Howard
Engineer Data Scientist
HowardRomania2 days ago
ContractRemote FriendlyEngineering, Information Technology
About Howard Financial

Howard Financial is a full-service back-office solution for companies and entities with bookkeeping, payroll, and bespoke reporting needs that require accuracy, timeliness, and institutional-quality reporting without the burden of full-time staff.

We are an experienced team of bookkeepers and administrators with multiple decades of combined experience across industries allowing companies to focus on their core business while we handle the rest.

Founded in 2023, our team of 60 professionals supports ~40 clients across a diverse range of industries. We recently reached $5M of contracted ARR and are growing rapidly (over 150% MRR growth YTD).

Role Overview

You will be the first member of our engineering & data science team, working directly with the founders,

finance leads, and operations. Your mission is to design and implement tools that make financial operations

Seamless

  • Automate data pulls and ETL pipelines from client systems into reporting environments
  • Build API integrations between accounting platforms, banks, payroll, and CRMs
  • Develop scripts/workflows to reduce repetitive bookkeeping and close tasks
  • Prototype dashboards and models that surface insights for finance teams and clients

This is a hands-on role with significant impact: you’ll shape the technical stack, standards, and culture for

a new discipline inside Howard.

Key Responsibilities

  • Architect, develop, and maintain integrations with third-party APIs (e.g., QuickBooks, NetSuite, Xero,

Gusto, Stripe, Plaid, bill-pay platforms)

  • Design and deploy ETL/ELT processes for financial and operational data
  • Build internal automation tools for reconciliations, journal entries, and management reporting
  • Collaborate with accountants/CFOs to translate workflows into code
  • Own technical documentation, testing, and version control
  • Establish best practices for security, data integrity, and scalability

Ideal Background & Experience

  • 3–6+ years in software engineering, data engineering, or applied data science (startup or product-

oriented roles preferred)

  • Solid experience with Python (pandas, FastAPI/Flask/Django), and/or Node.js
  • Experience with SQL (PostgreSQL, MySQL, Snowflake, BigQuery, or Redshift)
  • Familiarity with accounting/finance data (ERP, general ledger, banking, payments) is a big plus
  • Proven record of integrating multiple APIs and building automation scripts
  • Exposure to cloud infrastructure (AWS, GCP, or Azure) — deploying serverless apps, Lambda/Cloud

Functions, or containerized services

  • Knowledge of modern data stack: dbt, Airflow/Prefect, Fivetran/Stitch, or similar tools
  • (Bonus) Experience in BI and visualization (Looker, Metabase, Tableau, Power BI, or Streamlit)
  • (Bonus) Understanding of accounting workflows: A/P, A/R, payroll, bank recs, accruals, reporting

Key Attributes

  • Entrepreneurial mindset: comfortable in ambiguity, excited to build from zero
  • Strong communication skills — able to partner with finance pros who aren’t engineers
  • Pragmatic and scrappy; balances MVP speed with long-term maintainability
  • Attention to detail and a bias toward secure, auditable solutions

Education

  • Bachelor’s in Computer Science, Data Science, Information Systems, or related field (or equivalent

real-world experience)

Why Join Us

  • Shape the engineering culture of a fast-scaling finance firm
  • Solve high-impact problems at the intersection of tech and accounting
  • Work closely with founders and leadership; your work directly drives efficiency and margin
  • Competitive salary, equity potential, and flexible/remote environment

Key Skills

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