Data Engineer Job at Harnham, Mundelein, IL

  • Harnham
  • Mundelein, IL

Job Description

Job Description

Senior Data Engineer

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Location: Miami, FL or Austin, TX (Hybrid)

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Pay: $150k - $165k Base Salary + Bonus

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No Sponsorship Available

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About the Opportunity

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A growing wealth management firm is seeking a Mid-Senior level Data Engineer to help build and evolve a modern cloud-based data platform. This is a highly visible, hands-on role offering significant ownership across the full data lifecycle, including data ingestion, transformation, modeling, platform development, and operational support.

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The successful candidate will work closely with engineering, analytics, and business teams to deliver scalable and reliable data solutions that support critical organizational initiatives.

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Responsibilities

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  • Design, develop, and maintain scalable data pipelines and ingestion frameworks across multiple data sources.
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  • Build and optimize data models to support analytics, reporting, and downstream applications.
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  • Develop and enhance cloud-based data platform infrastructure with a focus on scalability, reliability, and performance.
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  • Utilize Python, SQL, and dbt to create robust and maintainable data solutions.
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  • Implement and improve monitoring, data quality, operational processes, and platform reliability.
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  • Collaborate with cross-functional stakeholders to deliver high-quality data products and solutions.
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  • Troubleshoot complex production data issues and contribute to the long-term data architecture roadmap.
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Must-Have Qualifications

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  • 3+ years of experience in Data Engineering or a related data-focused engineering role.
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  • Strong hands-on experience with Python and SQL.
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  • Proven experience building and maintaining data pipelines and data ingestion frameworks.
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  • Strong experience with dbt and modern data transformation practices.
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  • Experience working with Azure cloud technologies and enterprise data platforms.
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  • Solid understanding of data modeling, data architecture, and data lifecycle management.
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  • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline.
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