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Sql Python Data Engineer Jobs in Pennsylvania (NOW HIRING)

Acunor Infotech

Sr.Data Engineer -- PYspark,SQL

Erie, PA · On-site

$111K - $133K/yr

Contract Experience: 10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

This role applies SQL, Python, modern data engineering practices, visualization tools, and AI-assisted development to improve data quality, automate workflows, and deliver scalable data and AI ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

This role applies SQL, Python, modern data engineering practices, visualization tools, and AI-assisted development to improve data quality, automate workflows, and deliver scalable data and AI ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

This role applies SQL, Python, modern data engineering practices, visualization tools, and AI-assisted development to improve data quality, automate workflows, and deliver scalable data and AI ...

Dlapiper

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Perpay - Career's Page

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Python and SQL everywhere. Spark when the size of the problem demands it. You don't need to have used all of this before, but you should have at least two years of production data engineering ...

Perpay - Career's Page

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Python and SQL everywhere. Spark when the size of the problem demands it. You don't need to have used all of this before, but you should have at least two years of production data engineering ...

Indotronix International Corporation

Data Engineer

Wayne, PA · On-site

$103K - $124K/yr

Data Engineer - Contract to Hire (Hybrid, No Sponsorship) Location: Wayne, PA | Plano, TX | ... in SQL, Python, ETL processes - Hands-on experience with AWS services: Glue ETL, Lambda, Redshift ...

Drevol LLC

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Data Engineer Location:Malvern PA Openings: 3 Duration: Contract Job Summary We are seeking an ... Expert level SQL, Financial Investment Securities domain knowledge, Python, AWS services (e.g.

Compunnel

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

The role requires advanced Python and SQL expertise along with strong hands-on experience with AWS data services to develop scalable and reliable data engineering solutions. Key Responsibilities: • ...

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Sql Python Data Engineer information

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer, Malvern, PA (Onsite)

Malvern, PA • On-site

Prohires
See more jobs at Prohiresexternal

$112K - $134K/yr

Other

Posted 5 days ago

Job description

Senior Data Engineer

Location: Malvern, PA (Onsite)
Duration: Long-Term Contract
Experience Required: 8+ Years

Job Summary

We are seeking a highly skilled Senior Data Engineer with strong expertise in Python, SQL, and AWS cloud technologies to design, develop, and optimize scalable data solutions. The ideal candidate will have extensive experience building modern data pipelines, ETL/ELT frameworks, cloud-native architectures, and large-scale data processing systems. This role will be responsible for developing robust data platforms that support analytics, reporting, machine learning, and business intelligence initiatives.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Python and AWS services.
  • Build and optimize ETL/ELT workflows for ingesting, transforming, and loading large datasets.
  • Develop cloud-native data solutions leveraging AWS services such as Glue, S3, Lambda, Redshift, Athena, CloudWatch, and IAM.
  • Write complex and optimized SQL queries for data extraction, transformation, validation, and reporting.
  • Design and implement data models for analytics and business intelligence platforms.
  • Monitor, troubleshoot, and optimize data workflows to ensure reliability and performance.
  • Collaborate with Data Scientists, Analysts, Architects, and Business stakeholders to understand data requirements and deliver solutions.
  • Implement data quality, governance, security, and compliance standards across data platforms.
  • Build automation frameworks for data processing and operational support.
  • Participate in code reviews, architecture discussions, and technical design sessions.
  • Create technical documentation and maintain best practices for data engineering processes.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • 8+ years of experience in Data Engineering and Data Warehousing.
  • Strong hands-on experience with Advanced Python programming for data engineering applications.
  • Extensive experience with SQL and relational databases.
  • Strong AWS experience with:
    • AWS Glue
    • Amazon S3
    • AWS Lambda
    • Amazon Redshift
    • AWS Athena
    • CloudWatch
    • IAM
  • Experience building and maintaining large-scale ETL/ELT pipelines.
  • Strong understanding of data modeling, data warehousing, and dimensional modeling concepts.
  • Experience with performance tuning and optimization of SQL queries and data pipelines.
  • Knowledge of CI/CD practices and version control tools such as Git.
  • Strong troubleshooting and problem-solving skills.
Preferred Qualifications
  • Experience with Apache Spark, PySpark, or distributed data processing frameworks.
  • Experience with Airflow or other workflow orchestration tools.
  • Knowledge of streaming technologies such as Kafka or Kinesis.
  • Experience working in Agile/Scrum environments.
  • Exposure to Snowflake, Databricks, or other modern data platforms.
  • AWS certifications are a plus.
Technical Skills

Programming:

  • Python (Advanced)
  • SQL

Cloud & Data Services:

  • AWS Glue
  • Amazon S3
  • AWS Lambda
  • Amazon Redshift
  • AWS Athena
  • CloudWatch
  • IAM

Tools & Technologies:

  • Git
  • CI/CD Pipelines
  • ETL/ELT Frameworks
  • Data Warehousing
  • Data Modeling
Nice to Have
  • PySpark / Spark
  • Airflow
  • Kafka
  • Snowflake
  • Databricks
  • Machine Learning Data Pipelines

Keywords: Senior Data Engineer, Python Data Engineer, AWS Data Engineer, ETL Developer, Data Warehouse Engineer, AWS Glue, Redshift, Lambda, S3, SQL, PySpark, Airflow, Data Pipelines, Cloud Data Engineering.

 

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