# Senior Data Engineer

> Qode · Ohio, United States (Remote) · Full-time · Posted 2026-06-02

**Workplace:** remote

## Description

-   **Experience:** 8–10 years in Data Engineering and Data Analysis.
-   **Informatica Expertise:** Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
-   **PySpark Development:** Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
-   **Hadoop Ecosystem:** Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
-   **Programming Skills:** Proficiency in Python and Kafka for streaming and batch data pipelines.
-   **Database & Modeling:** Strong understanding of database concepts, data design, data modeling, and ETL workflows.
-   **ETL Lifecycle:** Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
-   **Agile Delivery:** Hands-on experience with Agile methodology and Jira for project delivery.
-   **Client Interaction:** Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.

**Senior Data Engineer (Informatica & PySpark)**

-     
    
-   **Preferred Skills:**
-   Exposure to AWS data components and analytics.
-   Familiarity with machine learning models and AI concepts.
-   Experience with data modeling tools such as Erwin.

**Qualifications**

-   Master’s or Bachelor’s degree in Computer Science or related field.
-   Strong problem-solving skills and ability to work in cross-functional teams.

## Apply

[Apply at Qode](https://apply.workable.com/qodeworld/j/CB98496C8E/apply)

---
Powered by [Workable](https://www.workable.com)