577 IT & Software Developer jobs in the US

Raven3 Real Estate jobs

Data science specialist

$100,000 - 110,000
Raven3 Real Estate
Coyote Run 10523, Remote + Remote (US)
$100,000 - 110,000
Company Size icon
Company Size
<50
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Expert-level Python programming skills (pandas, numpy, regex, BeautifulSoup, Scrapy, Selenium) - Significant experience in scraping government and court websites - Capability to work with messy PDFs (OCR, scanned documents) - Proficient in handling broken HTML - Familiarity with various county systems and their inconsistencies - Strong understanding of data normalization, entity resolution, and deduplication logic - Proficient in SQL (Postgres/MySQL preferred) - Experience managing extensive historical datasets from multiple sources - Exceptional attention to detail with a knack for spotting errors - Ability to work independently with minimal oversight - Highly preferred: Familiarity with OCR tools (Tesseract, AWS Textract, Azure Form Recognizer) - Highly preferred: Experience in handling legal, foreclosure, or real estate data - Highly preferred: Knowledge of New York court systems or public records - Highly preferred: Experience with Airflow, Prefect, or Dagster - Highly preferred: Understanding of cloud infrastructure (AWS, GCP, Azure) - Highly preferred: Familiarity with version-controlled data pipelines - Highly preferred: Experience creating datasets for revenue generation

Technologies

Airflow
numpy
pandas

Responsibilities

- Scrape foreclosure, auction, lien, judgment, and court data from various sources including county clerk sites and public records - Manage thousands of PDFs, scans, CSVs, XLS files, and HTML pages - Construct and maintain automated workflows to normalize data formats across counties - Extract key variables such as sale price, lien priority, and case status - Clean, deduplicate, and validate data with a strict policy of zero errors - Compile county-level and statewide master datasets - Monitor case lifecycle events including filing, judgment, and sale - Proactively identify anomalies, missing data, and inconsistencies - Document data sources, methodologies, and underlying assumptions clearly - Willingness to work extended hours when necessary, as this role demands high output

Description


We are on a mission to develop the most precise and extensive foreclosure database in New York State. This is a full-time, dynamic role where we seek a dedicated individual who thrives on large datasets and demonstrates a strong commitment to accuracy. You will have the flexibility to work remotely or in a hybrid setting, with a preference for candidates located in New York. We offer a competitive salary, performance bonuses linked to data accuracy and revenue impact, and opportunities for long-term growth as our data initiatives evolve into a cornerstone of our operations. In this role, you will take ownership of your work, contributing significantly to our mission.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Data Engineer salaries in the United States here.

How many Data Engineer jobs are in the United States?

Currently, there are 577 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the US a good place for Data Engineers?

The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the United States?

Murmuration, Snaplii, LawDepot, Theragraph Inc., DataDis Inc, Serena and Lily, Inc, VERSA Integrated Solutions among others, are currently hiring for Data roles in the United States.

The company with most openings is Intuit as they are hiring for 96 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.