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Python Sql Jobs in Cary, NC (NOW HIRING)

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

This individual will contribute to the development and support of scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

This individual will build and optimize scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies. As part of our growing ...

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 processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions. * Experience utilizing modern data engineering tools and frameworks such as ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions. * Experience utilizing modern data engineering tools and frameworks such as ...

Mentis Systems

Hardware Test Engineer

Durham, NC · On-site

Develop statistical test methods using LabVIEW, Python, SQL, and Minitab. Data Acquisition & Analysis * Build integrated DAQ systems for sensors, motion control, communication technologies, and ...

Sonsoft Inc

Oracle Powershell, PL/SQL

Cary, NC · On-site

$47 - $59.25/hr

At least 6 years of experience of Oracle Powershell, PL/SQL, Perl * At least 4 years experience of ... Knowledge and experience in Python. * At least 4 years of experience in Project life cycle ...

Sonsoft Inc

Oracle Powershell & PL/SQL

Cary, NC · On-site

$47 - $59.25/hr

At least 6 years of experience of Oracle Powershell, PL/SQL, Perl * At least 4 years experience of ... Knowledge and experience in Python * At least 4 years of experience in Project life cycle ...

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Showing results 21-40

All JobsPython Sql JobsPython Sql Jobs in Cary, NC

Python Sql information

See Cary, NC salary details

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How much do python sql jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python sql in Cary, NC is $54.31, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.68 per hour, depending on experience, location, and employer.

What is a Python SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What are the key skills and qualifications needed to thrive in the Python SQL position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

What are popular job titles related to Python Sql jobs in Cary, NC?

For Python Sql jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Cary, NC look for?

The top searched job categories for Python Sql jobs in Cary, NC are:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Cary, NC as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,960 per year, or $54.3 per hour.

Lead Data Engineer

First Citizens Bank

Raleigh, NC • On-site

$111K - $133K/yr

Full-time

Re-posted 13 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

Overview
This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida.
We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.
The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.
Responsibilities
The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.
  • Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
  • Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
  • Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
  • Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
  • Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
  • Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
  • Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
  • Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
  • Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
  • Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Qualifications
Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 10 years of experience in the same areas.
Preferred Qualifications
  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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