Senior Data Engineer

Gen II Fund Services LLC

$140K — $170K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or a related discipline
  • 4+ years' experience in data engineering with cloud data warehouses
  • 2+ years of experience specifically with Snowflake
  • Proficiency in dbt, SQL, or similar data transformation tools
  • Experience in data ingestion, especially using FiveTran
  • Familiarity with APIs and Python for pipeline construction
  • Knowledge of data architecture, security, and governance best practices

Responsibilities

  • Build and maintain a best-in-class data platform using Snowflake and dbt
  • Develop and manage end-to-end data pipelines from source systems to Power BI
  • Identify and prioritize future data product use cases
  • Ensure compliance with security and organizational standards
  • Assist with various projects and duties assigned by the Finance Team

Benefits

  • Hybrid work arrangement with three days in-office and two days remote
  • Comprehensive benefits package including discretionary bonuses
  • Opportunities for professional growth and shaping the data function
  • Collaboration with a cross-functional team driving business insights
Full Job Description
Senior Data Engineer - Finance/Data

Position Overview

We are looking for a Senior Data Engineer to develop the data capability at Gen II through driving high impact initiatives, initially aligned to the Finance function.

The ideal candidate will have a strong technical background in data engineering and experience working and communicating with business stakeholders. At Gen II you will be building on a newly established data platform, initially to support the financial planning and analytics team to drive better commercial decision making but quickly extending into other areas across all business functions at Gen II.

This role provides opportunities to grow and shape the data function as it expands to be cross-functional and drive business insights across the business.

Primary Responsibilities Will Include:

  • Building and maintaining a best-in-class data platform built on Snowflake and dbt.
  • Building and maintaining end-to-end data pipelines, from source systems (Intacct, Salesforce, etc.) to end consumers primarily in Power BI.
  • Identifying and prioritizing future use-cases for data products in Gen II.
  • Ensuring strict compliance with security and organizational standards are maintained within the boundaries of the data platform.
  • Assist with other projects and duties as assigned by the Finance Team.


Job Requirements, Skills, Education and Experience:

  • Bachelor's degree in Computer Science or similar/ related discipline.

  • 4+ years' experience in data engineering, primarily working with cloud data warehouses and data pipelines.
    • 2+ years Snowflake experience is required.
    • dbt, SQL or similar Data Transformation/ Data Modelling experience is required.
    • Must have experience with Data Ingestion, preferably using FiveTran
    • Experience using APIs and Python to build pipelines

  • Knowledge & understanding of data architecture and modelling including the implementation of enterprise security and governance.
  • Knowledge of programming best practices and familiarity with Azure DevOps for documentation and governance
  • Experience leading/ managing a team of data engineers
  • Ability to prioritize and organize multiple parallel workstreams.
  • Strong interpersonal skills, both written and verbal.
  • Strong commercial understanding of the value of data and potential use cases it underpins.


The salary range for this position is $140,000 - $170,000, in addition to a discretionary bonus and comprehensive benefits package. Please note that the actual salary offered within that range will depend on the candidate's experience level.

Work Arrangement

All applicants applying to Gen II Fund Services, LLC must be legally authorized to work in the United States. Please note that all US employees are required to work a hybrid schedule, comprised of three (3) days a week in our office and two (2) days remotely.

https://gen2fund.com/candidate-privacy-statement/

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