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Senior Data Engineer Python Jobs in Columbus, OH

Lead Data Engineer - Generative AI

Columbus, OH ยท Hybrid

$110.60K - $132.80K/yr

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... Required Skills & Experience : * 8+ years' Strong hands-on experience programming skills in Python ...

As a Senior Data Scientist you will work with stakeholders throughout the organization to identify ... Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in ...

Sr Databricks Data Engineer

Columbus, OH ยท On-site

$110.60K - $132.80K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr. Data Analyst

Columbus, OH

$83.10K - $104.80K/yr

Work closely with Product Engineering to ensure product features, enhancements, and changes are ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

Sr. Data Analyst

Columbus, OH ยท On-site

$83.10K - $104.80K/yr

Work closely with Product Engineering to ensure product features, enhancements, and changes are ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

Sr. Data Analyst

Columbus, OH ยท On-site

$83.10K - $104.80K/yr

Work closely with Product Engineering to ensure product features, enhancements, and changes are ... Advanced skills in SQL and Python, with experience in database management. * Proficiency in data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

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Senior Data Engineer Python information

See Columbus, OH salary details

$78.2K

$122K

$169K

How much do senior data engineer python jobs pay per year?

As of May 31, 2026, the average yearly pay for senior data engineer python in Columbus, OH is $122,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $139,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Python, and why are they important?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a Senior Data Engineer specializing in Python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What does a Senior Data Engineer Python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Columbus, OH? For Senior Data Engineer Python jobs in Columbus, OH, the most frequently searched job titles are:

Senior Java Developer - Spark - Onsite

Saransh Inc

Columbus, OH โ€ข On-site

$55.25 - $70.50/hr

Contractor

Posted yesterday


Job description

Job Title: Senior Java Developer

Work Location: Columbus, OH

Duration: Long Termย 

Job Description

  • Contribute to building brand new data platforms in AWS, using Java and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. You will design and implement micro services and data pipelines using Java, Sprint Boot, Kafka, Spark and AWS services. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

Must Have Tech Skills:

  • Demonstrable experience as a senior data engineer.
  • Expert in Java and Spark, with a deep focus on data transformations, processing and data engineering practices.
  • Expert in micro service implementation using Java, Sprint Boot, Kafka and Kubernetes.
  • Good knowledge on AWS services like EKS, S3, SQS, Lambda, SNS, MSK.
  • Experience in implementing tests using Junit, Mockito, Cucumber and Karate.
  • Good knowledge in performance tuning Spark jobs and micro services.

Nice To Have Tech Skills:

  • Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements
  • A masterโ€™s degree or equivalent experience or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous

Key Accountabilities:

  • Provides guidance on standard methodologies in design, development, and implementation, ensuring solutions meet business requirements and technical standards.
  • Drive the migration of existing data processing workflows to the Lakehouse architecture, using Iceberg capabilities.
  • Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.
  • Good ability in debugging, problem solving and performance tuning of micro services and high volume spark applications.

Key Skills:

  • Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using Kafka, Spark and AWS services.
  • Highly proficient in Java, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.
  • Proficient in creating clear, comprehensive documentation. Ensures that documentation supports technical teams' knowledge and compliance, making it accessible and valuable for future reference
  • Proficient in quality assurance practices, including code reviews, automated testing, and standard methodologies for data validation.
  • Experience in using automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.