ZipRecruiter

Log In

1

Senior Python Sql Developer Jobs in Saint Paul, MN

Shipt, Inc.

Senior Software Engineer

Minneapolis, MN · On-site

$95.80 - $170/hr

... using Golang, Python, Redis, Postgres, and Kafka in a microservices architecture. You will ... You are comfortable working with SQL databases (Postgres preferred) and can write SQL queries. You ...

Collabera

Software Engineer-Sr

Eagan, MN

$124K - $164K/yr

... Python, SQL Skills reflecting team building, flexibility, and customer service Proven experience working in fast-paced software development environment, leveraging core Qualifications Education and ...

Seagate Technology

Equipment Engineer II

Bloomington, MN · On-site

Equipment Engineering is the backbone of Seagate's wafer manufacturing excellence. Our team ensures ... Deploy data collection systems and integrate tools using software (e.g., Python, SQL, AI frameworks ...

Seagate Technology

Equipment Engineer II

Bloomington, MN · On-site

Equipment Engineering is the backbone of Seagate's wafer manufacturing excellence. Our team ensures ... Deploy data collection systems and integrate tools using software (e.g., Python, SQL, AI frameworks ...

Expert Technology Services

Sr Java Developer

Minnetonka, MN · On-site

$58.25 - $74.50/hr

... SQL databases such as Oracle, SQL Server, PostgreSQL, or similar systems. - Utilize Git-based ... Python. - (Preferred) Develop and deploy applications on cloud platforms (Azure, AWS, GCP ...

UMR

Associate Data | , Minnesota

Minnetonka, MN · On-site

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and ... Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage ...

divvyDOSE

Associate Data | , Minnesota

Minnetonka, MN · On-site

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and ... Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage ...

previous page

Showing results 41-60

All JobsPython Sql Developer JobsSenior Python Sql Developer JobsSenior Python Sql Developer Jobs in Saint Paul, MN

Senior Python Sql Developer information

See Saint Paul, MN salary details

$55.6K

$143.6K

$197.2K

How much do senior python sql developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior python sql developer in Saint Paul, MN is $143,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $165,400.00 per year, depending on experience, location, and employer.

What is a senior Python SQL developer?

Senior Python SQL Developers are experienced professionals who design, develop, and maintain software applications using Python and SQL. They work on tasks such as building backend systems, managing databases, optimizing queries, and ensuring data integrity. These developers often collaborate with other engineers, data analysts, and stakeholders to deliver robust solutions. Their seniority implies advanced technical skills, leadership abilities, and a track record of successful project delivery.

What are the key skills and qualifications needed to thrive as a senior Python SQL developer?

To thrive as a Senior Python SQL Developer, you need advanced proficiency in Python programming, SQL query optimization, database design, and a relevant degree in computer science or a related field. Experience with frameworks like Django or Flask, familiarity with version control systems such as Git, and knowledge of relational databases like PostgreSQL or MySQL are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills ensure robust, scalable solutions and seamless data integration essential for business intelligence and application development.

What are some common challenges faced by senior Python SQL developers when managing large datasets, and how can they be addressed?

Senior Python SQL Developers often encounter challenges such as optimizing query performance, handling data integrity, and ensuring scalable data processing when working with large datasets. To address these issues, they frequently use advanced indexing, partitioning strategies, and efficient query design. Additionally, collaborating closely with data engineers and DBAs helps identify bottlenecks and implement best practices for database performance and maintainability. Regular code reviews and adopting automated testing also play a key role in maintaining robust data pipelines.

What is the difference between Senior Python Sql Developer vs Data Analyst?

AspectSenior Python Sql DeveloperData Analyst
Required SkillsPython, SQL, database management, scriptingSQL, data visualization, statistical analysis
Work EnvironmentSoftware development teams, IT departmentsBusiness units, research teams
CertificationsSQL certifications, Python certificationsData analysis certifications, Excel skills
Industry UsageTech, finance, healthcareMarketing, finance, consulting

The main difference between a Senior Python Sql Developer and a Data Analyst lies in their focus areas. The developer primarily builds and maintains data systems using Python and SQL, while the analyst interprets data to provide insights. Both roles require strong SQL skills and may share certifications, but their daily tasks and industry applications differ significantly.

What are popular job titles related to Senior Python Sql Developer jobs in Saint Paul, MN?

For Senior Python Sql Developer jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Senior Python Sql Developer jobs in Saint Paul, MN look for?

The top searched job categories for Senior Python Sql Developer jobs in Saint Paul, MN are:

Senior Python Sql Developer jobs near you
Infographic showing various Senior Python Sql Developer job openings in Saint Paul, MN as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $143,591 per year, or $69 per hour.

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Re-posted 28 days ago

Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.