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Python Sql Jobs in Boston, MA (NOW HIRING)

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and ...

1 point system

Database Administrator II

Boston, MA · On-site

Develop and maintain automation solutions utilizing Shell, Python, SQL, and PL/SQL scripting to improve operational efficiency and reduce manual effort Issue Resolution: Respond to client requests ...

Motion Recruitment

Staff Data Engineer

Boston, MA · Remote

The environment leverages Python, SQL, AWS, Redshift, Glue, Lambda, S3, Airflow, and modern data engineering practices to support both operational and analytical workloads. This is a highly visible ...

Horizontal Talent

Data Engineer

Boston, MA · On-site +1

$31 - $64/hr

This hybrid role in Boston offers the chance to work on impactful data solutions using tools like Python, SQL, dbt, Snowflake, and AWS Airflow. Responsibilities * Design, develop, and maintain data ...

Audax Group

AI Engineer Co-Op

Boston, MA · On-site

$30 - $34/hr

Code within an IDE environment (VS Code) with Python, SQL, and Git. * Utilize cloud environment services to assist with AI application development and deployment. * Understand and experiment with ...

State Street Corporation

IT Business Analysis

Quincy, MA · On-site

$146K - $160K/yr

... using Python/SQL queries and write the functional specification documentation; working on multiple initiatives simultaneously and running meetings to explain and walk through business needs ...

Compunnel

Java/Python developer w/ data

Wakefield, MA · On-site

... SQL Server, Aurora, DynamoDB, MongoDB, and Redis. • Hands-on experience with Infrastructure as Code tools such as Terraform and Ansible. • Strong understanding of CI/CD and DevOps practices using ...

Leader Bank

Business Intelligence Engineer

Arlington, MA · On-site

$85K - $110K/yr

Utilize Python, SQL, and JavaScript to automate reporting, data transformations, and analytics workflows. * Collaborate with Data Engineers to enhance data ingestion, transformation, and governance ...

Leader Bank

$46 - $59.50/hr

Utilize Python, SQL, and JavaScript to automate reporting, data transformations, and analytics workflows. * Collaborate with Data Engineers to enhance data ingestion, transformation, and governance ...

Athari

Data Scientist

Lexington, MA · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

Infosys Limited

Java Python Developer

Boston, MA · On-site

Technology|Microservices|Microservices API Management Technical Skills 4 Technology|Oracle|PL/SQL ... Strong programming skills in Python and Java. * Hands-on experience with LangChain, LangGraph ...

LEADER BANK

Business Intelligence Engineer

Arlington, MA · On-site

$57.75 - $75/hr

Utilize Python, SQL, and JavaScript to automate reporting, data transformations, and analytics workflows.Collaborate with Data Engineers to enhance data ingestion, transformation, and governance ...

Harvard University

Programmer

Boston, MA · On-site

Maintain databases using R, Python, and SQL in collaboration with members of the research team * Create and link customized databases and analytic datasets in UNIX environments * Assist in the ...

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How much do python sql jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python sql in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 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 the most commonly searched types of Python Sql jobs in Boston, MA?

The most popular types of Python Sql jobs in Boston, MA are:

What are popular job titles related to Python Sql jobs in Boston, MA?

For Python Sql jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Boston, MA look for?

The top searched job categories for Python Sql jobs in Boston, MA are:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Boston, MA as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $132,468 per year, or $63.7 per hour.

AI/ML Engineer

Boston, MA • On-site

Winaxis
IT Services • 11 - 50 employees
Learn more about Winaxisexternal

$124K - $149K/yr

Full-time

Re-posted 9 days ago

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)