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Data Engineer Data Jobs Near Me

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

As a Data Engineer - Cloud/AI, you will design, build, and maintain scalable data pipelines and architectures, collaborating with various teams to ensure data accuracy and accessibility.

Data Engineer

Columbus, OH

$110K - $132K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months with visibility for extension Need a Sr.Data Engineer of whom has strong experience in OBIEE/ Netezza ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions.

New

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

They are seeking a Data Engineer to build and maintain data ingestion systems, ensure data quality, and manage data pipelines that support analytics and operational workflows. Responsibilities : • ...

New

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for a Data Engineer to join our IT team! We are looking for someone who is driven, passionate ...

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, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic ...

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, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic ...

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 ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Databricks Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

AI Data Engineer - Manager

Columbus, OH · On-site

$110K - $132K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture , primarily on Google Cloud Platform (GCP) . This ...

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Data Engineer Data information

See salary details

$46K

$165K

$243.5K

How much do data engineer data jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Data Engineer Data jobs? Cities with the most Data Engineer Data job openings:
What states have the most Data Engineer Data jobs? States with the most job openings for Data Engineer Data jobs include:
A map of the United States highlighting the number of Data Engineer Data job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Engineer Data 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 14 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