Cymansys Solutions LLC
DataOps Engineer---W2 Requirement
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DataOps Engineer in Erie, PA, with a long-term contract and a focus on AWS, ETL/ELT automation, and Python. Key skills include Infrastructure as Code, data pipeline management, and strong FinOps awareness.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Erie, PA
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #SQL (Structured Query Language) #Automation #DataOps #AI (Artificial Intelligence) #Data Pipeline #Spark (Apache Spark) #PySpark #EC2 #Observability #Security #Terraform #Automated Testing #Lambda (AWS Lambda) #IAM (Identity and Access Management) #Deployment #Data Engineering #Data Extraction #Cloud #Python #S3 (Amazon Simple Storage Service) #Datasets #XML (eXtensible Markup Language) #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Infrastructure as Code (IaC)
Role description
Role: DataOps Engineer
Location: Erie, PA (Day 1 Complete Onsite)
Duration: Long Term
Skills:
• DataOps builds and manages the automated systems, pipelines, and tools that move and test data inside a company.
• Operate, automate, monitor, and continuously improve core data platforms to reduce waste, improve data flow, and ensure maximum uptime for structured datasets and analytics.
• Design and optimize robust data pipeline automation for ETL/ELT workloads, including orchestration, scheduling, and CI/CD to streamline data extraction and processing.
• Implement deep observability, manage logs, automate health checks, and rigorously track SLAs/SLOs to increase data reliability.
• Lead rapid incident response, stakeholder communications, and Root Cause Analysis (RCA) to continuously identify process gaps and correct them.
• Manage the end-to-end release lifecycle, executing automated testing (unit, performance, and end-to-end tests), smooth deployments, rollbacks, and performance tuning.
• Partner with managed service providers to test and adopt new solutions that adhere to DataOps best practices and ensure contract SLAs are met.
• Translate technical metrics into clear executive reports and facilitate collaboration with data and BI teams to enhance the quality of data products.
• Strong hands-on experience with AWS, Medallion architecture, and modern DataOps practices. Deep understanding of complex XML handling.
• Deep expertise in AWS Infrastructure (EC2, EKS, S3, Glue, Lambda), IAM, and ensuring stringent security standards are applied across all data pipelines.
• Proficient in Infrastructure as Code using Terraform and AWS CloudFormation.
• Design data engineering assets, develop reusable frameworks and patterns, enforce standards, and leverage AI-assisted coding tools (Codex).
• Strong FinOps awareness to monitor, control, and optimize cloud costs across large data environments.
• Highly proficient in Python, PySpark, and SQL.
Best Regards,
Rajesh(Ken)
Cymansys Solutions LLC
Email: ken@cymansys.com
Role: DataOps Engineer
Location: Erie, PA (Day 1 Complete Onsite)
Duration: Long Term
Skills:
• DataOps builds and manages the automated systems, pipelines, and tools that move and test data inside a company.
• Operate, automate, monitor, and continuously improve core data platforms to reduce waste, improve data flow, and ensure maximum uptime for structured datasets and analytics.
• Design and optimize robust data pipeline automation for ETL/ELT workloads, including orchestration, scheduling, and CI/CD to streamline data extraction and processing.
• Implement deep observability, manage logs, automate health checks, and rigorously track SLAs/SLOs to increase data reliability.
• Lead rapid incident response, stakeholder communications, and Root Cause Analysis (RCA) to continuously identify process gaps and correct them.
• Manage the end-to-end release lifecycle, executing automated testing (unit, performance, and end-to-end tests), smooth deployments, rollbacks, and performance tuning.
• Partner with managed service providers to test and adopt new solutions that adhere to DataOps best practices and ensure contract SLAs are met.
• Translate technical metrics into clear executive reports and facilitate collaboration with data and BI teams to enhance the quality of data products.
• Strong hands-on experience with AWS, Medallion architecture, and modern DataOps practices. Deep understanding of complex XML handling.
• Deep expertise in AWS Infrastructure (EC2, EKS, S3, Glue, Lambda), IAM, and ensuring stringent security standards are applied across all data pipelines.
• Proficient in Infrastructure as Code using Terraform and AWS CloudFormation.
• Design data engineering assets, develop reusable frameworks and patterns, enforce standards, and leverage AI-assisted coding tools (Codex).
• Strong FinOps awareness to monitor, control, and optimize cloud costs across large data environments.
• Highly proficient in Python, PySpark, and SQL.
Best Regards,
Rajesh(Ken)
Cymansys Solutions LLC
Email: ken@cymansys.com
