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Senior Data Engineer

Senior Data Engineer

Ken Systems, Inc.Minneapolis, MN, United States
4 hours ago
Job type
  • Permanent
Job description

About the Company

A global leader in the alternative investment and asset management space is expanding its Data & Analytics capabilities. The firm oversees multi-billion-dollar portfolios across credit, real estate, private equity, lending, and structured investments and maintains a high-performance, data-driven culture committed to integrity, innovation, and excellence.

Position Overview

We are hiring a Senior Data Engineer to join the Data & Analytics team and drive the evolution of our cloud-based data ecosystem. This individual will architect scalable data pipelines, optimize cloud infrastructure, and enable advanced analytics across multiple business units.

The role is based in Minneapolis and requires close collaboration with investment, operations, and technology teams.

Key Responsibilities

Data Engineering

  • Design, build, and optimize reliable ETL / ELT pipelines for large-scale data ingestion and transformation.
  • Modernize and enhance the current data ecosystem to support high-quality, consistent data delivery.
  • Manage cloud-based data infrastructure, including resource deployment, configuration, and performance tuning.
  • Monitor system health, troubleshoot pipeline issues, and streamline processes for speed and efficiency.
  • Implement robust data security, governance, and privacy controls for sensitive financial data.
  • Stay updated with emerging technologies and best practices in cloud data engineering.

Analytics & Business Enablement

  • Develop data models, tools, and frameworks that support self-service analytics across the organization.
  • Translate business needs into data-driven solutions such as dashboards, metrics, and analytical tools.
  • Mentor analysts and help strengthen analytical maturity across the company.
  • Support commercial and custom applications through configuration, administration, and maintenance.
  • Required Qualifications

  • Bachelor’s degree in a STEM discipline (Computer Science, Engineering, Math, etc.).
  • 10+ years overall experience in data engineering or analytics roles.
  • 5+ years designing and maintaining ETL / ELT pipelines.
  • 5+ years experience with data warehouses and analytics platforms.
  • 5+ years strong SQL experience working with complex datasets.
  • 5+ years experience with business intelligence tools (Looker, Power BI, Sigma, Tableau, Cognos, etc.).
  • 5+ years scripting in Python or Scala.
  • 5+ years cloud experience , preferably AWS.
  • 5+ years working with data governance, data quality, and related tools.
  • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.).
  • Familiarity with the alternative investments / private equity / hedge fund domain preferred.
  • Strong communication, stakeholder management, and cross-team collaboration skills.
  • Ability to thrive in a fast-paced environment with multiple competing priorities.
  • U.S. Citizen or Permanent Resident only (ITAR requirement).
  • Must work onsite 3–4 days / week in Minneapolis — no remote or hybrid exceptions
  • Note : This role requires U.S. Citizenship or Permanent Residency (ITAR compliance). Candidates must already live in Minneapolis or be willing to relocate prior to start. Onsite attendance 3–4 days per week is mandatory — no remote exceptions.

    Do not apply if you are OPT students with STEP OPT EAD; Due to ITAR Complaince, position requires USC or Green Card which is mandatory;

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    Senior Data Engineer • Minneapolis, MN, United States

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