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Python Pandas Remote Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

This position is remote and requires the ability to obtain and retain a public-trust clearance ... Python, Pandas, NumPy, PySpark * Power BI, Tableau, SSRS, or enterprise analytics platforms

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Python Pandas Remote information

What are the key skills and qualifications needed to thrive as a Python Pandas Remote Data Analyst, and why are they important?

To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.

What are some common challenges faced by remote Python Pandas developers and how can they be addressed?

Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.

What is the difference between Python Pandas Remote vs Data Analyst?

AspectPython Pandas RemoteData Analyst
Required SkillsPython, Pandas, SQL, data manipulationExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, tech-focused companiesOffice or remote, various industries
CertificationsPython certifications, data analysis coursesData analysis, Excel, Tableau certifications
Industry UsageTech, finance, e-commerceFinance, marketing, healthcare

Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.

What are Python Pandas Remote jobs?

Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
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Python Pandas Remote jobs near you
Senior Data Engineer

Senior Data Engineer

A-TEK Inc.

Continental, OH • On-site, Remote

$160K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

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

Job description

Senior Data Engineer (Cloud & Data Modernization)

A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data governance initiatives for Federal customers. This role focuses on designing and implementing scalable data platforms, automated ETL/ELT pipelines, and modern cloud-based data solutions supporting scientific, operational, and mission-critical environments.

The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate across technical and non-technical teams to modernize data ecosystems and improve enterprise data accessibility, quality, governance, and analytics capabilities.

NOAA experience is preferred. This position is remote and requires the ability to obtain and retain a public-trust clearance.

 

Responsibilities

  • Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines
  • Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data
  • Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing
  • Support modernization of legacy data environments into cloud-based architectures
  • Design and implement data models, schemas, and database structures optimized for analytics and reporting
  • Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities
  • Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making
  • Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies
  • Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure
  • Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes
  • Perform database tuning, query optimization, and performance engineering activities
  • Support secure data management and compliance with Federal security and data governance requirements
  • Provide technical leadership, mentoring, and engineering best practices across project teams

 

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
  • 7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines
  • Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions
  • Experience with distributed processing frameworks and cloud-native data ecosystems
  • Strong experience with data modeling, database design, and dimensional modeling techniques
  • Experience implementing data governance, metadata management, data quality, and data integrity controls
  • Proficiency with SQL and Python-based data engineering and automation
  • Experience with cloud data platforms and services in AWS, Azure, or Google Cloud
  • Experience supporting large-scale, modern data modernization initiatives
  • Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Experience collaborating across cross-functional teams in Agile or DevSecOps environments

 

Preferred Qualifications

  • NOAA or broader Federal civilian agency experience
  • Experience supporting scientific, environmental, geospatial, or research data environments
  • Experience with GIS or geospatial data platforms
  • Experience with AI/ML data engineering or MLOps support
  • Experience with Infrastructure-as-Code and CI/CD automation
  • Familiarity with metadata management, data catalogs, and enterprise governance frameworks
  • Experience with real-time streaming or event-driven data architectures
  • AWS or Azure certifications

 

Preferred Technical Skills

  • SQL Server, PostgreSQL, Oracle, or cloud-native databases
  • Azure Data Factory, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks
  • Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms
  • Python, Pandas, NumPy, PySpark
  • Power BI, Tableau, SSRS, or enterprise analytics platforms
  • Docker, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies
  • REST APIs and data integration services

 

Compensation

  • Salary Range: $160,000 - $170,000 annually (commensurate with experience, professional certifications and location)
  • Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.

 

 

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