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Sql Python Data Engineer Jobs in Pennsylvania (NOW HIRING)

System One

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Strong Python development skills for data processing and automation . Advanced SQL skills ...

System One

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Strong Python development skills for data processing and automation . Advanced SQL skills ...

System One

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Strong Python development skills for data processing and automation . Advanced SQL skills ...

System One

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$99K - $134K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Strong Python development skills for data processing and automation . Advanced SQL skills ...

First Quality Retail Services

Data Engineer

Home, PA · On-site +1

$102K - $122K/yr

We are seeking a Data Engineer for our First Quality Enterprises, LLC working remotely from the ... Proficiency in SQL and Python. * Strong problem-solving and analytical skills with the ability to ...

Naval Nuclear Laboratory

Data Engineer

West Mifflin, PA · On-site

$95K - $149K/yr

Proficiency in programming languages such as SQL and Python, and experience with big data technologies like Apache Spark or Hadoop. * Experience with database management systems, both relational and ...

Naval Nuclear Laboratory

Data Engineer

West Mifflin, PA · On-site

$95K - $149K/yr

Proficiency in programming languages such as SQL and Python, and experience with big data technologies like Apache Spark or Hadoop. Experience with database management systems, both relational and ...

Entarian

Data Engineer

Mechanicsburg, PA · Remote

$125K - $150K/yr

Strong proficiency in SQL and experience with other querying languages. * Experience in ... Experience with one or more programming languages like Python, Java, Scala, or Go. About Us Formed ...

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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 AWS Data Engineer

Pittsburgh, PA • On-site

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

$102K - $139K/yr

Other

Posted 12 days ago

Job description

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Description: Senior AWS Data Engineer to support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment. This role will focus on building and improving cloud-based data pipelines and analytics solutions using AWS technologies, with particular emphasis on Amazon Redshift, AWS Glue, Python, and SQL. The successful candidate will work with complex business and technical requirements, develop reliable data processing solutions, and contribute to automation and CI/CD practices. Your future duties and responsibilities Senior AWS Data Engineer to support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment. This role will focus on building and improving cloud-based data pipelines and analytics solutions using AWS technologies, with particular emphasis on Amazon Redshift, AWS Glue, Python, and SQL. The successful candidate will work with complex business and technical requirements, develop reliable data processing solutions, and contribute to automation and CI/CD practices. As a senior level resource, this individual should be comfortable working independently, troubleshooting complex data issues, collaborating with cross functional teams, and helping drive solutions from requirements through implementation and production support. Exposure to Generative AI and opportunities to apply AI driven automation within data engineering workflows is also valuable. Required qualifications to be successful in this role . 5+ years of hands-on experience with AWS based data engineering . Experience with Amazon Redshift, including data processing and performance optimization . Hands on experience developing ETL/data pipelines using AWS Glue . Strong Python development skills for data processing and automation . Advanced SQL skills, including complex queries and large data sets . Experience with CI/CD pipelines and automated deployment practices . Experience developing and maintaining enterprise scale data and analytics applications . Understanding of data quality, troubleshooting, performance, and production support . Exposure to Generative AI (GenAI) and AI enabled automation use cases . Ability to work through complex requirements with limited oversight . Strong communication and collaboration skills . Financial services, enterprise risk, or risk analytics experience is preferred Education: Bachelor's degree in computer science, Information Technology, Engineering, Data Science, or a related technical field. Education: Bachelor's degree in Computer Science, Information Systems, or a related field.? #M- #LI- Ref: #404-IT Pittsburgh

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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