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Python Sql Developer Jobs (NOW HIRING)

SQL Developer

Palm Beach Gardens, FL · On-site +1

$42.75 - $58.75/hr

Job#: 3035467 SQL Developer Location: Palm Beach Gardens, Florida (On-site) Employment Type ... Experience with Object-Oriented Programming (OOP) or other scripting languages like Python.

Company Description First IT Solutions Excellent hands on skills in Java and Python with strong Core Java skills. Very good SQL / Netezza skill. (Netezza is good to have) Qualifications Bachelor's or ...

Company Description First IT Solutions Excellent hands on skills in Java and Python with Web development skills in HTML/CSS/JavaScript. Has understanding of SQL. Qualifications Bachelor's or Master ...

Senior SQL Developer

Costa Mesa, CA · On-site

$150K - $170K/yr

We are seeking a strong skilled SQL developer with python scripting experience in the healthcare industry. The ideal candidate should have several years of experience in data analysis and data ...

Python Developer - AWS - ZL

Reston, VA · Hybrid

$52.25 - $72/hr

Python * SQL * AWS Data Services Experience: 8+ years overall in Software Engineering disciplines, preferably in the financial services industry 2-3 years of experience in AI/ML engineering roles ...

Company Description First IT Solutions Excellent hands on skills in Java and Python with strong Core Java skills. Very good SQL / Netezza skill. (Netezza is good to have) Qualifications Bachelor's or ...

IBM iseries DB2 SQL Developer

Houston, TX · On-site

$43.25 - $59.25/hr

IBM iseries DB2 SQL Developer Position Responsibilities DB2 Advanced SQL (Stored Procedures ... python, microservices, VS code IDE development * + git source control and integration Skills: SQL ...

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

NAVA Software solutions is looking for a Azure SQL Developer Details: ETL w/T-SQL and Azure ... TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in ...

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Python SQL Developer information

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How much do python sql developer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python sql developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python SQL Developer job?

A Python SQL Developer is responsible for designing, developing, and maintaining database-driven applications using Python and SQL. They write and optimize SQL queries, manage databases, and integrate Python scripts for data processing, automation, and reporting. Their role often involves working with frameworks like Pandas, Flask, or Django to build data-intensive applications. Additionally, they ensure data integrity, improve database performance, and collaborate with data analysts and engineers to meet business needs.

What are the typical day-to-day responsibilities of a Python SQL Developer?

As a Python SQL Developer, your daily tasks often include designing, developing, and maintaining back-end code in Python to interact with SQL databases, writing complex queries to extract and manipulate data, and collaborating with data analysts, software engineers, and other team members. You may also be responsible for optimizing database performance, automating workflows, and troubleshooting issues as they arise. Regular communication with stakeholders is common to ensure project requirements are met and data solutions align with business goals. This role provides the opportunity to work on challenging technical problems while contributing directly to a company’s data infrastructure.

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

To thrive as a Python SQL Developer, you need strong programming skills in Python and proficiency in writing and optimizing SQL queries, backed by a relevant degree or equivalent experience. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, as well as tools such as Git and data visualization libraries, is often required; certifications like Microsoft Certified: Azure Data Fundamentals can be advantageous. Strong analytical thinking, problem-solving skills, and clear communication are important soft skills, as is the ability to collaborate on cross-functional teams. These skills ensure you can efficiently build, maintain, and optimize data-driven applications that support the organization's technology needs.

What are the most commonly searched types of Python Sql Developer jobs? The most popular types of Python Sql Developer jobs are:
What states have the most Python Sql Developer jobs? States with the most job openings for Python Sql Developer jobs include:
Infographic showing various Python Sql Developer job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
SQL Developer

SQL Developer

Core Software Technologies Inc.

Trenton, NJ • On-site

$50 - $65/hr

Contractor

Posted 18 days ago


Job description

Strong SQL  Developer with an understanding of Data Build Tool (DBT)

Responsibilities:

Data Transformation and Modeling:
  • Design and implement data transformations and models using data to create structured, cleaned, and aggregated datasets.
  • Develop and maintain data models that accurately represent business logic and data requirements.
 SQL Expertise:
  •   Write and optimize SQL queries within dbt to extract, manipulate, and join data from various sources (e.g., databases, APIs, flat files).
  •  Ensure SQL code follows best practices for readability, performance, and maintainability.
Version Control:
  •   Use version control systems (e.g., Git) to manage dbt codebase, enabling collaborative development and tracking changes over time.
  •   Collaborate with data engineers and analysts to coordinate code changes.
Testing and Documentation:
  •   Implement unit tests within dbt to verify the accuracy and reliability of data transformations.
  •   Document dbt models, data lineage, and transformations to facilitate understanding and collaboration.
Automation:
  •  Schedule and automate dbt runs to keep data models up-to-date and synchronized with source systems.
  • Implement data orchestration and scheduling as needed.
Data Quality Assurance:
  •  Develop and enforce data quality checks and validations within dbt to identify and rectify data issues.
  •   Monitor data quality and integrity, responding to anomalies or discrepancies.
Performance Optimization:
  • Optimize dbt models and queries for performance, identifying and addressing bottlenecks.
  • Analyze and fine-tune data processing pipelines to meet performance requirements.

Collaboration:
  • Collaborate closely with data engineers, data analysts, and business stakeholders to understand data requirements and deliver data solutions.
  • Participate in cross-functional teams and contribute to data-related projects.
 
Security and Compliance:
  • Ensure data security and compliance with relevant data protection regulations (e.g., GDPR, HIPAA) through appropriate data handling practices.
Knowledge Sharing:
  • Share knowledge of dbt best practices and data modeling techniques with team members.
  • Provide training and support to data analysts and other users of dbt.
 
Qualifications:
  • Bachelor's or master's degree in computer science, data science, or a related field.
  • Strong proficiency in SQL and experience working with relational databases.
  • 3+ years of experience using dbt for data transformation and modeling in a data warehouse environment (e.g., Snowflake, BigQuery, Redshift).
  • 7+ years of experience building business rules using a business rules engine similar to dbt
  • Familiarity with version control systems (e.g., Git) and code collaboration workflows.
  • Excellent data analysis and problem-solving skills.
  • Strong attention to detail and a commitment to data quality.
  • Understanding of data warehousing concepts and best practices.
  • Knowledge of data governance and data security principles.
  • Effective communication and collaboration skills to work with diverse teams.
  • Experience with other data tools and languages (e.g., Python, R, Looker) is a plus.