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Python Sql Jobs in Hawaii (NOW HIRING)

Servco

Data Engineer II

Honolulu, HI · On-site

$110K - $132K/yr

Data Engineers should be skilled coders with high proficiency in Python and SQL, capable of writing clean, efficient, well-documented code and troubleshooting issues across pipelines and platforms.

Servco

Data Engineer II

Honolulu, HI

$113K - $135K/yr

Data Engineers should be skilled coders with high proficiency in Python and SQL, capable of writing clean, efficient, well-documented code and troubleshooting issues across pipelines and platforms.

Markesman Group

DNEA/DS (Hawaii)

Wahiawa, HI

... Python, SQL, Pandas, Jupyter, or similar analytic tools Experience supporting NSA, USCYBERCOM, INDOPACOM, or Intelligence Community missions Experience identifying patterns, anomalies, or trends ...

Markesman Group

DNEA/DS (Hawaii)

Wahiawa, HI

Familiarity with Python, SQL, Pandas, Jupyter, or similar analytic tools * Experience supporting NSA, USCYBERCOM, INDOPACOM, or Intelligence Community missions * Experience identifying patterns ...

Danaher

Digital Analyst Internships

Mililani, HI

$95K - $112K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Danaher

Digital Analyst Internships

Pearl City, HI

$102K - $120K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Danaher

Digital Analyst Internships

Honolulu, HI

$97K - $115K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Danaher

Digital Analyst Internships

Waipahu, HI

$98K - $116K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Parsons

Data Scientist TS/SCI CI POLY

Honolulu, HI

$88K - $154K/yr

Proficiency in programming languages such as Python, R, or SQL. * Familiarity with data visualization tools (e.g., matplotlib) and big data technologies (e.g., Pandas, Spark). * Capable of ...

FocusKPI

Marketing Operations Analyst

Mililani, HI

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Honolulu, HI

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Waipahu, HI

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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How much do python sql jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python sql in Hawaii is $60.91, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $69.18 per hour, depending on experience, location, and employer.

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.

Does SQL work well with Python?

Python is widely used for working with SQL databases, with libraries like sqlite3, SQLAlchemy, and pandas enabling seamless integration. These tools allow Python scripts to execute queries, manage data, and automate database operations efficiently, making SQL and Python a common combination for data analysis and backend development.

What jobs can I do with Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles involve data manipulation, database management, automation, and developing data-driven applications, often requiring knowledge of related tools like pandas, SQL queries, and data visualization software.

What is a Python SQL job?

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 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 enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What is the salary of SQL and Python?

Salaries for roles involving SQL and Python vary based on experience, location, and industry, but typically range from $70,000 to $120,000 annually for mid-level positions. Entry-level roles may start around $60,000, while experienced developers or data scientists can earn over $130,000. Skills in data analysis, database management, and programming are highly valued in these roles.
What job categories do people searching Python Sql jobs in Hawaii look for? The top searched job categories for Python Sql jobs in Hawaii are:
What cities in Hawaii are hiring for Python Sql jobs? Cities in Hawaii with the most Python Sql job openings:
Python Sql jobs near you
Infographic showing various Python Sql job openings in Hawaii as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $126,683 per year, or $60.9 per hour.
Data Engineer II

Data Engineer II

Servco

Honolulu, HI • On-site

$110K - $132K/yr

Full-time

Posted 12 days ago

Job description

Servco's Data Engineers play a crucial role in ensuring the organization has the data it needs to make informed business decisions. This includes acquiring data from a variety of sources-internal systems as well as external APIs-and transforming, modeling, and curating it so it's reliable and usable for downstream analytics and reporting.
This role requires a strong understanding of DataOps practices and the ability to operate in a cloud-first, code-first, agile environment. Data Engineers in this role are expected to work with technologies such as Databricks for data warehousing, data modeling, and orchestration, as well as Cloud Functions for serverless computing and automation. Data Engineers should be skilled coders with high proficiency in Python and SQL, capable of writing clean, efficient, well-documented code and troubleshooting issues across pipelines and platforms.
Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities that turn prepared data into actionable insights. This role is responsible for sourcing, preparing, and serving data in a way that enables those analytics workflows to operate confidently and at scale.
This position is primarily on-site in Honolulu and is not a remote role. It allows up to one day per week working from home.
QUALIFICATIONS:
  • Bachelors in Computer Science, Information, Data Science, Business Analytics or Information Management (not required but preferred)
  • 4-7 years of experience in the following areas, all in an individual contributor capacity:
  • Process Mining & Stakeholder Collaboration
    • Experience with process mining and collaborating with stakeholders to understand their needs and identify opportunities for process improvement.
  • Programming & Software Development Practices
    • Experience with Python programming, including libraries such as NumPy, Pandas, and Selenium, as well as testing and debugging using tools such as PyTest.
    • Experience with SQL programming, writing efficient queries and stored procedures.
    • Experience with version control systems such as Git (including merging and resolving conflicts) and containers such as Docker.
  • Data Engineering (Integration, Modeling & Warehousing)
    • Experience working with database integrations and designing systems that integrate data from multiple sources.
    • Experience designing and implementing logical and physical data models and applying data warehousing best practices such as dimensional modeling, star and snowflake schemas.
    • Experience creating and maintaining dbt documentation using Jinja templates.
    • Experience with day-to-day database administration, including backup and recovery, performance tuning, and security management.
  • Cloud, Infrastructure & Architecture
    • Experience working with cloud-based services, specifically Azure and Databricks.
    • Experience using Infrastructure as Code (IaC) tools such as Terraform.
    • Experience managing and maintaining analytics infrastructure, including data pipelines and storage systems, and supporting incident response procedures.
    • Experience designing and implementing systems using a microservices architecture.
  • Governance & Security
    • Experience implementing policies and procedures to ensure the availability, usability, integrity, and security of data throughout its lifecycle, including data lineage, data quality, data privacy, and compliance requirements.
  • Technical Documentation
    • Experience creating and maintaining technical documentation such as project plans, requirements, design documents, and test plans.

Skills:
  • Process Mining
    • Ability to understand and document business processes, including identifying process inputs, outputs, and key stakeholders.
  • Programming (Python & SQL)
    • Ability to work with and integrate APIs and other external systems.
    • Ability to write efficient and optimized SQL queries and stored procedures.
  • Data Engineering (Orchestration, Modeling & Warehousing)
    • Experience designing and implementing scalable, reliable, and maintainable data pipelines.
    • Ability to identify and resolve data migration and integration issues, including data loss, corruption, and duplication.
    • Proficient in analyzing business requirements to determine database design and implement effective data models and transformations.
    • Ability to abstract data from its physical location and structure, allowing users to access and use the data without knowing where it resides or how it is stored.
    • Ability to design and implement efficient, scalable database schemas.
    • Ability to replicate data to multiple servers for disaster recovery, reporting, or data warehousing purposes.
  • Cloud & Software Development Practices
    • Proficient with CI/CD pipelines and tools.
    • Strong understanding of software design patterns and best practices for code organization, testing, and maintenance.
    • Knowledge of serverless architecture and ability to build scalable and fault-tolerant systems using cloud-native technologies.
    • Knowledge of cloud-native design principles, including auto-scaling, load balancing, and managed services.
  • Governance & Security
    • Knowledge of data security best practices and ability to implement them in a cloud-based environment.
  • Infrastructure & Operations
    • Knowledge of cloud cost optimization techniques and ability to implement them to reduce cost.
  • Technical Communication
    • Strong verbal and written communication skills, and the ability to effectively communicate project status, issues, and risks to stakeholders.

Licenses and Certifications:
  • Databricks Data Engineer Associate Certification preferred, but not required
  • Databricks Data Engineer Professional Certification preferred, but not required

At Servco, we're committed to providing valuable mobility solutions to empower people through the freedom of movement and opportunity. From Australia to California, and of course, Hawaii, Team Servco is a collective of over 2,000 like-minded individuals guided by our four Core Values of Respect, Service, Teamwork, and Innovation. For over 100 years, we have been dedicated to superior service, to both our customers and team members. We look forward to helping you create Life: Moments that matter to you.
Interested?
Visit www.servco.com/careers to apply online.
Equal Opportunity Employer and Drug-Free Workplace
Pay Range: $82,700.00 - $125,740.00 per year

Apply