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Microsoft Data Engineer Jobs in Columbus, OH (NOW HIRING)

Ease Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... data solutions in a cloud-native Microsoft Azure environment, including data ingestion ...

EASE Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... data solutions in a cloud-native Microsoft Azure environment, including data ingestion ...

EASE Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... data solutions in a cloud-native Microsoft Azure environment, including data ingestion ...

Kimball Midwest

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

... a Data Engineer to join our IT team! We are looking for someone who is driven, passionate about ... Curiosity and excitement about emerging technologies, especially Microsoft Fabric. * Commitment to ...

Kimball Midwest

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

... a Data Engineer to join our IT team! We are looking for someone who is driven, passionate about ... Curiosity and excitement about emerging technologies, especially Microsoft Fabric. * Commitment to ...

My3Tech Inc

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Hands on experience with Microsoft Stack - SSIS, SQL, etc. * Possess strong analytical skills with ... Senior Data Engineering Skills with Snowflake, Azure Data Factory, prefer DB2 Must have excellent ...

Deloitte

Sr Databricks Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

... Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF ...

Core & Main

Data Engineer II

Columbus, OH · On-site

$107K - $128.50K/yr

Exposure to modern Spark-based data platforms like Databricks or Microsoft Fabric for data engineering tasks, including leveraging their capabilities for scalable data processing, analytics, and ...

Deloitte

Sr Databricks Data Engineer

Columbus, OH

$100.90K - $138.60K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.60K/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 ...

Kimball Midwest

Data Engineer - Columbus, OH

Columbus, OH · On-site

$107K - $128.50K/yr

... a Data Engineer to join our IT team! We are looking for someone who is driven, passionate about ... Curiosity and excitement about emerging technologies, especially Microsoft Fabric. * Commitment to ...

RIT Solutions

Snowflake Data Engineer

Columbus, OH · Hybrid

$107K - $128.50K/yr

Snowflake Data Engineer This is a 6-month contract and needs to meet client full-time conversion ... Demonstrate expertise in Snowflake's cloud native architecture and Microsoft SQL server technology.

Pwc

Data Engineer - Manager

Columbus, OH

... 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 ...

Vertiv Holdings

Data Engineer - Cloud/AI

Columbus, OH · On-site

$107K - $128.50K/yr

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

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Columbus, OH · On-site

$107K - $128.50K/yr

Data Engineer (AWS, Azure, GCP) CapTech is an award-winning consulting firm that collaborates with ... Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ...

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Microsoft Data Engineer information

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$41.8K

$121.8K

$166.7K

How much do microsoft data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for microsoft data engineer in Columbus, OH is $121,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,200.00 per year, depending on experience, location, and employer.

What is a Microsoft Data Engineer job?

A Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. They work with large datasets, implement data pipelines, and optimize database performance to support business intelligence and analytics. Their role often involves ensuring data quality, security, and scalability while collaborating with data analysts and developers.

What are the key skills and qualifications needed to thrive in the Microsoft Data Engineer position, and why are they important?

Microsoft Data Engineers require a solid understanding of data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, communication skills, and attention to detail set top candidates apart. Mastery of these skills ensures the efficient design, development, and maintenance of scalable data solutions within complex business environments.

What are the typical day-to-day responsibilities of a Microsoft Data Engineer?

As a Microsoft Data Engineer, your daily tasks usually involve designing, building, and managing data pipelines using Microsoft Azure and SQL Server technologies. You'll collaborate closely with data analysts, business stakeholders, and software engineers to ensure data is accessible, accurate, and optimized for reporting and analytics needs. Regular activities may include developing ETL processes, troubleshooting data issues, maintaining data security, and optimizing performance. This role often provides a dynamic work environment with opportunities to work on cross-functional projects and continually adopt new Microsoft data tools as they evolve.
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Microsoft Data Engineer jobs near you
Infographic showing various Microsoft Data Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,840 per year, or $58.6 per hour.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • Hybrid

$107K - $128.50K/yr

Other

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

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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