Senior Data Engineer

Job not on LinkedIn

🔥 34 minutes ago

🇺🇸 United States – Remote

💵 $140k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Current

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

💼 Consulting

🏢 Enterprise

B2B • Consulting • Enterprise

Current is a platform (formerly Crete Professionals Alliance) that empowers independent accounting firms to scale by combining technology, talent, capital, and strategy. Founded in 2023, Current operates a growing network of partner firms (the site cites 48 firms, 2k+ employees across 39 states and 3 countries) and provides services that help firms accelerate growth without sacrificing independence. Its offerings and capabilities emphasize tech transformation (automation, AI, streamlined workflows), global service delivery, M&A and strategic expansion, talent continuity, brand & marketing, and shared operational infrastructure. Current notes that it is not a licensed CPA firm; subsidiary entities provide non-attest tax, advisory, and other services, and network firms participate in an alternative practice structure.

📋 Description

• Build and maintain tested, documented dbt models across bronze, silver, and gold layers • Create reusable business models and consistent metric definitions • Refine canonical models for firms, clients, employees, projects, time, WIP, invoices, cash receipts, and revenue • Reconcile financial and operational data to source systems • Investigate discrepancies and build measurable data-quality controls • Create entity crosswalks and historical logic for acquisitions, firm migrations, and source-system changes • Build and improve ingestion from SQL Server, cloud databases, SaaS platforms, and APIs using Python and SQL • Design incremental, idempotent loads and support reliable backfills • Implement automated tests, freshness checks, schema-change monitoring, alerts, logging, and operational documentation • Partner with engineering colleagues on secure access, firm- and user-level data isolation, and Databricks/dbt performance and cost efficiency • Translate business requirements into reusable data products and documented data contracts with Operations, Finance, HR, and Engineering • Contribute to Git-based development, CI/CD, code reviews, and shared engineering standards • Learn the existing platform and align priorities for core models, reconciliation gaps, and the data platform roadmap • Deliver priority dbt models with definitions, tests, documentation, and source traceability • Establish reconciliation checks and exception reporting for priority financial data • Mentor teammates and help shape engineering standards

🎯 Requirements

• 5+ years in data engineering, analytics engineering, or a related role • Equivalent depth of relevant experience welcomed • Advanced SQL and strong production data-modeling skills • Experience with dimensional models, historical data, and reusable business definitions • Deep production experience with dbt, including testing, documentation, macros, dependencies, and deployment workflows • Ability to reconcile financial and operational data and investigate system discrepancies • Strong Python skills and experience building ingestion or automation against APIs, databases, and external systems • Understanding of incremental loading, change capture, idempotency, backfills, and schema evolution • Experience with Git, code review, CI/CD, data-quality monitoring, and production data pipelines • Working knowledge of least-privilege access, sensitive-data handling, and secrets management • Willingness to learn Databricks • Clear written and verbal communication, strong ownership, and sound judgment • Preferred: Databricks, Delta Lake, Unity Catalog, SQL warehouses, Databricks Jobs and Workflows • Preferred: Azure, Azure Blob Storage, Windows-hosted ingestion, or on-premises SQL Server environments • Preferred: Accounting or professional-services data, including billing, WIP, revenue, or financial reconciliation • Preferred: Aiwyn, Practice CS, CCH Axcess, NetSuite, or UKG • Preferred: Multi-firm or multi-tenant data platforms, row-level security, entity mapping, and historical reporting continuity

🏖️ Benefits

• Health, Dental, and Vision Insurance, with options for fully paid employee-only health and dental coverage • Company-Paid Life and Long-Term & Short-Term Disability Insurance • Supplemental life insurance, critical illness, and accident insurance • Classic Safe Harbor 401(k) Plan with employer contributions • Professional growth, learning, and development opportunities • Access to Becker and LinkedIn Learning • Fully remote environment • Light travel for occasional in-person collaboration