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Sr Data Engineer- #26-11287

US Tech Solutions, Inc.

Pittsburgh, PA

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JOB DETAILS
SALARY
$49.50–$62.50 Per Hour
SKILLS
Amazon Simple Storage Service (S3), Analysis Skills, Apache, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Cloud Storage, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Data Analysis, Data Lake, Data Management, Data Partitioning, Data Processing, Data Quality, Data Science, Data Storage, Database Extract Transform and Load (ETL), DevOps, Docker, ERP (Enterprise Resource Planning), GCP (Good Clinical Practices), Git, Identify Issues, Information/Data Security (InfoSec), Internet of Things, Linux Operating System, Manufacturing Execution Systems (MES), Microsoft Office, Microsoft SQL Server, MySQL, Oracle Database, Platform as a Service (PaaS), Python Programming/Scripting Language, Query Optimization, REST (Representational State Transfer), Root Cause Analysis, SQL (Structured Query Language), Scalable System Development, Scripting (Scripting Languages), Software Engineering, Unix Shell Programming, Wiki
LOCATION
Pittsburgh, PA
POSTED
22 days ago
Overview:
We are seeking an experienced Data Engineer to join our AI & Digital Team. This individual will design, build, and optimize data pipelines and infrastructure, enabling advanced analytics, process automation, and data-driven decision-making. The Data Engineer will work closely with data scientists, and IT teams to ensure data reliability and actionable insights across the data lifecycle.
Key Responsibilities
  • Develop/maintain scalable and reliable data pipelines for industrial data (like real-time streaming, time series, IoT, sensors, MES, ERP systems data)
  • Integrate data from different sources (databases, clouds or on-premises) and Engineer workflows for efficient ETL/ELT processing and data validation.
  • Collaborate with architects, data engineers, data scientists, analysts, and business stakeholders to define and deliver solutions.
  • Build and maintain data infrastructure in compliance with data governance and security best practices
Requirements
  • Bachelor’s degree in computer science or related fields with 3-5 years’ experience as a Data Engineer.
  • Strong experience in building, maintaining, and optimizing ETL/ELT Cloud-agnostics data pipelines using Python, Pandas, PySpark and orchestrating workflows like Apache Airflow and Kedro framework.
  • Advanced SQL/ KQL query development and optimization across Oracle, MSSQL, and MySQL databases (hosted on-premises or via PaaS offerings).
  • Strong understanding of cloud agnostic data engineering patterns, including batch vs. streaming ingestion, schema evolution, data partitioning, and cost optimized storage design.
  • Experience working with cloud object storage across providers (e.g., ADLS, S3, GCS) and designing reliable, scalable data lake or Lakehouse solutions.
  • Developing and consuming RESTful API (Fast API )s for data services and integration.
  • Proficiency in Linux shell scripting for automation.
  • Experience with DevOps practices, including CI/CD for data pipelines and use of tools such as Git, Docker and deployment.
  • Strong troubleshooting, process automation, and root-cause analysis skills

Preferred Skills:
  • Data Ingestion Pipeline: Python, PySpark, Airflow, Kedro, Linux shell scripting
  • API Development: Flask, Fast API, RESTful design
  • Data Storage & Querying: SQL (Oracle, MSSQL, MySQL), KQL
  • Cloud Integration: Multi-cloud platforms (OCI, Clienture, GCP); cross-cloud data sharing/integration using portable Spark platforms (e.g., Databricks)
  • Platform: Databricks, C3.AI
  • Real-Time Data Streaming: Kafka, Clienture Event Hub, EMQX
  • Collaboration: Wiki, Clienture DevOps Boards, MS Office 365
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
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About the Company

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US Tech Solutions, Inc.

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