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Data Software Engineer Jobs in Philadelphia, PA (NOW HIRING)

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team ... of software engineering principles, including design patterns, testing, security, and version ...

We are seeking highly motivated Software Engineers to support the continued development and ... Safety Analysis; Real-Time System Data Analysis; Problem Analysis; System Integration * High ...

We are seeking highly motivated Software Engineers to support the continued development and ... Safety Analysis; Real-Time System Data Analysis; Problem Analysis; System Integration * High ...

SOFTWARE ENGINEER I

Camden, NJ · On-site

$85K - $100K/yr

Build and enhance data pipelines, ETL processes, and analytical solutions using Python. * Develop and support cloud-native applications using Microsoft Azure services. * Design and maintain ...

New

SOFTWARE ENGINEER I

Camden, NJ · On-site

$85K - $100K/yr

Build and enhance data pipelines, ETL processes, and analytical solutions using Python. * Develop and support cloud-native applications using Microsoft Azure services. * Design and maintain ...

New

We are seeking highly motivated Software Engineers to support the continued development and ... Real-Time System Data Analysis; Problem Analysis; System Integration * Experience developing ...

Sr. Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Our innovative solutions and commitment to excellence provide comprehensive software and hardware ... We are seeking a Senior Data Engineer to join our team and help us build the next generation of ...

Data Engineer, Specialist

Wayne, PA · On-site

$103K - $124K/yr

The Data Engineer, Specialist is responsible for building and maintaining scalable data pipelines ... Troubleshoots software and processes for data consistency and integrity. Integrates large scale ...

We are seeking highly motivated Software Engineers to support the continued development and ... Real-Time System Data Analysis; Problem Analysis; System Integration * Experience developing ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Bachelor's degree in computer science, Information Systems, Software Engineering * Technical: Hands on experience with Azure Data Factory (4+ years), Azure Databricks (4+ years), HVR (2+ years ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Bachelor's degree in computer science, Information Systems, Software Engineering * Technical: Hands on experience with Azure Data Factory (4+ years), Azure Databricks (4+ years), HVR (2+ years ...

Software Engineer

Philadelphia, PA · On-site

$54 - $58/hr

Software Engineer (Contract) We are not accepting C2C or 1099 arrangements. Location: Philadelphia ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

Showing results 21-40

Data Software Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do data software engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data software engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a data software engineer?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

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

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges data software engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Software Engineer jobs in Philadelphia, PA?

The most popular types of Data Software Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Data Software Engineer jobs in Philadelphia, PA?

For Data Software Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Software Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Data Software Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Software Engineer jobs?

Cities near Philadelphia, PA with the most Data Software Engineer job openings:

Infographic showing various Data Software Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

$112K - $134K/yr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team. The role involves developing and optimizing complex data pipelines and building scalable AI/ML solutions, with a focus on integrating model pipelines and collaborating with data science teams.
Responsibilities:
• We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.
• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
Qualifications:
Required:
• Around 5-8 years of relevant work experience (Machine Learning Engineering).
• At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
• Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
• Robust understanding of cloud technologies, including AWS and Azure.
• Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
Preferred:
• Experience with API design and development is a plus.
• Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.