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Senior Python Engineer Jobs in Delaware (NOW HIRING)

Senior Data Engineer (Hybrid)

Wilmington, DE · On-site

$102K - $139K/yr

Senior Data Engineer (Hybrid) Location: Wilmington, DE / Berwyn, PA Duration: 18 Months, quarterly ... Develop SQL and Python-based solutions to support enterprise data initiatives. * Reporting ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Python), and deploying custom and complex GenAI solutions and multi-agent GenAI systems in ...

Senior Data Engineer - Onsite

Wilmington, DE · On-site

$102K - $139K/yr

Senior Data Engineer - Onsite Location : Wilmington, DE Length :Long term Restriction: W2 Only ... Python * Apache Kafka Cloud & Technology Stack * Apache Spark * Java * AWS EKS * AWS EMR * AWS S3

New

Job Overview Symbotic is seeking a Senior Test Engineer (EE) to lead the development, deployment ... Develop and maintain automated test software and frameworks (Python preferred) for instrument ...

Job Title: Sr. Support Engineer - Discovery Location: Wilmington, DE Type: Contract The AWS ... Python) 3) Amazon Web Services (specifically EC2, S3 and AutoScaling) 4) Sun Grid Engine 5) ...

Job Title: Sr. Support Engineer - Discovery Location: Wilmington, DE Type: Contract The AWS ... Python) 3) Amazon Web Services (specifically EC2, S3 and AutoScaling) 4) Sun Grid Engine 5) ...

Showing results 21-40

Senior Python Engineer information

See Delaware salary details

$55K

$142.1K

$195.2K

How much do senior python engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for senior python engineer in Delaware is $142,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,600.00 and $163,600.00 per year, depending on experience, location, and employer.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.

What are the most commonly searched types of Python Engineer jobs in Delaware?

The most popular types of Python Engineer jobs in Delaware are:

What are popular job titles related to Senior Python Engineer jobs in Delaware?

For Senior Python Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Python Engineer jobs in Delaware look for?

The top searched job categories for Senior Python Engineer jobs in Delaware are:

What cities in Delaware are hiring for Senior Python Engineer jobs?

Cities in Delaware with the most Senior Python Engineer job openings:

Infographic showing various Senior Python Engineer job openings in Delaware as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $142,098 per year, or $68.3 per hour.

Senior Data Engineer (Hybrid)

Wilmington, DE • On-site

Serigor, Inc.
Construction • 51 - 200 employees

$102K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Senior Data Engineer (Hybrid)
Location: Wilmington, DE/Berwyn, PA
Duration: 18 Months, quarterly increments
Job Description:
Senior Data Engineer to support a large-scale enterprise data modernization initiative focused on migrating critical banking and enterprise data assets into a centralized Snowflake platform. This strategic program will transform how data is organized, governed, and utilized across the organization, enabling improved analytics, reporting, data quality, and business decision-making.
The consultant will join a multi-year transformation effort focused on migrating approximately 30 enterprise data domains from legacy platforms into a modern cloud-based ecosystem. Working within an Agile environment, this individual will play a critical role in designing, engineering, testing, governing, and supporting enterprise data solutions that power the future state of data and analytics across the organization.
Key Responsibilities:
  • Data Migration & Modernization
    • Analyze source systems, legacy databases, and existing data architectures.
    • Design and implement Snowflake database structures, schemas, and data models.
    • Migrate enterprise data assets from multiple source systems into Snowflake.
    • Build, enhance, and maintain ETL/ELT processes utilizing SSIS and related technologies.
    • Develop data transformation logic to support reporting and analytics requirements.
    • Validate data integrations and transformation accuracy.
  • Data Engineering
    • Design, develop, and maintain scalable data pipelines.
    • Optimize data ingestion, transformation, and storage processes.
    • Support Azure DevOps (ADO) CI/CD pipelines and deployment automation.
    • Create reusable frameworks, standards, and methodologies for data movement and integration.
    • Develop SQL and Python-based solutions to support enterprise data initiatives.
  • Reporting & Analytics
    • Develop reporting datasets and data marts.
    • Support the creation of business intelligence and analytical solutions.
    • Ensure consistency and accuracy between reports and source systems.
    • Collaborate with business stakeholders to support reporting requirements.
  • Data Governance & Data Quality
    • Support enterprise data governance initiatives and best practices.
    • Implement and maintain data retention policies.
    • Improve data quality, consistency, lineage, and integrity.
    • Assist with metadata management and governance programs.
    • Support evaluation and implementation of governance platforms such as Microsoft Purview.
    • Contribute to Master Data Management (MDM) initiatives.
  • Quality Assurance & Testing
    • Develop data testing strategies and quality assurance processes.
    • Support reconciliation, data validation, and defect remediation activities.
    • Participate in User Acceptance Testing (UAT) and QA cycles.
    • Support deployment validation and production release activities.
  • Operational Support
    • Provide ongoing support for production data platforms and related processes.
    • Troubleshoot performance issues, data failures, and platform incidents.
    • Perform root cause analysis and implement corrective actions.
    • Support quarterly release cycles and post-deployment activities.
    • Assist with future migration and platform enhancement initiatives.
  • Documentation & Knowledge Transfer
    • Create and maintain technical documentation, including:
    • Data mappings
    • Source-to-target specifications
    • ETL/ELT process documentation
    • Data lineage documentation
    • Architecture diagrams
    • Operational procedures
    • Conduct knowledge transfer sessions with internal teams.
    • Promote engineering standards, documentation practices, and best practices.

Minimum Education and Experience:
  • Degree and/or certifications required: NA (not specified by the client).
  • 7+ years of experience in Data Engineering, Data Warehousing, or Data Management.
  • Strong experience designing and developing solutions within Snowflake.
  • Advanced SQL development skills.
  • Experience with SSIS and enterprise ETL development.
  • Experience building ELT/ETL pipelines and data integration solutions.
  • Experience with Azure DevOps (ADO), CI/CD pipelines, and release management.
  • Experience with data modeling, schema design, and database architecture.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Experience supporting Agile software development methodologies.

Preferred Qualifications:
  • Experience within financial services, banking, or regulated industries.
  • Experience with Python scripting and automation.
  • Experience with Microsoft Purview or similar data governance tools.
  • Experience with Master Data Management (MDM) initiatives.
  • Familiarity with enterprise data modernization and cloud migration programs.
  • Understanding of source-to-target mapping and data lineage analysis.

Desired Experience:
  • The ideal candidate will have experience providing senior-level consulting and engineering services across:
  • Snowflake Database Design & Architecture
  • Data Modeling & Schema Development
  • Enterprise Data Migration
  • Data Integration & ETL/ELT Development
  • Azure DevOps Pipeline Development
  • Data Governance Programs
  • Data Quality Remediation
  • Metadata & Lineage Management
  • Agile Delivery & Release Management
  • Business and Technical Requirements Analysis

Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business requirements into technical solutions.
  • Strong documentation and organizational skills.
  • Ability to work independently while collaborating across multiple teams.
  • Experience working with cross-functional business, analytics, QA, and engineering teams.

Skills:
Skill
Required/Desired
Amount
of Experience
Experience in Data Engineering, Data Warehousing, or Data Management.
Required
7
Years
Strong experience designing and developing solutions within Snowflake.
Required
Years
Advanced SQL development skills.
Required
Years
Experience with SSIS and enterprise ETL development.
Required
Years
Experience building ELT/ETL pipelines and data integration solutions.
Required
Years
Experience with Azure DevOps (ADO), CI/CD pipelines, and release management.
Required
Years
Experience with data modeling, schema design, and database architecture.
Required
Years
Knowledge of data governance, metadata management, and data quality frameworks.
Required
Years
Experience supporting Agile software development methodologies.
Required
Years
Experience within financial services, banking, or regulated industries.
Desired
Years
Experience with Python scripting and automation.
Desired
Years
Experience with Microsoft Purview or similar data governance tools.
Desired
Years
Experience with Master Data Management (MDM) initiatives.
Desired
Years
Familiarity with enterprise data modernization and cloud migration programs.
Desired
Years
Understanding of source-to-target mapping and data lineage analysis.
Desired
Years