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Senior Data Engineer Python Jobs in Columbus, OH

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Responsibilities Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build ... Strong proficiency in SQL and Python * Hands-on experience with cloud data platforms (Snowflake ...

New

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern ... Strong proficiency in SQL and Python * Hands-on experience with cloud data platforms (Snowflake ...

New

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Responsibilities Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build ... Strong proficiency in SQL and Python * Hands-on experience with cloud data platforms (Snowflake ...

New

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Python scripts Develop and optimize Power BI dashboards, reports, and semantic models to support ...

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows. * Partner ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers ... Write and maintain production-quality SQL, Python scripts, and transformation workflows. * Partner ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months with visibility for extension Need a Sr.Data Engineer of whom has strong experience in OBIEE/ Netezza ...

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

Senior Data Engineer - Analytics Essential Functions: * Collaborate with other internal teams to ... Five years experience developing data platforms using Python, SQL Supervision: N/A Certifications:

Senior Data Engineer

Dublin, OH · On-site

$91K - $163K/yr

Intermediate level of proficiency in SQL, Python and data libraries used in profiling, transforming ... engineers * Deep team involvement throughout the SDLC - a track record of performing code reviews ...

Senior Data Engineer

Dublin, OH · Remote

$91K - $163K/yr

Intermediate level of proficiency in SQL, Python and data libraries used in profiling, transforming ... engineers * Deep team involvement throughout the SDLC - a track record of performing code reviews ...

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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 Jul 14, 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 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 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.

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.

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 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:
What job categories do people searching Senior Data Engineer Python jobs in Columbus, OH look for? The top searched job categories for Senior Data Engineer Python jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Senior Data Engineer Python jobs? Cities near Columbus, OH with the most Senior Data Engineer Python job openings:
Senior Data Engineer

$100K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

New


Advanced Drainage Systems rating

7.0

Company rating: 7.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

40th of 80 rated plastic manufacturers


Job description

Overview

Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we deliver high-quality products across multiple industries while recycling over half a billion pounds of plastic annually. At ADS, we foster a culture where diverse perspectives drive better ideas, ensuring every employee feels valued, heard, and empowered to make an impact.

Responsibilities

Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern data pipelines and AI-ready data platforms that drive operational excellence, manufacturing insights, and advanced analytics across the enterprise.

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise reporting. The ideal candidate combines strong data engineering fundamentals with experience preparing data for AI use cases such as predictive maintenance, demand forecasting, and process optimization.

Key Responsibilities

Data Engineering & Platform Development

  • Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks)
  • Develop and maintain bronze/silver/gold data layers (medallion architecture) for analytics and AI consumption
  • Integrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environment
  • Ensure high data quality, reliability, and performance across pipelines

AI & Advanced Analytics Enablement

  • Engineer datasets optimized for machine learning and AI models
  • Partner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use cases
  • Implement data pipelines that support real-time or near-real-time analytics where applicable
  • Enable feature engineering and model-ready datasets

Data Integration & Modernization

  • Support migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platforms
  • Build and maintain integrations using tools such as Informatica, APIs, and streaming frameworks
  • Contribute to architecture patterns that enable scalable and reusable data products

Data Governance, Security & Quality

  • Implement and enforce data governance standards, lineage, and metadata management
  • Ensure compliance with data security and privacy policies
  • Monitor and improve data quality and pipeline performance metrics

Collaboration & Business Alignment

  • Partner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needs
  • Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets
  • Translate business requirements into scalable data solutions

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 3-7+ years of experience in data engineering or data platform development
  • Strong proficiency in SQL and Python
  • Hands-on experience with cloud data platforms (Snowflake, Azure, or AWS)
  • Experience building ETL/ELT pipelines and data models
  • Familiarity with data warehousing concepts and medallion architecture

Preferred Qualifications

  • Experience supporting AI/ML workflows or data science teams
  • Knowledge of manufacturing, supply chain, or IoT data environments
  • Experience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)
  • Understanding of data governance frameworks and data quality tools
  • Exposure to Power BI or modern BI tools

Key Competencies

  • Strong problem-solving and analytical thinking
  • Ability to balance speed, quality, and scalability in delivery
  • Excellent communication skills across technical and business audiences
  • Ownership mindset with focus on measurable outcomes and ROI

Why ADS

  • Opportunity to help build a modern, AI-enabled data platform from the ground up
  • Direct impact on manufacturing optimization, product innovation, and customer insights
  • Work with a growing Enterprise Analytics team driving enterprise-wide transformation

Success Metrics (First 12 Months)

  • Delivery of production-ready pipelines supporting key business domains
  • Reduction in data latency and improvement in data quality
  • Enablement of at least 2-3 high-value AI/analytics use cases
  • Contribution to platform modernization milestones

#LI-CH1

#LI-Hybrid

Company Benefits:

Health & Welfare Benefits: Medical and prescription drug plans, telemedicine (with medical plan), High-Deductible Health Plan (HDHP) and Health Savings Account (HSA), dental and vision plans, virtual physical therapy*, an employee assistance program (EAP)*, and voluntary accident, critical illness, and hospital indemnification programs.

 Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan (voluntary), financial wellness planning*, paid parental leave*, flexible spending accounts (FSA) for child care and health care, short-term and long-term disability*, basic life insurance, accidental death and dismemberment (AD&D)*, adoption financial reimbursement*, tuition reimbursement*, voluntary life insurance (for employees, spouses, and children), and voluntary identity theft and fraud protection.

*100% paid by ADS.

Why Join ADS?

Growth Opportunities & Global Presence: With a global network of approximately 70 manufacturing plants and 40 distribution centers, ADS offers extensive opportunities for career growth and development in various locations around the world.

Inclusive and Creative Work Culture: ADS fosters a culture of passion, innovation, and continuous improvement, empowering employees to shape industry-leading solutions. We value diverse perspectives, recognizing that they drive better ideas, processes, and performance. Our workplace is built on respect, inclusivity, and shared responsibility, ensuring every team member feels valued and contributes to our collective success.

Innovative & Sustainability Focused: Advanced Drainage Systems is one of the largest plastic recyclers in North America, ensuring over half a billion pounds of plastic is kept out of landfills every year.

Learn More: https://www.adspipe.com/about-us

EEO Statement

ADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

Employment Type: OTHER

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