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Remote Data Pipeline Jobs in Columbus, OH (NOW HIRING)

Columbus, OH (1st choice), Remote (2nd choice) Experience Required: 7-12 years Base Salary: Up to ... The successful candidate will be responsible for development and optimization of data pipelines ...

AI Data Architect

Columbus, OH · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Design canonical data models, metadata frameworks, and pipelines to support AI/ML model development ...

Snowflake Data Engineer

Columbus, OH · Hybrid

$107K - $128.50K/yr

Hybrid remote in Hartford, CT 06115 The Enterprise Data Services department's IT team supporting ... Experience in building data pipelines (ELT) with Snowflake cloud data platform using AWS compute ...

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

This position may be remote and requires approximately 20% travel to the Indianapolis, IN area. The ... Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

This position may be remote and requires approximately 20% travel to the Indianapolis, IN area. The ... Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured ...

Data Engineer- Columbus OH

Columbus, OH · Remote

$107K - $128.50K/yr

Job- Data Engineer Location- Remote Core skills needed - * Data Engineering tools and techniques ... Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is highly desired

... pipelines and experience with big data analysis tools and techniques. Preferred Qualifications ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... scalable data pipelines and experience with big data analysis tools and techniques. Preferred ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Pipeline information

What is the difference between Remote Data Pipeline vs Data Engineer?

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

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What cities near Columbus, OH are hiring for Remote Data Pipeline jobs? Cities near Columbus, OH with the most Remote Data Pipeline job openings:

Databricks Data Engineer

Inizio Partners

Columbus, OH • Remote

$150K/yr

Other

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


Job description

Databricks Data Engineer

Columbus, Ohio, United States

About the Job

Title: Databricks Data Engineer (Senior Manager / AVP)

Location: Columbus, OH (1st choice), Remote (2nd choice)

Experience Required: 7-12 years

Base Salary: Up to $150k

Job Overview:

We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Key Responsibilities:

  • Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements
  • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines.
  • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
  • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
  • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
  • Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

Candidate Profile:

  • 7-12 years experience on Data Engineering role working with Databricks & Cloud technologies.
  • Bachelors degree in computer science, Information Technology, or related field.
  • Strong proficiency in PySpark, Python, SQL.
  • Strong experience in data modeling, ETL/ELT pipeline development, and automation
  • Hands-on experience with performance tuning of data pipelines and workflows
  • Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc.
  • Experience with data modeling, ETL processes, Delta Lake and data warehousing.
  • Experience on Delta Live Tables, Autoloader & Unity Catalog.
  • Preferred - Knowledge of the insurance industry and its data requirements.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication and problem-solving skills to work effectively with diverse teams
  • Excellent problem-solving skills and ability to work under tight deadlines.

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