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Python Sql Jobs in Maryland (NOW HIRING)

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines. * Track data issues and work with team leads from discovery to ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies * Experience with healthcare datasets, including Medicare, Medicaid, claims, provider, beneficiary, or ...

Leidos

Python Software Engineer

Gaithersburg, MD · Hybrid

... PL/SQL and Data Modeling). * Brief management, customer, team, or vendors using written or oral ... Experience developing modern Python applications using object-oriented design principles, type ...

Leidos

Python Software Engineer

Gaithersburg, MD · On-site

... PL/SQL and Data Modeling). * Brief management, customer, team, or vendors using written or oral ... Experience developing modern Python applications using object-oriented design principles, type ...

ManTech

CNO Python Software Engineer

Hanover, MD · On-site

$114K - $190K/yr

MANTECH seeks a motivated, career- and customer-oriented CNO Python Software Engineer to join our ... Experience with SQL and NoSQL databases * Experience with Subversion/GIT * Experience with ...

Set of X

CNO Python Developer

Fort George G Meade, MD · On-site

$56 - $77.25/hr

Because who you work with matters. _____ As a CNO Python Developer, you will design and develop new ... Experience with SQL and NoSQL databases * Experience with subversion/GIT * Experience with ...

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How much do python sql jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python sql in Maryland is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.62 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 the most commonly searched types of Python Sql jobs in Maryland? The most popular types of Python Sql jobs in Maryland are:
What are popular job titles related to Python Sql jobs in Maryland? For Python Sql jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Python Sql jobs in Maryland look for? The top searched job categories for Python Sql jobs in Maryland are:
What cities in Maryland are hiring for Python Sql jobs? Cities in Maryland with the most Python Sql job openings:
Python Sql jobs near you
Infographic showing various Python Sql job openings in Maryland as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $118,340 per year, or $56.9 per hour.
Data QA Engineer

Data QA Engineer

Ex Parte, Inc

Bethesda, MD • On-site, Remote

$122K - $146K/yr

Full-time

Re-posted yesterday

Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
Responsibilities
  • Take ownership of end to end data quality
    • Understand and Contribute to the event model design
    • Build and automate testing frameworks around data ingestion pipelines.
    • Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle.
    • Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines.
    • Track data issues and work with team leads from discovery to resolution.
  • Collaborate with the analytic teams to conduct data quality investigations, improve automation and tools.
  • Review current tools and enhance them to help with data integrity.

Qualifications
Minimum Qualifications
  • 5+ years of work experience in QA, preferably in data or relevant space
  • Demonstrable knowledge, experience, skill, and proficiency with the following:
    • Scrum/Agile methodologies
    • SDLC
    • Python (at least reading)
    • SQL
  • Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing
  • Must be self-motivated, able to work independently, and thrive in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide variety of functional areas
  • Excellent verbal and written communication skills

Preferred Qualifications
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Use of one of the following vendor reporting solutions: PowerBI or Tableau
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git).

Additional Information
All your information will be kept confidential according to EEO guidelines.

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