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Aws Data Engineer Jobs Near Me

Pwc

Data Engineer - Senior Associate

Columbus, OH

$77K - $202K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Manager

Columbus, OH

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Pwc

Data Engineer - Senior Manager

Columbus, OH

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

The Hartford

Data Engineer

Columbus, OH

$110K - $132K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Familiarity with AWS and/or GCP cloud services. * Experience with source control systems such as ...

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How much do aws data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for aws 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.
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Aws Data Engineer jobs near you
A map of the United States highlighting the number of Aws Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Aws Data Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Lead Data Engineer (Senior Programmer/Analyst)

STAFFXPERT LLC

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 3 days ago

New

Job description

Job Title Lead Data Engineer (Senior Programmer/Analyst)

Location Columbus, OH (Onsite)

Job Summary

STAFFXPERT LLC is seeking a Lead Data Engineer on behalf of our client in Columbus, OH. This role is ideal for a highly skilled data professional with extensive experience designing, building, and optimizing enterprise-scale data pipelines and data platforms. The successful candidate will work closely with business stakeholders, data scientists, analysts, and governance teams to deliver scalable data solutions that support analytics, reporting, and data-driven decision-making.

This position requires strong expertise in modern data engineering practices, cloud-based technologies, data architecture, and large-scale data integration.

Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines and data integration solutions.

  • Architect and implement enterprise data platforms that support business intelligence, analytics, and data science initiatives.

  • Collaborate with data scientists, business analysts, and stakeholders to gather requirements and deliver data solutions aligned with business objectives.

  • Build, optimize, and manage data ingestion, transformation, and processing workflows across diverse data sources.

  • Ensure data quality, consistency, governance, and compliance across data assets.

  • Partner with data governance teams to promote reusable and governed data products.

  • Implement data testing, monitoring, and performance optimization strategies.

  • Support DevOps and CI/CD practices, including version control, automated testing, deployment, and release management.

  • Mentor junior team members and provide technical leadership across projects.

  • Lead cross-functional initiatives and contribute to enterprise data strategy and best practices.

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.

  • 7+ years of experience in Data Engineering, Data Integration, Data Management, or related disciplines.

  • 7+ years of hands-on experience with database development, SQL programming, ETL/ELT processes, and advanced analytics environments.

  • Strong experience designing, building, and optimizing large-scale data pipelines and data architectures.

  • Experience working with large, complex, and heterogeneous datasets.

  • Solid understanding of data modeling, data governance, data quality, and data management best practices.

  • Experience with cloud-based data engineering technologies and platforms.

  • Knowledge of DevOps methodologies, CI/CD pipelines, version control systems, and automated testing practices.

  • Strong analytical, problem-solving, and communication skills.

  • Proven ability to lead initiatives and collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Master’s degree in Computer Science, Statistics, Data Science, or a related field.

  • Hands-on experience with data testing and validation frameworks.

  • Experience with data preparation and data wrangling tools.

  • Strong experience with AWS data engineering services, including AWS Glue, AWS Lambda, Amazon Athena, Amazon S3, and Amazon Redshift.

  • Experience with business intelligence and reporting tools such as Power BI, Tableau, or similar platforms.

  • Familiarity with open-source and commercial data science platforms.

  • Experience working in Agile delivery environments.

  • Demonstrated success leading cross-functional teams and mentoring junior professionals.

  • Experience within the Financial Services, Banking, Insurance, or FinTech industry is highly preferred.

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