Overview
On Site
USD 100,000.00 - 150,000.00 per year
Full Time
Skills
Decision-making
Data Extraction
Data Storage
Data Warehouse
Dimensional Modeling
Database
Data Management
Data Quality
Data Integrity
Workflow
Knowledge Sharing
Regulatory Compliance
Data Governance
Computer Science
Information Technology
Data Engineering
Python
PySpark
Data Integration
Analytics
SQL
Version Control
Git
Microsoft Azure
DevOps
Data Modeling
Conflict Resolution
Problem Solving
Analytical Skill
Attention To Detail
Effective Communication
Collaboration
Teamwork
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET
Job Details
Description
We are looking for a skilled Data Engineer to join our team in Malvern, Pennsylvania. In this role, you will be instrumental in designing, developing, and maintaining robust data integration processes using Python and Azure Synapse Analytics. By collaborating with cross-functional teams, you will ensure the delivery of high-quality data solutions that empower business insights and decision-making.
Responsibilities:
Design and implement data integration workflows using Python (PySpark) and Azure Synapse Analytics to support data extraction, transformation, and loading processes.
Develop and optimize data storage solutions such as data warehouses and lakehouses, employing best practices in data modeling, including star schemas, facts, and dimensions.
Extract and transform data from diverse sources, including APIs, database tables, and structured files, ensuring seamless data integration.
Leverage Azure Synapse Analytics features, such as Notebooks and Pipelines, to create scalable, high-performance data solutions.
Contribute to the adoption and implementation of advanced data management concepts, including data lakes, delta lakes, and data cataloging.
Collaborate with data architects to define and implement efficient data models aligned with organizational needs.
Conduct data quality assessments and implement validation procedures to maintain data integrity and reliability.
Monitor and troubleshoot data pipelines to ensure optimal performance and resolve any technical issues.
Document data engineering processes, workflows, and transformations to facilitate knowledge sharing and operational continuity.
Ensure compliance with data governance policies and implement security measures to protect sensitive information.
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
Proven expertise in data engineering with hands-on experience in Python (PySpark) for data integration tasks.
Proficiency in using Azure Synapse Analytics tools, including Notebooks, Pipelines, and Linked Services.
Strong SQL skills, including the ability to write complex queries and optimize query performance.
Familiarity with version control systems, such as Git or Azure DevOps.
Knowledge of data modeling techniques and experience in designing scalable data architectures.
Excellent problem-solving and analytical skills with a strong attention to detail.
Effective communication and teamwork abilities, with a collaborative mindset.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
We are looking for a skilled Data Engineer to join our team in Malvern, Pennsylvania. In this role, you will be instrumental in designing, developing, and maintaining robust data integration processes using Python and Azure Synapse Analytics. By collaborating with cross-functional teams, you will ensure the delivery of high-quality data solutions that empower business insights and decision-making.
Responsibilities:
Design and implement data integration workflows using Python (PySpark) and Azure Synapse Analytics to support data extraction, transformation, and loading processes.
Develop and optimize data storage solutions such as data warehouses and lakehouses, employing best practices in data modeling, including star schemas, facts, and dimensions.
Extract and transform data from diverse sources, including APIs, database tables, and structured files, ensuring seamless data integration.
Leverage Azure Synapse Analytics features, such as Notebooks and Pipelines, to create scalable, high-performance data solutions.
Contribute to the adoption and implementation of advanced data management concepts, including data lakes, delta lakes, and data cataloging.
Collaborate with data architects to define and implement efficient data models aligned with organizational needs.
Conduct data quality assessments and implement validation procedures to maintain data integrity and reliability.
Monitor and troubleshoot data pipelines to ensure optimal performance and resolve any technical issues.
Document data engineering processes, workflows, and transformations to facilitate knowledge sharing and operational continuity.
Ensure compliance with data governance policies and implement security measures to protect sensitive information.
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
Proven expertise in data engineering with hands-on experience in Python (PySpark) for data integration tasks.
Proficiency in using Azure Synapse Analytics tools, including Notebooks, Pipelines, and Linked Services.
Strong SQL skills, including the ability to write complex queries and optimize query performance.
Familiarity with version control systems, such as Git or Azure DevOps.
Knowledge of data modeling techniques and experience in designing scalable data architectures.
Excellent problem-solving and analytical skills with a strong attention to detail.
Effective communication and teamwork abilities, with a collaborative mindset.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.