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Data Engineer With Jobs Near Me

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company ... We partner with health systems, community health centers, and independent practices to remove ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company ... We partner with health systems, community health centers, and independent practices to remove ...

AndHealth

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 ... You've dealt with unreliable source systems, inconsistent file formats, undocumented APIs, and ...

R3 Tek

Data Engineer

Columbus, OH · On-site

$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 ...

FlightSafety International

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 ... Collaborate with business stakeholders, architects, and analysts to translate requirements into ...

FlightSafety International

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 ... Collaborate with business stakeholders, architects, and analysts to translate requirements into ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$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 ...

Kimball Midwest

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

... Engineer to join our IT team! We are looking for someone who is driven, passionate about data and ... Proven passion for data and technology, with a record of continuous learning and leadership.

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

Collaborate with Application Services, Infrastructure, Security, and external partners on data ... Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines

Bespoke Labs

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

National Church Residences

Azure Data Engineer

Dublin, OH · On-site +1

$110K - $132K/yr

Collaborate with Application Services, Infrastructure, Security, and external partners on data ... Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines

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How much do data engineer with jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer with 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.
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Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Posted 3 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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