Python Developer

Lorven Technologies Inc.; California (MO); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm is seeking an experienced Data Engineer skilled in PySpark and Python for a long-term remote project. The ideal candidate will have 10–15 years of experience in data engineering, particularly in the Energy and Utility sectors. Responsibilities include translating business needs into technical solutions, leading engineering initiatives, and enhancing data systems. Strong expertise in Pandas, APIs, CI/CD tools, and familiarity with data quality practices are essential. This role offers the chance to work within a collaborative Agile environment.

Qualifications

• 10–15+ years of overall experience in data engineering/ETL ecosystems.
• Experience in Energy and Utility projects is a significant advantage.
• Experience with unit tests, integration tests, schema validations, and health checks.

Responsibilities

• Translate business requirements into technical solutions using PySpark and Python.
• Lead data engineering initiatives addressing complex data challenges.
• Build infrastructure supporting large scale data access and analysis.

Skills

Strong expertise in PySpark

Strong expertise in Python

Experience with Pandas

Experience with APIs

Experience with Spark Streaming

Solid understanding of database design fundamentals

Familiarity with CI/CD tools

Experience writing production grade code

Experience with unit tests

Knowledge of Palantir Foundry

Education

MS in Computer Science, MIS, or related field

Job description

Our client is looking for a Data Engineer (Python, Pyspak, Java) with a Long-Term Contract project in Remote below is the detailed requirement.

Location: Remote

Duration: Long term Contract

MS or equivalent experience in Computer Science, MIS, or related technical fields.

10–15+ years of overall experience, including 5+ years in data engineering/ETL ecosystems using PySpark, Python, and Java.

Experience in Energy and Utility projects is a significant advantage

Translate business requirements into technical solutions using PySpark and Python frameworks.

Lead data engineering initiatives addressing moderately complex to highly complex data and analytics challenges.

Plan and execute tasks to meet shared objectives, maintain progress tracking, and document work following best practices.

Identify and implement internal process improvements, including scalable infrastructure design, optimized data distribution, and automation of manual workflows.

Participate actively in Agile/Scrum ceremonies such as stand ups, sprint planning, and retrospectives.

Contribute to the evolution of data systems and architecture, recommending enhancements to pipelines and frameworks.

Provide technical guidance to team members on complex challenges spanning multiple functional and technical domains.

Build infrastructure that supports large scale data access and analysis, ensuring data quality and proper metadata management.

Collaborate with leadership to strengthen data driven decision making through demos, mentorship, and best practice sharing.

Minimum Qualifications

Required Skills

• Strong expertise in PySpark and Python.
• Experience with Pandas, APIs, and Spark Streaming.
• Solid understanding of database design fundamentals.
• Familiarity with CI/CD tools and infrastructure as code frameworks.
• Experience writing production grade code.
• Experience with unit tests, integration tests, schema validations, and health checks.
• Knowledge of Palantir Foundry (Ontology modeling, API configuration, Foundry Typescript) is a strong plus.