Haystack
← Back to Jobs
Technology

Sr. Data Engineer(Recent Banking and Finance Experience Must, 8+ Years overall)

Infinite Computer Solutions (ICS)Dallas, TX🇺🇸United StatesPosted 21 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Description:

Job Title: Sr. Data Engineer

Location: New York, NY / Dallas, TX / Rockville, MD / Miami, FL (Hybrid)
Type: Full Time/W2 with Infinite Computer Solutions

Job Summary:

Senior Data Engineer to help design, build, mature, and scale our data platform and infrastructure supporting front office, middle office, operations, accounting, and other firm functions. This is a hands-on role focused on data warehouse capabilities, integrations, reporting, and platform engineering in close collaboration with infrastructure, engineering, desktop support, and other members of the business applications/data team. Work begins with foundational capabilities and progresses to more advanced features over time.

Responsibilities

  • Data Management & Reporting
    • Design additional capabilities for the Client's data warehouses, including the usage of Large Language Models, Machine Learning automation and integration of unstructured data
    • Build and maintain data pipelines, ETL processes, and integrations across firm systems (including market data, MCP/SharePoint, portfolio data)
    • Ensure data quality, freshness, and reliability for reporting and analytics
    • Leverage APIs, MCPs and web services calls to load and extract data out of 3 rd party systems
    • Provide Data Analysis and ad-hoc reporting packs for front-office and middle-office users
  • Product Implementation and Development
    • Translate business requirements into technical designs and own projects through testing and adoption
    • Principal technical business analyst and developer on one or more Core systems implementation
    • Support multiple simultaneous time-sensitive projects (e.g. implementation of SaaS products, automation of manual workflows, data warehousing, etc.) with strong prioritization
    • Ensure a high standard of SLDC with focus on automated testing/regressions.
    • Align and contribute to the culture and overall vision/mission of the team.
  • Operations
    • Ensure the operational stability of data pipelines (including APIs and MCP servers) and downstream reporting
    • Create automation of routine tasks (using Copilot Studio, Power Automate, and similar tools)
    • Provide L2 support for provisioned applications
    • Ensure the operational stability of data pipelines and reporting
    • Maintain robust systems documentation
  • Technology Responsibilities
    • Stay abreast of technical best practices and new tools
    • Execute on Major Incident & Crisis Management Processes during unexpected issues
    • Assisting with other core technology projects as needed

Qualifications

  • 8+ years of hands-on data engineering experience working on enterprise financial technology implementations, financial data warehouse technology, custom workflow and reports development, and data integrations ideally in Private Credit domain
  • Strong data engineering tooling (Snowflake/Azure/Microsoft SQL, Pyton, dbt, ETL, data warehousing)
  • Experience integrating complex external data sources (MCP, SharePoint, market data platforms like Bloomberg, Refinitiv) via RESTful APIs or MCPs
  • Experience building semantic layers and reporting framework for business-facing dashboards/reports with Reporting & Business Intelligence technologies (e.g. Sigma Computing, PowerBI, Tableau, Google Looker)
  • Advanced knowledge of Data warehouse technologies (e.g. Snowflake, Databricks, Amazon Redshift, Azure Data) and associated tooling preferred
  • Strongly preferred experience:
    • Familiarity with Large Language Models (LLMs) or Machine Learning automation in data workflows
    • Azure ecosystem (Functions/Apps, API Management, Entra ID OAuth)
    • Semantic layer / ontology design or RAG grounding for enterprise data
  • Preferred Experience:
    • Experience implementing or configuring Portfolio Management / Order Management / Investment Book of Record Accounting systems
    • Experience configuring and deploying Large Language Models (LLMs) and Artificial Intelligence Machine Learning (AI/ML) technologies preferred
    • Experience working with Cloud tools (Azure or similar)
    • Regulated finance or equivalent audit, compliance, and risk management mindset
    • Working knowledge of alternative investments (Credit / PE) Asset classes and investment lifecycle
    • Familiarity with Market Data platforms (Bloomberg, S&P Markit, Refinitiv, Pitchbook, Preqin)
  • Bachelor or Master s Degree in relevant technical field
  • Demonstrate
    • Strong technical skills
    • Ability to independently translate business requirements into technical design and execute on development, owning the project through user testing and adoption
    • Excellent problem-solving skills
    • Ability to prioritize multiple simultaneous time-sensitive projects and tasks
    • A positive, customer-service-driven outlook
    • Strong verbal & written communication skills
  • Occasional travel to Miami may be required
  • Position may require on-call availability outside of working hours for scheduled changes, emergency Incident Management, and VIP requests

Skills

SQL
ETL
Looker
Machine Learning
OAuth
Snowflake
Tableau
Azure
Databricks
Redshift
dbt

Similar jobs