workflows
Familiarity with data quality frameworks, monitoring, and alerting
Experience with Git and CI/CD workflows
Nice to Have

Experience working across multiple cloud platforms (AWS, Azure, GCP)
Experience with data lake architectures (S3, ADLS, GCS)
Exposure to Spark optimization and distributed systems
Experience with streaming data pipelines
Important (Candidate Fit)

This role focuses on backend data engineering and large-scale data pipelines.

Candidates whose experience is primarily in the following areas may not be a good fit:

Business Intelligence (BI) or reporting-only roles
Tableau / Power BI development without backend data engineering
Pure data analysis without ETL or pipeline development experience
Keywords

Data Engineer, AWS, Azure, GCP, PySpark, ETL Developer, Big Data Engineer, Data Pipelines, Redshift, BigQuery, Synapse, Cloud Data Engineer, Spark

Suggested Pay Range: $60 – $70 / hour

Pay: $60.00 - $70.00 per hour

Work Location: Remote