> Markdown version of [/jobs/ext/4417622-analyst-data-analytics-engineering](https://www.wearedevelopers.com/jobs/ext/4417622-analyst-data-analytics-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Analyst, Data & Analytics Engineering

- **Company:** Mitchell Martin
- **Location:** Coraopolis, PA, United States
- **Experience:** Expert
- **Salary:** $110,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Cloud Computing, Cloud Database, Databases, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Python (Programming Language), Standard Sql, Scala (Programming Language), SQL Databases, Data Processing, Data Storage Technologies, Information Technology, Data Analytics, Data Management, Data Delivery, Data Pipelines, Programming Languages
- **Published:** October 5, 2026
- **Apply:** https://www.dice.com/job-detail/ed52c2f3-7518-4347-b060-f05262f9f5bd

## About the Role

Bachelor's or Master's degree in Computer Science, Information Technology, or Data Analytics.
Minimum of 5 years of experience in data engineering.
Proficiency in data modeling, ETL processes, and data warehousing concepts.
Strong knowledge of SQL and experience with database management systems.
Excellent problem-solving and analytical skills.

Core Technologies
Data Visualization Tools | Cloud-based Data Services | SQL | Programming Languages (Python, Scala, Java)

## Description

The role involves working in a dynamic environment focusing on data and analytics engineering to support strategic initiatives.
Located in Coraopolis, PA, this full-time position requires expertise in designing and maintaining data infrastructure, ensuring efficient data processing, and delivering insights through data visualization.
Proficiency in cloud-based technologies and data visualization tools is essential.

Key Responsibilities
Design and develop scalable data pipelines for data integration and transformation.
Oversee data storage solutions, ensuring data organization and security.
Utilize data pipelines and triggers for reliable data delivery.
Create and maintain reports and dashboards for actionable insights.
Implement data governance policies to ensure data quality and compliance.