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Senior Data Engineer Python Jobs in Pennsylvania

innovitusa

Data Engineer

Harrisburg, PA · On-site

$113K - $135.70K/yr

SQL and Python expertise * Spark, Hadoop, or Databricks experience * ETL pipeline development ... Senior-Level: 5+ years Work Authorization ✅ W2 Candidates Only ✅ USC & GC Preferred ...

APR Supply Co.

Senior Data Engineer- MS Fabric

Lebanon, PA · On-site

$104.20K - $141.50K/yr

Strong Power BI, SQL, and Python skills Strongly Preferred * Experience governing data in ... Work directly with senior leadership * Modern Stack : Microsoft Fabric, Purview, Power BI, AI

HealthVerity

Senior Data Scientist

Philadelphia, PA

Senior Data Scientist Symphony Health, a HealthVerity Company, comprises curious thinkers and ... programming languages such as Python or R. * Excellent problem-solving skills and the ability to ...

New

Excela Health

SENIOR DATA ENGINEER - HYBRID

Greensburg, PA · On-site

$97.50K - $132.50K/yr

By using various data extraction methods across multiple data sources, the Senior Engineer will be responsible for compiling application-ready data models for analytic deliveries. Essential Job ...

Excela Health

SENIOR DATA ENGINEER - HYBRID

Greensburg, PA · On-site

$97.50K - $132.50K/yr

By using various data extraction methods across multiple data sources, the Senior Engineer will be responsible for compiling application-ready data models for analytic deliveries. Essential Job ...

Hamilton Lane

Data Engineer

Conshohocken, PA · On-site

$112.70K - $135.30K/yr

We are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team. As an ETL Data Engineer, you will play a critical role in our ...

Hamiltonlane

Data Engineer

Conshohocken, PA

$112.70K - $135.30K/yr

We are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team. As an ETL Data Engineer, you will play a critical role in our ...

SysMind Tech

Data Engineer

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

UPMC Health Plan

Sr. Data Scientist

Pittsburgh, PA · On-site +1

The Senior Data Scientist develops, implements, and monitors advanced analytic, medical informatics ... Strong programming skills in Python, SQL, and other relevant languages. * Experience conducting ...

New

Johnson & Johnson

Sr. Data Scientist

West Chester, PA · On-site

The Senior Data Scientist will collaborate with a team of engineers, data scientists, and ... Perform data manipulation, automation, and reproducible analyses using R (including Shiny), Python ...

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Senior Data Engineer Python information

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Python, and why are they important?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a Senior Data Engineer specializing in Python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What does a Senior Data Engineer Python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Pennsylvania? For Senior Data Engineer Python jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Python jobs in Pennsylvania look for? The top searched job categories for Senior Data Engineer Python jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Data Engineer Python jobs? Cities in Pennsylvania with the most Senior Data Engineer Python job openings:
Senior Data Engineer Python jobs near you
Data Engineer - Data Architecture for Data Science & Machine Learning

Data Engineer - Data Architecture for Data Science & Machine Learning

The Applied Research Laboratory at Penn State University

State College, PA • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
The Applied Research Laboratory at Penn State University is seeking a Senior Data Engineer with expertise in database design and data access strategies to support data science and machine learning initiatives. In this role, you will architect and optimize data systems to empower data scientists in their research and application development.
Responsibilities:
• Design and maintain scalable, high-performance database solutions to support data science workflows and ML experimentation
• Partner with data scientists to understand data access patterns and develop storage strategies that accelerate analysis and model training
• Serve as the internal subject matter expert on PostgreSQL—including schema design, indexing, partitioning, and query optimization
• Evaluate and integrate alternative database technologies (e.g., MongoDB, Neo4j, Redis, Cassandra) where they provide clear advantages
• Lead efforts to optimize data pipelines for both structured and unstructured data used in algorithm development
• Ensure data integrity, security, and governance across storage systems
• Implement monitoring, automation, and performance-tuning tools for all database environments
• Advise on data lifecycle management—balancing accessibility for R&D with efficiency and compliance requirements
Qualifications:
Required:
• 5+ years of experience in data engineering, database architecture, or related technical roles
• Expert-level proficiency in PostgreSQL (query tuning, schema design, indexing, partitioning, replication)
• Strong understanding of data modeling, normalization vs. denormalization tradeoffs, and query optimization
• Experience with non-relational databases (e.g., MongoDB, Cassandra, Neo4j, Redis, or DynamoDB)
• Familiarity with machine learning workflows and how data is consumed for training, evaluation, and deployment
• Experience with cloud database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Database)
• Proficiency in SQL and one or more scripting languages (Python preferred)
• Excellent communication and collaboration skills—comfortable working closely with data scientists, ML engineers, and software developers
Preferred:
• Experience architecting hybrid data ecosystems spanning relational, NoSQL, and analytical databases.
• Knowledge of data lake, warehouse, and feature store architectures (e.g., Snowflake, Redshift, BigQuery, Feast).
• Familiarity with ETL/ELT frameworks and data orchestration tools (e.g., Airflow, dbt).
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Company:
The Applied Research Laboratory at Penn State University is an integral part of one of the leading research universities in the nation. Founded in 1945, the company is headquartered in State College, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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