Senior Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $148.8k - $181.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 4%

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.

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TopDog Law

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

📣 Marketing

⚖️ Legal

Consulting • Marketing • Legal

TopDog Law is a national marketing network and personal injury law firm brand that connects injured individuals with local counsel across the United States. The organization (including Helm Law Group, LLC) focuses on accident and injury cases — car and truck accidents, medical malpractice, birth injuries, nursing home abuse, sexual abuse, slip-and-fall, workers' compensation, and wrongful death — offering free case reviews and contingency-fee representation. TopDog Law operates a network of partner firms licensed in different states, maintains multiple offices nationwide, and emphasizes client communication, advertising-driven outreach, and connecting clients to local licensed attorneys.

📋 Description

• Own a business domain's data end-to-end and make ingestion reliable and metrics trustworthy • Design and build source-data ingestion using third-party connectors, APIs, webhooks, file drops, CDC, and batch loads • Handle schema drift, incremental/full-refresh strategies, idempotency, replayability, backfills, and late or duplicate records • Build data-quality tests, contracts, monitoring, freshness and volume checks, schema/type enforcement, referential and uniqueness constraints, reconciliation, and anomaly detection • Deliver the full domain pipeline, including ingestion configuration, raw landing, dbt staging and mart models, quality tests, orchestration DAG, and runbook • Translate stakeholder business definitions into correct, tested transformations and authoritative documentation • Architect clean, consistently grained, semantically unambiguous data as an AI-ready single source of truth • Implement monitoring, alerting, and observability; maintain freshness and uptime; optimize performance, compute utilization, and efficiency • Maintain version-controlled data infrastructure and CI/CD workflows • Establish reference implementations for ingestion and data quality • Review engineers' work, pair on difficult problems, mentor teammates, and collaborate with domain stakeholders • Partner with the Director of Data to implement platform strategy in reliable production systems

🎯 Requirements

• 5+ years building and maintaining production data pipelines • Expert-level dbt, including staging/mart architecture, incremental models, tests, macros, documentation, and exposures • Mastery of API-based data ingestion, including OAuth2/API-key authentication, token refresh, pagination, rate limiting, retry/backoff, and assembling incremental pulls • Expertise with webhooks, files, databases/CDC, schema drift, idempotency, backfills, and incremental loading • Strong track record designing data-quality frameworks with freshness, volume, reconciliation, anomaly checks, and alerting • Strong Python for production extraction, loading, and tooling • Fluent SQL • Hands-on experience with a modern cloud data warehouse; BigQuery or Snowflake preferred, comparable considered • Experience architecting a clean, documented, AI-ready single source of truth • Experience with Airflow, Dagster, or dbt Cloud jobs • Experience with Git in collaborative development environments

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) with company match • HSA • Life insurance • Disability coverage • Paid time off • Parental leave