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Python Sql Jobs in Boston, MA (NOW HIRING)

AI Engineer Co-Op

Boston, MA · On-site

$30 - $34/hr

CO-OP/Intern Cycle: January - June 2027 Anticipated Start & End Date: January 4 - June 25, 2027 (dates are flexible based on school requirements) Location: Boston, MA Office Requirements: 3-4 days in

BI Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

We are currently hiring a Full-Time BI Data Engineer II in Boston, MA. Join our Boston-based Data and Analytics (DnA) team and play a key role in building and evolving our Enterprise Data Platform

Business Analyst / Technologist for Fixed Income At an expert level lead Fixed Income Trading technology initiatives to introduce new capabilities in alignment with product owner's vision and

Job Summary: We are seeking an Oracle Database Administrator to join BNY's Data & Analytics Solutions (D&A) Database Operations team. This role is responsible for supporting and administering

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

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.

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

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.

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

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.

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

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.

Showing results 21-40

Python Sql information

See Boston, MA salary details

$14

$63

$93

How much do python sql jobs pay per hour?

As of Sep 10, 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:

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.

Senior Manager, Data Analytics and Insights

Boston, MA • On-site

Other

Posted 23 days ago


Key responsibilities

  • Performs end-to-end reporting and analytics operations to deliver timely, accurate, and reliable analytical outputs.

  • Ensures data availability, quality, and process stability by monitoring inputs, workflows, and outputs.

  • Responds to complex, ad-hoc analytical requests by providing data-driven insights and support for strategic initiatives.


Job description

## Senior Manager, Data Analytics and InsightsApplylocations: Boston, MAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 22, 2026 (30+ days left to apply)job requisition id: 2133586## ## Job Description:**Note: Fidelity will not provide immigration sponsorship for this position.****Position Description**:Analyzes and builds equity datasets and analytical outputs used across quantitative research, risk modeling, and performance attribution. Calculates and applies a broad range of equity analytics, including portfolio risk, return attribution, EPS, fundamental ratings, and fundamental equity factors, across granular and aggregated analytical layers. Maintains complex SQL‐based transformations, analytical datasets, and factor‐model components that serve as foundational inputs to quantitative research and performance attribution algorithms. Develops diagnostic routines, data‐profiling scripts, and integrity checks to monitor computational accuracy, detect anomalies, and ensure deterministic analytical outputs across distributed systems. Implements and evolves data domains, model enhancements, and analytical capabilities by architecting ingestion frameworks, integrating vendor datasets, and optimizing storage and computer environments for high‐volume model execution.**Primary Responsibilities:*** Performs end‐to‐end reporting and analytics operations, ensuring timely, accurate, and reliable delivery of daily, weekly, monthly, and ad‐hoc analytical outputs across key business areas.* Ensures data availability, quality, and process stability, monitoring inputs, workflows, and analytical outputs to maintain high standards of data integrity and reporting accuracy.* Responds to complex, ad‐hoc analytical requests, providing data-driven insights and support for strategic initiatives, research projects, and leadership priorities.* Develops and enhances analytical tools, dashboards, and visualizations to communicate trends, business drivers, and performance insights to a wide range of stakeholders.* Designs, improves, and automates data and analytical processes, including developing new calculations, identifying data anomalies, and creating new reporting capabilities.* Participates in multiple concurrent projects, assists with planning, prioritization, resource co-ordination, risk assessment, and timely delivery in a fast‐paced environment.* Acts as a primary liaison across business partners, technology teams, research groups, and external vendors, ensuring alignment and clear communication throughout the analytics ecosystem.* Troubleshoots and resolves data or technology issues, ensuring continuity in analytical pro-duction and delivery of high‐quality outputs.* Provides analytical and technical guidance to senior leadership, contributing to strategic planning materials, prototypes, and recommendations.* Mentors and develops junior team members.**Education and Experience**:Bachelor’s degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.Or, alternatively, Master’s degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.**Skills and Knowledge**:Candidate must also possess:* Demonstrated Expertise (DE) performing quantitative investment research and financial data analysis, including constructing and analyzing security- and portfolio-level datasets; and analyzes and structures earnings-per-share estimates, and analyst forecasts, returns, and active weights, using Python, R, and SQL.* DE conducting portfolio performance attribution and risk analysis, including Brinson attribution, decomposition of portfolio returns, evaluation of benchmark-relative performance, analysis of factor exposures and sensitivities, and measurement of portfolio-level risk metrics (tracking error and beta), using Python, SQL, FactSet Portfolio Analysis Tool, and Barra Portfolio Manager.* DE designing, developing, and implementing advanced analytical tools, data pipelines, and multi-factor models to support stock selections and investment decision making, including data modeling, automation of recurring calculations, validation of inputs and outputs, and building interactive dashboards and visualizations using Python, SQL, Tableau, and Excel.* DE sourcing, validating, and integrating market, fundamental, and reference data to support in-vestment and risk analysis, including working with equity and portfolio datasets, reconciling vendor data, and ensuring data quality and consistency using Bloomberg and FactSet platforms.Salary: $131,225.00 to $166,000.00/year.#PE1M2#LI-DNIFidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.## ## Certifications:## ## Category:## Business Analytics and InsightsPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.### About UsAt Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.Fidelity Investments is an equal opportunity employer. #J-18808-Ljbffr