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Data Engineer Jobs in Carnegie, PA (NOW HIRING)

SysMind Tech

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location || Onsite - Warrendale, PA / Pittsburgh, PA (U.S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

PNC Bank

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

As a Data Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA or Cleveland, OH. We are seeking a Data Engineer to help support large-scale enterprise big data platforms.

System One

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

System One

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

ARMADA

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our next generation data infrastructure, which powers a wide range of analytics and software products.

System One Holdings, LLC

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

System One

Data Engineer

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

ARMADA

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our next generation data infrastructure, which powers a wide range of analytics and software products.

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

Palnar

Data Engineer

Pittsburgh, PA · On-site

$108K - $130K/yr

• Current major goal of project is to move from OnPrem to cloud storage to SaaS • ThoughtSpot is a BI tool for the enterprise (internal users) • Team is made of data engineers and business ...

CGI Inc.

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Pennsylvania, Pittsburgh Position ID:J0726-2185 Employment Type: Full Time Position Description: We ...

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

Free Market Health

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

The Role We are seeking a Data Engineer to play a key role in building and optimizing the data infrastructure that powers FMH's platform and analytics capabilities. You will contribute to the design ...

Bespoke Labs

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Carnegie, PA

Data Engineer information

See Carnegie, PA salary details

$42.7K

$124.4K

$170.2K

How much do data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data engineer in Carnegie, PA is $124,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,800.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What job categories do people searching Data Engineer jobs in Carnegie, PA look for? The top searched job categories for Data Engineer jobs in Carnegie, PA are:
What cities near Carnegie, PA are hiring for Data Engineer jobs? Cities near Carnegie, PA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Carnegie, PA as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,382 per year, or $59.8 per hour.

Data Engineer

SysMind Tech

Pittsburgh, PA • On-site

$111K - $133K/yr

Contractor

Re-posted 25 days ago

Job description

Data Engineer
Location || Onsite - Warrendale, PA / Pittsburgh, PA (U.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 responsible for designing, developing, and optimizing large-scale data pipelines using Databricks, Spark, and Python. This is a short-term, high-priority onsite engagement (6-9 months) supporting critical client data engineering initiatives. The engineer will work directly at the client location in Pennsylvania and collaborate closely with technical teams to deliver scalable and high-performing data solutions.

Key responsibilities:
    • Design, build, and maintain Databricks-based ETL/ELT pipelines.
    • Develop high-performance Spark (PySpark) workflows for data processing.
    • Work with large-scale data in Lakehouse/Data Lake environments.
    • Optimize and troubleshoot existing Databricks jobs and clusters.
    • Collaborate with business and technical stakeholders to understand data requirements.
    • Implement data quality checks, validation rules, and monitoring processes.
    • Work with orchestration tools (ADF or equivalent) to schedule and automate workflows.
    • Ensure best practices in version control, CI/CD, and documentation.
    • Support production pipelines and resolve data-related issues proactively

Key competencies
    • Strong analytical and problem-solving mindset.
    • Ability to work independently in a fast-paced, onsite environment.
    • Excellent communication and cross-functional collaboration skills.
    • Strong ownership and accountability for deliverables.
    • Adaptability to dynamic project needs.

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