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Sql Python Data Engineer Jobs in Cary, NC (NOW HIRING)

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and ...

Precision Fermentation

Data Engineer

Durham, NC · On-site

$100 - $125/hr

Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership * Develop and maintain transformations using dbt or similar tools within a Snowflake ...

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership * Develop and maintain transformations using dbt or similar tools within a Snowflake ...

Northern Base

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

... Python | PySpark | Qlik Replicate | CDC | Oracle | SQL Server | DB2 | Schema Drift | Schema ... DevOps | CI/CD | Data Integration | Pipeline Monitoring | Performance Optimization

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... SQL (standard and DB-specific), Python, Scala, Bash * Frameworks: Hadoop, Spark, Kafka * Gen AI:

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... SQL (standard and DB-specific), Python, Scala, Bash * Frameworks: Hadoop, Spark, Kafka * Gen AI:

Envestnet, Inc.

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Languages: SQL (standard and DB-specific), Python, Scala, Bash * Framework: Apache Iceberg ...

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $200/hr

... Oracle|PL/SQL Technical Skills 4 Technical Skills 5 Technology|ETL & Data Quality|ETL & Data ... Experience in AWS Glue & ETL Engineering - Designing scalable ETL/ELT pipelines using AWS Glue ...

Astral Insights LLC

Forward Deployed Engineer

Raleigh, NC · On-site

$125 - $150/hr

Comfortable with SQL, Python, data modeling, and the bronze / silver / gold medallion pattern (or ... Real prompt and context engineering chopsFull-stack rangeClient-facing presence You have led calls ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Advanced proficiency in Python and SQL. * Advanced experience developing and supporting ETL/ELT ... Experience with data modeling, data warehousing, and data engineering best practices. * Experience ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Advanced proficiency in Python and SQL. * Advanced experience developing and supporting ETL/ELT ... Experience with data modeling, data warehousing, and data engineering best practices. * Experience ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Advanced proficiency in Python and SQL. * Advanced experience developing and supporting ETL/ELT ... Experience with data modeling, data warehousing, and data engineering best practices. * Experience ...

Well

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN ... Experience in delivery of software utilizing Node.js, Python, SQL, and Terraform * 3+ years of ...

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Showing results 21-40

All JobsSql Python Data Engineer JobsSql Python Data Engineer Jobs in Cary, NC

Sql Python Data Engineer information

See Cary, NC salary details

$41.2K

$120.2K

$164.4K

How much do sql python data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for sql python data engineer in Cary, NC is $120,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

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 Cary, NC 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, with an average salary of $120,171 per year, or $57.8 per hour.

Data Engineer (Health Data Metrics)

Durham, NC • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$125 - $150/hr

Other

Posted 4 days ago

Job description

About the role

We are seeking a skilled and motivated mid level to senior level Data Engineer to join our team and play a critical role in building and optimizing the data infrastructure that powers our healthcare AI solutions. The ideal candidate will bring expertise in modern data engineering tools and techniques, with a specific focus on healthcare quality metrics, population health, and data interoperability standards such as FHIR. Level and salary will commensurate with experience.

Key Responsibilities Data Engineering and Development
  • Design, build, and maintain scalable, efficient data pipelines for ETL/EL T processes on AWS.
  • Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
  • Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
  • Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
  • Utilize workflow orchestration tools such as Temporal for pipeline automation.
Healthcare Data Expertise
  • Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards.
  • Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
  • Develop and maintain familiarity with FHIR data models and healthcare interoperability standards for seamless integration of healthcare data sources.
  • Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
Optimization and Innovation
  • Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
  • Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
  • Stay current with emerging trends in data engineering and healthcare technology, incorporating innovations into the data ecosystem.
Collaboration and Impact
  • Partner with data and engineering teams to ensure data is accessible and meets business requirements.
  • Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
  • Contribute to the design and implementation of secure, scalable, and efficient data architecture on AWS.
Required Qualifications
  • Must be US based. No foreign applicants will be considered.
  • Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure.
  • Experience with tools like dbt and Spark/PySpark for data transformation and modeling.
  • Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models.
  • Knowledge of data warehousing and workflow orchestration tools.
Preferred Skills
  • Strong understanding of healthcare data standards, including FHIR, HL7 and CQL.
  • Hands-on experience with data modeling, normalization, and schema design for complex datasets.
  • Experience designing and building scalable, production-grade data pipelines using orchestration tools such as Airflow, Dagster, or Temporal.
  • Hands-on experience with AWS data and compute services, including Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies.
  • Strong experience with data transformation and distributed processing, using tools such as dbt, Spark/PySpark, and Pandas.
  • Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data.
  • Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments.
  • Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets.
  • Experience with Infrastructure as Code (IaC) tools such as Terraform.
What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced, innovative environment.
  • Professional growth and development opportunities.
  • Collaborative and supportive team culture.
  • Chance to make a meaningful impact on the healthcare industry.
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