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Remote Microsoft Data Engineer Jobs Near Me

Azure Data Engineer

Dublin, OH

$110K - $132K/yr

You would be responsible for designing, building, and operating data pipelines within Microsoft ... As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable ...

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 ...

Hands on experience with DevOps (CI/CD process), event streaming and processing, AI/ML toolset, Azure Databricks, Microsoft Data Factory, Delta Lake, Unity Catalog, and Azure cloud services. * Strong ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Preferred : • Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or ... data engineering, computer science, or related fields. Company : Vertiv designs, builds and ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud ...

Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role, person will be responsible for ...

Data Engineer (AWS, Azure, GCP)

Columbus, OH · On-site

$110K - $132K/yr

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ... Utilizing your skills in engineering best practices to solve complex data problems * Collaborating ...

Microsoft Fabric Data Architect

Columbus, OH · Remote

$65.25 - $84/hr

Microsoft Fabric Data ArchitectPosition Overview We are seeking an experienced and highly motivated ... Comfort training clients and engineers on Fabric technologies. Pre-Sales * Lead technical pre-sales ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ...

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 ...

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Remote Microsoft Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do remote microsoft data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote microsoft data engineer 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 Microsoft Data Engineer jobs? Cities with the most Remote Microsoft Data Engineer job openings:
What states have the most Remote Microsoft Data Engineer jobs? States with the most job openings for Remote Microsoft Data Engineer jobs include:
What are the most commonly searched types of Microsoft Data Engineer jobs? The most popular types of Microsoft Data Engineer jobs are:
A map of the United States highlighting the number of Remote Microsoft Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Microsoft Data Engineer 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

Posted 6 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