> Markdown version of [/jobs/ext/3997928-senior-data-engineer-informatica-pyspark](https://www.wearedevelopers.com/jobs/ext/3997928-senior-data-engineer-informatica-pyspark). 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).

---

# Senior Data Engineer (Informatica & PySpark)

- **Company:** Incedo Inc
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, Big Data, Computer Programming, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Mining, Database Theory, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache Hive, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Sqoop, Data Streaming, Informatica Powercenter, Pyspark, Information Technology, AWS Data Analytics, Apache Kafka, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/a1ca488d-ffb1-498a-bf51-07a9cb09791f

## About the Role

Position Title: Senior Data Engineer

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