03 Sep
Data Integration Engineer
Pennsylvania, Philadelphia , 19019 Philadelphia USA

Vacancy expired!

This remote first company is changing the game in how we utilize location data. As an exciting, fast paced startup company, they have created the first toolkit that simplifies access to complex location data. Working with clients across several industries from real estate, to ecommerce, to healthcare and beyond, their custom API and tools will change the way companies access and utilize location data in ways they never have been able to before. They are now looking to hire a Data Engineer to join their team. They have built a data ingestion platform internally that will allow them to get new data from any source. They are looking for someone who can come in and continue the build and optimization of their pipeline that defines the properties of the dataset and reports quality metrics, making it easier for the data scientists to use that data. If you are a senior data engineer, highly skilled within data acquisition and data unification strategies, having worked heavily with Python, SQL, and scalable data warehousing within a cloud environment- this may be the role for you! Required Skills & Experience

  • Python
  • SQL
  • Cloud Experience
  • Data Warehouses
  • GitHub
  • Greenfield Data Pipeline Experience
  • ETL/Orchestration/Ingestion
  • Strong Communication Skills
Desired Skills & Experience
  • GCP
  • BigQuery
  • Geospatial Python libraries (Rasterio, Fiona, Shapely, Geopandas, etc.)
What You Will Be Doing Tech Breakdown
  • 100% Data Engineering
Daily Responsibilities
  • 100% Hands On
The Offer
  • Competitive Salary: Up to $140K/year, DOE
You will receive the following benefits:
  • 100% Company paid premiums for medical, dental and vision
  • 401k
  • 6 weeks full time + 6 weeks part time parental leave
  • Generous PTO
  • Professional Development funds
  • Charity Matching
  • Team off-sites (when it is safe)
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

Vacancy expired!

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