Senior Data Engineer

Infinite Computer Solutions; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Infinite Computer Solutions in Dallas, TX is seeking a Senior Data Engineer to design, build, and scale enterprise data platforms supporting investment management across Private Credit, Structured Credit, Private Equity and Insurance.

You will design data warehouses, ETL/ELT pipelines, and analytics using Snowflake, Python, SQL, dbt and Azure, while integrating Arcesium ETL pipelines and data from Bloomberg, Refinitiv, and other providers. Strong data governance and reliability are required.

Qualifications

• 8+ years in data engineering.
• Expertise: Python, SQL, Snowflake, dbt, ETL/ELT, Azure.
• Hands-on with Arcesium ETL or Arcesium data platform implementations.
• Experience with REST APIs, data integration, and warehousing.
• Experience building reporting solutions using Power BI, Tableau, Looker, or Sigma.
• Background in Asset Management or Financial Services.

Responsibilities

• Design, build, and maintain enterprise data warehouses and ETL/ELT pipelines.
• Build scalable data solutions using Snowflake, Python, SQL, dbt, and Azure.
• Develop Arcesium ETL pipelines and integrate data from Arcesium and other platforms.
• Integrate data from REST APIs, SharePoint, Bloomberg, Refinitiv.
• Build reporting and dashboards with Power BI, Tableau, Looker, Sigma.
• Ensure data quality, governance, reliability, and uptime.
• Automate workflows and support AI/LLM-enabled data initiatives.
• Partner with stakeholders for end-to-end data solutions.

Skills

Data Engineering

Python

SQL

Snowflake

dbt

ETL/ELT

Arcesium ETL

Azure

Tools

Power BI

Tableau

Looker

Sigma

Azure

Job description

Fulltime with Infinite Computer Solutions

We are seeking an experienced Senior Data Engineer to design, build, and scale enterprise data platforms supporting investment management functions across Private Credit, Structured Credit, Private Equity, and Insurance.

Key Responsibilities

• Design, develop, and maintain enterprise data warehouses, ETL/ELT pipelines, and data integrations.
• Build scalable data solutions using Snowflake, Python, SQL, dbt, and Azure.
• Develop and support Arcesium ETL pipelines and integrate data from Arcesium and other investment platforms.
• Integrate data from REST APIs, SharePoint, Bloomberg, Refinitiv, and other third‑party data providers.
• Build reporting, semantic data models, and dashboards using Power BI, Tableau, Looker, or Sigma.
• Ensure data quality, governance, reliability, and operational stability.
• Automate workflows and support AI/LLM-enabled data initiatives.
• Partner with business and technology stakeholders to deliver end‑to‑end data solutions.

Required Qualifications

• 8+ years of experience in Data Engineering.
• Strong expertise in Python, SQL, Snowflake, dbt, ETL/ELT, and Azure.
• Hands‑on experience with Arcesium ETL or Arcesium data platform implementations and integrations.
• Experience with REST APIs, enterprise data integration, and data warehousing.
• Experience building reporting solutions using Power BI, Tableau, Looker, or Sigma.
• Background in Asset Management, Private Credit, Private Equity, Capital Markets, or Financial Services.

Preferred Qualifications

• Experience with Databricks, Azure Functions, Azure API Management, or Microsoft Entra ID.
• Knowledge of LLMs, Retrieval-Augmented Generation (RAG), or AI/ML applications in data engineering.
• Familiarity with Bloomberg, Refinitiv, PitchBook, Preqin, or other market data platforms.
• Experience with Portfolio Management, Investment Accounting, or Investment Book of Record (IBOR) systems.