Apply Now

DataOps Engineer | Data Platform Engineer | AWS Data Engineer | Data Reliability Engineer | Data Infrastructure Engineer

Erie, PA, US • Posted 1 day ago • Updated 1 day ago

Contract W2

1 Year

No Travel Required

On-site

$45 - $53/hr

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Amazon EC2
Amazon S3
Amazon Web Services
Automated Testing
Artificial Intelligence
Business Intelligence
Cloud Computing
Cloud Security
Continuous Delivery
Data Engineering
Continuous Integration
Data Lake
Extract, Transform, Load
ELT
Incident Management
Insurance
Management
Performance Tuning
Root Cause Analysis
Orchestration
SLA
PySpark
Scheduling
XML

Summary

Position: DataOps Engineer
Location: Erie, PA
Work Arrangement: Day 1 Onsite
Duration: Long-Term Contract

Job Summary:

Our client is looking for a highly skilled DataOps Engineer to build, automate, monitor, and continuously improve enterprise data platforms. The role involves working closely with Data Engineering, BI, Cloud Engineering, and other technology teams to ensure reliable, secure, and efficient data operations.

Key Responsibilities:

Build, operate, automate, and monitor enterprise data platforms.
Design and optimize ETL/ELT data pipelines, including orchestration, scheduling, and CI/CD.
Implement monitoring, logging, health checks, SLA/SLO tracking, and data observability.
Troubleshoot production issues, lead incident response, and perform Root Cause Analysis (RCA).
Manage releases, deployments, automated testing, rollbacks, and performance tuning.
Develop reusable data engineering frameworks, patterns, and standards.
Work with managed service providers and ensure delivery against contractual SLAs.
Partner with Data Engineering and BI teams to improve data product reliability and quality.
Monitor and optimize AWS cloud costs using FinOps best practices.
Apply security standards across data pipelines and AWS infrastructure.

Required Technical Skills:

Strong hands-on experience with AWS
AWS EC2, EKS, S3, Glue, Lambda
Python, PySpark, and SQL
ETL/ELT and data pipeline automation
Terraform and/or AWS CloudFormation
CI/CD
DataOps and Data Platform operations
Medallion Architecture / Data Lake / Lakehouse
Monitoring, observability, logging, incident management, and RCA
Strong understanding of XML processing/handling
AWS IAM and cloud security best practices

Preferred:

P&C Insurance industry experience
Databricks experience
FinOps / AWS cost optimization
Experience developing reusable data engineering frameworks
Experience with AI-assisted coding tools such as Codex

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.

Dice Id: 91175902
Position Id: 9079918
Posted 1 day ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Sr.Data Engineer -- PYspark,SQL

Remote or Erie, Pennsylvania

•

Today

Location: Erie, PA (hybrid) OR Remote Employment Type: Contract Experience: 10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation cloud data platforms. The ideal candidate will have experience with large-scale data infrastructure and modern data engineering technologies. Key Responsibilities Design and develop scalable AWS cloud data platforms. Build and optimize ETL/ELT

Easy Apply

Contract, Third Party

$65

Full Stack Data Engineer

Remote or Hybrid in Erie, Pennsylvania

•

Today

Senior Full-Stack Data EngineerJob OverviewWe are seeking an experienced Senior Full-Stack Data Engineer with 1015 years of hands-on experience in data engineering, data architecture, and cloud-native data platforms. The ideal candidate will have strong expertise in AWS, SQL, Python, PySpark, ETL/ELT, and modern data technologies. This role will be responsible for designing, developing, optimizing, and supporting next-generation data platforms at scale. The candidate will also provide technical

Easy Apply

Contract, Third Party

70 - 75

AWS Data Engineer

Remote

•

7d ago

Job Title: AWS Data Engineer Location: Remote Job Type: Contract Job Description: We are looking for an experienced AWS Data Engineer with strong hands-on expertise in AWS Glue, Amazon Redshift, S3, Python, PySpark, and SQL to design, develop, and maintain scalable cloud data pipelines and enterprise data warehouse solutions. Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using AWS Glue, Python, PySpark, and SQL. Develop AWS Glue Jobs, Crawlers, Workflows, and Dat

Easy Apply

Contract

65 - 70

AWS Data Engineer

Remote

•

9d ago

Job Title: AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000.00 Work Model: Remote offsite Security Clearance: with the ability to obtain a public trust System One is looking for a strong AWS Data Engineer for a remote contract-to-hire position. While this position is remote, preference is given to those who are located in the Washington, DC Metro in case the team needs to meet in person. Responsibilities Build and operate data pipelines (batch

Easy Apply

Contract

$170000

Search all similar jobs

More jobs at MetaRPO in Erie, PA