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Remote Matillion Jobs in Ohio (NOW HIRING)

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.) * Working knowledge of Python for data processing and scripting * Experience with REST APIs and integrating ...

Remote Matillion information

What are the key skills and qualifications needed to thrive as a remote Matillion developer?

To thrive as a Remote Matillion Developer, you need expertise in ETL processes, data warehousing concepts, and proficiency with SQL, often supported by a degree in computer science or related fields. Familiarity with Matillion ETL, cloud platforms like AWS or Snowflake, and experience with data integration tools are typically required. Strong problem-solving, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure efficient data pipeline development and collaboration, enabling organizations to leverage data for business insights.

What is a remote Matillion?

A Remote Matillion job refers to a role where professionals work from a remote location to design, develop, and manage data integration workflows using Matillion, a cloud-native ETL (Extract, Transform, Load) tool. These jobs typically involve creating data pipelines that extract data from various sources, transform it according to business requirements, and load it into cloud data warehouses like Amazon Redshift, Snowflake, or Google BigQuery. Remote Matillion professionals collaborate with data engineers, analysts, and business stakeholders through online communication tools. The role may also include troubleshooting data integration issues, optimizing performance, and ensuring data quality in a fully remote working environment.

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

AspectRemote MatillionRemote Data Engineer
Required CredentialsExperience with Matillion ETL, SQL, cloud platformsSQL, Python, cloud services, data modeling
Work EnvironmentCloud-based, data integration projectsCloud or on-premises, data pipeline development
Employer & Industry UsageData integration, ETL solutions, analytics firmsTech companies, finance, healthcare, analytics
Common Search & ComparisonYesYes

Remote Matillion roles focus on using Matillion ETL tools for data integration, requiring familiarity with cloud platforms and SQL. Remote Data Engineers design and build data pipelines using various tools and programming languages like Python. While both roles work in data environments and often in similar industries, Matillion specialists are more focused on specific ETL solutions, whereas Data Engineers have broader technical responsibilities.

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

Remote Matillion Developers often encounter challenges such as coordinating data pipeline deployments across distributed teams, ensuring secure access to sensitive data, and troubleshooting issues without direct, in-person collaboration. To address these challenges, developers rely on clear documentation, regular virtual meetings, and strong version control practices. Leveraging cloud-based collaboration tools and maintaining open channels of communication with data engineers, analysts, and stakeholders can also help streamline workflows and resolve issues efficiently.
What job categories do people searching Remote Matillion jobs in Ohio look for? The top searched job categories for Remote Matillion jobs in Ohio are:
What cities in Ohio are hiring for Remote Matillion jobs? Cities in Ohio with the most Remote Matillion job openings:

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Re-posted 19 days ago


Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do
  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have
  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams