

SSi People
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Pittsburgh, Pennsylvania (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Key skills include ELT pipeline design with Informatica, SQL expertise, and experience with data platforms and orchestration tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Pittsburgh, PA
-
🧠 - Skills detailed
#Cloud #"ETL (Extract #Transform #Load)" #Data Modeling #Data Integration #Big Data #Data Quality #Data Accuracy #Data Pipeline #AI (Artificial Intelligence) #Scrum #DevOps #Deployment #RDBMS (Relational Database Management System) #Version Control #SQL (Structured Query Language) #Data Engineering #Scala #Batch #Monitoring #Data Warehouse #Data Orchestration #Airflow #Informatica #Informatica PowerCenter
Role description
Job Title: Data Engineer
Location: Pittsburgh, Pennsylvania (Hybrid)
Job Summary: We are seeking a highly skilled professional to contribute to the design and delivery of scalable, high-performance data solutions in an enterprise environment. Our team focuses on building, supporting, and optimizing modern ELT data pipelines to ensure the reliability and integrity of critical business data across complex distributed systems.
Responsibilities
• Design and develop scalable, high-performance ELT data pipelines using Informatica and other modern data integration platforms.
• Collaborate with cross-functional teams including product owners, scrum masters, and developers to establish backlog and deliver enterprise-grade data solutions.
• Perform production support for mission-critical data platforms, including monitoring, troubleshooting, and performance tuning of batch and near real-time pipelines.
• Ensure data accuracy, consistency, and integrity through strong data modeling and implementation of reconciliation frameworks.
Required
• Proven experience designing and implementing ELT pipelines with Informatica (PowerCenter / IDMC) in complex enterprise environments.
• Strong expertise in SQL, data transformation techniques, performance tuning, and query optimization.
• Hands-on experience with data platforms including RDBMS, cloud data warehouses, and big data ecosystems, as well as data orchestration tools such as Airflow or similar.
• Knowledge of DevOps practices, CI/CD pipelines, version control for ETL/ELT deployments, and exposure to data quality validation, reconciliation, and audit frameworks.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy
Job Title: Data Engineer
Location: Pittsburgh, Pennsylvania (Hybrid)
Job Summary: We are seeking a highly skilled professional to contribute to the design and delivery of scalable, high-performance data solutions in an enterprise environment. Our team focuses on building, supporting, and optimizing modern ELT data pipelines to ensure the reliability and integrity of critical business data across complex distributed systems.
Responsibilities
• Design and develop scalable, high-performance ELT data pipelines using Informatica and other modern data integration platforms.
• Collaborate with cross-functional teams including product owners, scrum masters, and developers to establish backlog and deliver enterprise-grade data solutions.
• Perform production support for mission-critical data platforms, including monitoring, troubleshooting, and performance tuning of batch and near real-time pipelines.
• Ensure data accuracy, consistency, and integrity through strong data modeling and implementation of reconciliation frameworks.
Required
• Proven experience designing and implementing ELT pipelines with Informatica (PowerCenter / IDMC) in complex enterprise environments.
• Strong expertise in SQL, data transformation techniques, performance tuning, and query optimization.
• Hands-on experience with data platforms including RDBMS, cloud data warehouses, and big data ecosystems, as well as data orchestration tools such as Airflow or similar.
• Knowledge of DevOps practices, CI/CD pipelines, version control for ETL/ELT deployments, and exposure to data quality validation, reconciliation, and audit frameworks.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy






