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Python Data Developer Jobs in Massachusetts (NOW HIRING)

Dlapiper

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Capital One

Lead Data Engineer (Python, AWS)

Cambridge, MA · On-site

$125K - $150K/yr

Lead Data Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

StradIT

Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... data pipelines, automation frameworks, and integration solutions. o Support AI/ML initiatives by ...

Expert Technology Services

Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

... data pipelines, automation frameworks, and integration solutions. - Support AI/ML initiatives by ... , or related field. - 4-6 years of hands-on Python software development experience. - Strong ...

New

Spyglass Partners, LLC

Sr. Data Engineer

Westwood, MA · On-site

$128K - $153K/yr

They are seeking a Sr. Data Engineer who will be responsible for data validation, data response, data engineering, data querying, and utilizing SQL Server databases along with Python and PySpark.

Arnica

Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

... Python Developer to contribute to their product development ... The role involves creating new features, collaborating with the data team, and maintaining existing ...

Stellar IT Group

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a ... Experience with Git/Azure DevOps, Confluence, JIRA . * Knowledge of data modeling, metadata ...

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Python Data Developer information

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

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

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.
What are popular job titles related to Python Data Developer jobs in Massachusetts? For Python Data Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Massachusetts look for? The top searched job categories for Python Data Developer jobs in Massachusetts are:
Python Data Developer jobs near you

AIA-MLEU-Data Engineer-DATA CHAPTER LEADER

Avani Technology Solutions, Inc.

Andover, MA • On-site

Contractor

Re-posted 19 days ago

Job description

The Data Services Data Engineer will develop maintain and improve of data delivery through the North America (NAM) Data Warehouse platforms. 3.Experience 3to7yrs 4.Required Skills Technical Skills- AWS Services Domain Skills- 5.Nice to have skills Techincal Skills- Python Data Archival and Retention Domain Skills- 6.Technology Analytics 7.Shift Day 8.Roles & Responsibilities Drive Architectural plans and implementation for future data storage reporting and analytics solutions Align architecture with business requirements Direct the data acquisition from different sources Develop maintain and improve data set processes Use one or several programming languages and cloud technologies to maintain data Warehouse Database Systems Identify ways to Improve data readability quality and efficiency Conduct research to answer business/industry questions and necessities Prepare data for consumption Prepare data for predictive and prescriptive modeling Find hidden patterns using data Use data to discover tasks that can be automated Interact with Stakeholders for Requirement definitions provide updates and recommendations Work collaboratively with other data positions to identify opportunities or problems Monitor and Troubleshoot operational data issues in data pipelines 9.Job Location Primary: USMAANDC01-Andover - MA USA CLT
Hours : 8:00am to 5:00pm
Education :
Additional Job Details :

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