Senior Data Engineer
Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 6, 2026. Current scores B on the Alion truth index.
About the Company
At Current, everything starts with people. We believe that when you invest in talent through opportunity, development, and support, you unlock growth for individuals, firms, and clients alike. That’s why we’ve built a platform designed to give our people access to more: more learning, more collaboration, and more ways to grow their careers than any single firm could offer on its own.
Founded in 2023, Current has rapidly become one of the fastest-growing accounting platforms in the country, partnering with more than 40 leading accounting firms across the United States. Today, our community includes over 2,000 professionals, 30+ offices nationwide, and a growing global workforce that supports clients around the world. Backed by Thrive Capital, Bessemer Venture Partners, and Springdale Industries, Current is investing heavily in technology, artificial intelligence, and workforce innovation to help modernize the profession. Our leadership team has a proven track record of building and scaling successful businesses, with prior ventures generating more than $3 billion in combined enterprise value.
We’re building something bigger than a traditional accounting firm: a platform where talented people can grow faster, learn more, and do more meaningful work. Whether you join Current, one of our partner firms, or our global team, you’ll be part of a community shaping the future of the profession.
About the role
Current is building a scalable data platform for a growing network of accounting and advisory firms. We connect operational and financial data across firms to support faster closes, better decisions, and healthier margins.
We are looking for a hands-on Senior Data Engineer to strengthen that foundation. Your initial focus will be core dbt models and financial reconciliation: creating consistent definitions, connecting data across systems, and ensuring that reported results tie back to source records. Your work will support analytics, applications, and automation used by firm and enterprise leaders.
You will work alongside our Lead Analytics Engineer and Data Analyst, sharing architecture decisions with your manager and engineering colleagues. This is an individual-contributor role focused on data engineering and modeling, with opportunities to mentor teammates and shape engineering standards.
What You Will Do
Build and maintain tested, documented dbt models across bronze, silver, and gold layers, with particular emphasis on reusable business models and consistent metric definitions.
Refine canonical models for firms, clients, employees, projects, time, work in progress (WIP), invoices, cash receipts, and revenue.
Reconcile financial and operational data to source systems. Investigate discrepancies and build controls that make data quality measurable and exceptions actionable.
Create entity crosswalks and historical logic that preserve reporting continuity through acquisitions, firm migrations, and changes in source systems.
Build and improve ingestion from SQL Server, cloud databases, SaaS platforms, and APIs using Python and SQL. Design incremental, idempotent loads that protect source performance and support reliable backfills.
Strengthen production reliability through automated tests, freshness checks, schema-change monitoring, alerts, logging, and clear operational documentation.
Partner with engineering colleagues to implement secure access and firm- and user-level data isolation and improve the performance and cost efficiency of Databricks and dbt workloads.
Work with Operations, Finance, HR, and Engineering to translate business requirements into reusable data products and stable, documented data contracts.
Contribute to Git-based development, CI/CD, code reviews, and shared engineering standards.
Your First Six Months
Understand the existing platform and align on near-term priorities for core models, reconciliation gaps, and the data platform roadmap (today’s state and where we want to take it).
Deliver priority dbt models with clear definitions, tests, documentation, and traceability to source data, supporting a current firm or finance need.
Establish repeatable reconciliation checks and exception reporting for priority financial data, reducing manual investigation and increasing confidence in downstream reporting.
Qualifications
5+ years in data engineering, analytics engineering, or a related role. We also welcome candidates with equivalent depth of relevant experience.
Advanced SQL and strong production data-modeling skills, including dimensional models, historical data, and reusable business definitions.
Deep production experience with dbt, including testing, documentation, macros, dependencies, and deployment workflows.
The ability to reconcile financial and operational data, investigate differences between systems, and explain the causes clearly to technical and business audiences.
Strong Python skills and experience building ingestion or automation against APIs, databases, and external systems.
Practical understanding of incremental loading, change capture, idempotency, backfills, and schema evolution.
Experience with Git, code review, CI/CD, data-quality monitoring, and supporting production data pipelines.
Working knowledge of least-privilege access, sensitive-data handling, and secrets management, plus a willingness to learn Databricks.
Clear written and verbal communication, strong ownership, and sound judgment about when to build a reusable solution and when to keep it simple.
Preferred Qualifications
Databricks, Delta Lake, Unity Catalog, SQL warehouses, or Databricks Jobs and Workflows. Prior Databricks experience is helpful; you can learn the platform in this role.
Azure, Azure Blob Storage, Windows-hosted ingestion, or on-premises SQL Server environments.
Accounting or professional-services data, especially billing, WIP, revenue, or financial reconciliation; systems such as Aiwyn, Practice CS, CCH Axcess, NetSuite, or UKG.
Multi-firm or multi-tenant data platforms, row-level security, or migrations that require entity mapping and historical reporting continuity.
Work Arrangement
This is a full-time role in a fully remote environment. Most of the team works in the Eastern Time zone. Light travel may be needed for occasional in-person collaboration.
Compensation & Benefits
The total rewards package at Current includes base salary and benefits.
Our salary ranges are competitive within the accounting industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
We provide a robust benefits package, including:
Health, Dental, and Vision Insurance (with options for fully paid employee only coverage for health and dental)
Company-Paid Life and Long-Term & Short-Term Disability Insurance
Ancillary Benefits such as supplemental life insurance, critical illness, and accident insurance
Classic Safe Harbor 401(k) Plan with employer contributions
Opportunities for professional growth, learning, and development including access to Becker and LinkedIn Learning
Equal Opportunity
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other applicable legally protected characteristic.