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

Chipotle

Lead Engineer, Data Engineering

Columbus, OH

$116K - $162.50K/yr

Responsibilities include building data engineering solutions and processes to enable analytics ... Remote work is not available for this role. WHAT YOU'LL DO * Actively engage in technology ...

McKesson Corporation

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

Tasks and Responsibilities Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals Provide technical mentorship ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

Deloitte

Sr Databricks Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams • 5+ years of ...

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.60K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. • At least 5 years of experience in data engineering, data pipeline development, and ETL processes ...

CoverMyMeds

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

The Hartford

Lead Data Engineer - Generative AI

Columbus, OH · Hybrid

$110.60K - $132.80K/yr

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... Implement best practices in reliability engineering, including redundancy, fault tolerance, and ...

McKesson

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

McKesson

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

EASE Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

Experience • 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment ...

EASE Logistics

Data Engineer

Dublin, OH

$108.10K - $129.80K/yr

Experience · 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment ...

Pwc

Data Engineer - Senior Manager

Columbus, OH · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Remote Data Engineering information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do remote data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineering in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Columbus, OH? The most popular types of Data Engineering jobs in Columbus, OH are:
What are popular job titles related to Remote Data Engineering jobs in Columbus, OH? For Remote Data Engineering jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Columbus, OH look for? The top searched job categories for Remote Data Engineering jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data Engineering jobs? Cities near Columbus, OH with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Columbus, OH as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Posted 18 days ago

Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision

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