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Remote Data Engineering Jobs Near Me

Data Engineer Databricks (Remote)

Columbus, OH · Remote

$110K - $132K/yr

Data Engineering & Pipelines * Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows. * Ingest structured, semi ...

GOOGLE Data Architect

Columbus, OH · On-site

$75 - $85/hr

Columbus, OH (4 days onsite, 1 day remote) Type: 3+ Months Contract to Hire Overview: We're looking ... Mentor teams and drive best practices in data engineering and architecture Required Qualifications ...

Lead Data Engineer

Columbus, OH

$107K - $129K/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 ...

Lead Data Engineer

Columbus, OH

$107K - $129K/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 ...

Lead Data Engineer

Columbus, OH

$110K - $132K/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 ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/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 ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/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 ...

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and well-designed data environment, while applying strong engineering judgment and pragmatic ...

Azure Data Engineer

Dublin, OH · On-site +1

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and welldesigned data environment, while applying strong engineering judgment and pragmatic ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/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 ...

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 ...

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

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. * Proficient in ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

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. * Proficient in ...

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Remote Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineering jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Remote Data Engineering jobs? Cities with the most Remote Data Engineering job openings:
What states have the most Remote Data Engineering jobs? States with the most job openings for Remote Data Engineering jobs include:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
A map of the United States highlighting the number of Remote Data Engineering job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Data Engineering job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Re-posted 2 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