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Junior Python Sql Developer Jobs in Michigan (NOW HIRING)

Sr. Data Engineer

East Lansing, MI · On-site

$110K - $132K/yr

... junior teams would be a good fit. • We mainly need someone who can communicate well, present ... Nice to Have: • Python for data processing. Skill Set Azure, SQL, T-SQL, ETL, ELT, MS Fabric ...

Senior Azure Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Senior Azure Data Engineer Location: Ann Arbor, MI 48105 (Onsite) Duration: 09 Months Must Have ... Expertise in Azure, Databricks, Spark, Python, SQL, and enterprise grade solution implementation is ...

... mentoring junior engineers while ensuring high-quality code and adherence to best practices ... SQL) databases • 8+ years of experience using Git to contribute code as part of a team of ...

Python Developer- Troy, MI

Troy, MI · On-site

$47 - $65/hr

Job- Python Developer Location- Troy, MI Overview: We are a specialized core enablement team ... Previous backend development experience related to applications associated with databases- SQL (e.g ...

Expert SQL developer (TSQL, SQL Server 2008 and above) skills * Expert or Mid-level Spotfire skills (good knowledge of Iron Python and Spotfire API is a must) Additional Information If you're ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop data transformation logic using Python, SQL, and DBT/Dataform * Help ensure data quality ... Data Engineering / Data Pipeline Development Preferred Skills * BigQuery * Dataflow * Pub/Sub * DBT ...

Role: Jr. Full Stack Developer Location: Okemos, MI or Farmington Hills, MI (Hybrid) Duration ... SQL, PL/SQL * Oracle Database Nice to have technical skills: * Angular / Typescript / Node

Systems Analyst Programmer

Pontiac, MI · On-site

$90K - $110K/yr

Are you a seasoned and dynamic Systems Analyst or Mainframe Programmer looking to take the next ... Write and support applications using Business BASIC, QuickBASIC, COBOL, Visual Basic, Python, SQL ...

Sr. and Mid-Level ETL/Azure Data Engineer Warren, MI Long term The interview process will be 1 ... Python, SQL, .NET, REST API, Angular SQL Server, PostgreSQL, SQL Server Integration Services (SSIS) ...

... PHP, Python, Ruby, or something else • Working knowledge of modern software development ... Symfony, Rails) • Strong background in SQL and relational databases • Background and opinions ...

Mentor junior engineers and contribute to a culture of technical excellence and innovation Basic ... Proficiency in Python, SQL, and data visualization tools * Ability to envision, adapt, and enhance ...

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Showing results 1-20

Junior Python Sql Developer information

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

AspectJunior Python Sql DeveloperData Analyst
Required SkillsPython, SQL, basic data manipulationSQL, Excel, data visualization
CertificationsOptional Python/SQL certificationsData analysis or visualization certifications
Work EnvironmentDevelopment teams, database managementBusiness units, reporting teams
Industry UsageTech, finance, healthcareMarketing, finance, consulting

Junior Python SQL Developers focus on coding, database querying, and scripting to support software and data infrastructure. Data Analysts interpret data, create reports, and visualize insights. While both roles require SQL skills, Python is more central for developers, whereas analysts emphasize data presentation. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What job categories do people searching Junior Python Sql Developer jobs in Michigan look for? The top searched job categories for Junior Python Sql Developer jobs in Michigan are:
Data Engineer (Python)

Data Engineer (Python)

Noblesoft Technologies

Auburn Hills, MI • On-site

$108K - $130K/yr

Contractor

Posted 23 days ago


Job description

Job Role: Senior Data Engineer (Python)

Location: Auburn Hills, MI
 

Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration

Overall Experience: 8+ years of relevant experience

JOB REQUIREMENTS -

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Includes all above skills, plus the following;
·         Minimum of 7+ years overall IT experience
·         Experienced in waterfall, iterative, and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and using remote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Unique Skills

• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools