

Realign LLC
Data Engineer with Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Python, based in Malvern, PA, for over 6 months. Pay rate is unspecified. Key skills include Python, SQL, ETL processes, and big data tools. Cloud platform familiarity is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
504
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🗓️ - Date
March 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Malvern, PA
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🧠 - Skills detailed
#Scala #SQL Server #Data Modeling #Microsoft Power BI #SQL (Structured Query Language) #Datasets #AWS (Amazon Web Services) #Cloud #PostgreSQL #Data Science #Apache Spark #Data Warehouse #Data Lake #Databases #GCP (Google Cloud Platform) #Azure #PySpark #SQL Queries #NumPy #Data Quality #MySQL #Data Pipeline #Hadoop #Kafka (Apache Kafka) #Data Extraction #Visualization #GIT #Data Integration #Spark (Apache Spark) #Data Engineering #Tableau #Version Control #Big Data #Pandas #BI (Business Intelligence) #Python #"ETL (Extract #Transform #Load)"
Role description
Malvern, Pennsylvania 19355 Posted March 16th, 2026
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Job Type: Full Time
Job Category: IT
Role: Data Engineer with Python Location: Malvern, PA (Onsite) Contract
Job Summary
We are seeking a Data Engineer with strong Python expertise to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work with large datasets, develop ETL processes, and support data analytics and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python.
Build and optimize ETL/ELT processes to ingest and transform large datasets from multiple sources.
Develop and manage data models, data warehouses, and data lakes.
Write efficient SQL queries for data extraction, transformation, and analysis.
Ensure data quality, integrity, and governance across data platforms.
Work closely with data scientists, analysts, and business stakeholders to understand data requirements.
Monitor and troubleshoot data pipeline performance issues.
Implement data integration solutions using APIs and streaming technologies.
Support data visualization and reporting tools such as Power BI or Tableau.
Required Skills
Strong experience with Python for data engineering (Pandas, PySpark, NumPy).
Experience building ETL pipelines and data workflows.
Proficiency in SQL and relational databases (PostgreSQL, MySQL, SQL Server, etc.).
Experience with big data tools such as Apache Spark, Hadoop, or Kafka.
Knowledge of data warehousing concepts and data modeling.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with version control tools like Git.
Required Skills
PYTHON DEVELOPER
Malvern, Pennsylvania 19355 Posted March 16th, 2026
Looking for more job opportunities? Click here!
Job Type: Full Time
Job Category: IT
Role: Data Engineer with Python Location: Malvern, PA (Onsite) Contract
Job Summary
We are seeking a Data Engineer with strong Python expertise to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work with large datasets, develop ETL processes, and support data analytics and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python.
Build and optimize ETL/ELT processes to ingest and transform large datasets from multiple sources.
Develop and manage data models, data warehouses, and data lakes.
Write efficient SQL queries for data extraction, transformation, and analysis.
Ensure data quality, integrity, and governance across data platforms.
Work closely with data scientists, analysts, and business stakeholders to understand data requirements.
Monitor and troubleshoot data pipeline performance issues.
Implement data integration solutions using APIs and streaming technologies.
Support data visualization and reporting tools such as Power BI or Tableau.
Required Skills
Strong experience with Python for data engineering (Pandas, PySpark, NumPy).
Experience building ETL pipelines and data workflows.
Proficiency in SQL and relational databases (PostgreSQL, MySQL, SQL Server, etc.).
Experience with big data tools such as Apache Spark, Hadoop, or Kafka.
Knowledge of data warehousing concepts and data modeling.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with version control tools like Git.
Required Skills
PYTHON DEVELOPER






