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Python Sql Jobs in Hawaii (NOW HIRING)

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 ...

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 ...

Danaher

Digital Analyst Internships

Honolulu, HI · On-site

$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

Pearl City, HI · On-site

$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

Mililani, HI · On-site

$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

Waipahu, HI · On-site

$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 ...

FocusKPI

Marketing Operations Analyst

Mililani, HI · On-site

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 · On-site

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 · On-site

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

Pearl City, HI · On-site

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

National Capitol Contracting (NCC)

Be Seen First

Senior Data Scientist

Honolulu, HI · On-site

Extract, transform, and analyze data using SQL, Python, PostreSQL, and other data management tools. * Support data integration efforts across multiple systems and data sources including existing Data ...

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How much do python sql jobs pay per hour?

As of Jul 11, 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.

What jobs require Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles often involve data manipulation, automation, and database management, and may require familiarity with tools like pandas, SQL databases, 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 is the salary of Python and SQL?

The salary for roles involving Python and SQL varies based on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually for mid-level positions. Skills in data analysis, database management, and programming are highly valued in these roles.

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 can I do with Python and SQL?

A Python SQL developer can use Python to automate data processing, build data pipelines, and perform data analysis by connecting to databases using libraries like SQLAlchemy or pandas. They can write and optimize SQL queries to extract, transform, and load data, supporting data-driven decision-making and application development. Knowledge of database management systems and scripting skills are essential for these roles.
What are popular job titles related to Python Sql jobs in Hawaii? For Python Sql jobs in Hawaii, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $126,683 per year, or $60.9 per hour.
DNEA/DS (Hawaii)

DNEA/DS (Hawaii)

Markesman Group

Wahiawa, HI

Full-time

Re-posted 2 days ago

Job description

Position: Digital Network Exploitation Analyst / Data Scientist (DNEA/DS)

Location: Hawaii
Clearance: TS/SCI with CI Polygraph
Schedule: Monday–Friday (supporting operational requirements as needed)

Role Overview

The DNEA/DS supports cyber and intelligence missions through a combination of digital network exploitation analysis and data-driven analytical techniques. This role blends traditional DNEA tradecraft with data science methodologies to identify patterns, uncover intelligence opportunities, and support mission planning and execution. The analyst will work with large datasets, technical collection, and operational reporting to generate actionable intelligence and mission insights.

This is a "lite" blend role, ideal for candidates who have a foundation in digital network exploitation and an interest in applying analytical, scripting, and data-focused techniques to mission problems.

What You'll Do

  • Conduct digital network exploitation analysis to support operational and intelligence requirements
  • Analyze technical data, network information, and digital environments to identify intelligence opportunities
  • Correlate information from multiple sources to identify patterns, trends, and relationships
  • Support target development, operational planning, and mission assessments
  • Develop analytical products and reporting for operational and leadership audiences
  • Utilize scripting and data analysis techniques to process and evaluate large datasets
  • Collaborate with analysts, operators, and mission teams to support mission objectives
  • Assist in developing repeatable analytic workflows and data-driven methodologies

Required Experience

  • Experience supporting Digital Network Exploitation (DNE), cyber intelligence, SIGINT, or related mission areas
  • Experience analyzing technical data, network information, or digital environments
  • Experience developing intelligence products, operational reporting, or analytic assessments
  • Familiarity with scripting languages such as Python, Bash, or similar
  • Experience working with structured and unstructured data sources
  • Strong analytical and problem-solving skills
  • Ability to communicate technical findings clearly to technical and non-technical audiences
  • Active TS/SCI with CI Polygraph

Preferred Experience

  • Experience as a DNEA, TDNA, Cyber Intelligence Analyst, Technical Targeter, or Data Scientist
  • Experience with data analytics, visualization, or statistical analysis tools
  • Familiarity with Python, SQL, Pandas, Jupyter, or similar analytic tools
  • Experience supporting NSA, USCYBERCOM, INDOPACOM, or Intelligence Community missions
  • Experience identifying patterns, anomalies, or trends within large datasets
  • Knowledge of network protocols, internet infrastructure, and cyber threat methodologies
  • Experience applying data science techniques to operational or intelligence problems

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