Data Engineer at Harnham Mundelein, IL

Harnham; Mundelein (IL); Hybrid; USD 150.000 - 165.000; Vollzeit

Zusammenfassung

Wishalicious is seeking a Senior Data Engineer to help build and evolve a modern cloud-based data platform. The role offers ownership across data ingestion, transformation, modeling, platform development, and operations, with a hybrid work setup in Miami, FL or Austin, TX.

You will work closely with engineering, analytics, and business teams to deliver scalable data solutions that support critical organizational initiatives and enable reliable analytics and reporting.

Qualifikationen

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

Aufgaben

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

Kenntnisse

Python

SQL

dbt

Data pipelines

Azure

Data modeling

Data lifecycle management

Stakeholder collaboration

Ausbildung

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative discipline

Tools

Azure

Jobbeschreibung

Job Description Senior Data Engineer

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

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

No Sponsorship Available

About the Opportunity

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.

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

Responsibilities

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

Must-Have Qualifications

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