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Manager Data Engineering Jobs Near Me

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

... management disciplines, including data integration, data modeling, data optimization, data quality, and other areas related to data engineering * 7+ years of experience with database programming ...

... data engineering or equivalent role * Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). * Proven experience in data pipeline development and ...

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

... data engineering or equivalent role * Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). * Proven experience in data pipeline development and ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

Bridge Backend Architecture & UX: Partner directly with data engineering teams to ensure our ... Product Management Foundations: 1-3 years of professional experience managing data products ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

Bridge Backend Architecture & UX: Partner directly with data engineering teams to ensure our ... Product Management Foundations: 1-3 years of professional experience managing data products ...

Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Every pipeline has clear SLAs, dependency management, failure alerting, and documented recovery ... Required : • 5+ years of hands-on data engineering experience, with a track record of building ...

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Manager Data Engineering information

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$31K

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$172K

How much do manager data engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for manager data engineering in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 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 17 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