Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 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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PadSplit

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🏨 Hospitality

🏗️ Construction

📦 Logistics

💰 $20.5M Series B on 2021-11

Hospitality • Construction • Logistics

PadSplit is a platform that focuses on affordable co-living solutions, allowing individuals to rent private rooms in shared homes across various cities in the United States. By offering flexible stays with trusted identity and screening measures, it aims to create a safe and homey environment for its members. PadSplit markets itself as a more affordable option compared to other room rental services and helps members save money and build credit. The company also provides an opportunity for property owners to earn and make a positive impact in their communities by hosting rooms. PadSplit is recognized for its innovative technology and affordable housing solutions.

📋 Description

• Build and maintain ingestion and transformation pipelines across Dagster or Airflow, dbt, Snowflake, Python, Airbyte, and AWS • Open and merge pull requests for Dagster jobs, assets, schedules, sensors, dbt models, tests, and documentation • Write occasional Terraform for secrets, environment variables, or job sizing • Build and debug Python pipelines for REST/API syncs, large Postgres extracts, Parquet loads, and Snowflake COPY operations • Configure and troubleshoot Airbyte connections • Monitor production runs and investigate IAM, OOM, Spot instance, and watermark failures • Run backfills and incremental catch-ups • Partner with analytics and product teams on dimensional/fact model design, incremental strategies, and data quality • Participate in code review and release preparation • Write runbooks for operating pipelines • Complete the interview process with PeopleOps, the Principal Data Scientist, key stakeholders, and a company leader

🎯 Requirements

• Solid grasp of relational databases and warehouse patterns — keys, grain, normalization vs. star schema, and how SCD behavior gets encoded • Practical, hands-on Dagster (or Airflow) experience • Real experience building and maintaining models, tests, and documentation in dbt • Comfort reading and writing Python that moves data at scale across extract, transform, and load steps • Practical familiarity with S3, IAM, and ECS/Fargate at a "debug my job" level • Experience with Airbyte or similar extract-and-load tools • Discipline to write pull requests others can easily review and to give equally rigorous reviews • Track record of keeping pipelines healthy and modeling consistent across full refresh and incremental paths • Must be authorized to work in the United States and complete the I-9/E-Verify process

🏖️ Benefits

• Fully remote position • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity • National medical, dental, and vision healthcare plans • Company provided life insurance policy • Optional accidental insurances, FSA, and DCFSA benefits • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays • 401(k) plan • Twelve (12) weeks of paid time off for both birth and non-birth parents • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis