Data Engineer (Python)

Connect Tech+Talent; United States; Remote; USD 170,000 - 720,000; Full time

Job summary

Connect Tech+Talent is seeking motivated Data Engineers to work with dynamic datasets, leveraging Python and cloud platforms. Responsibilities include developing ETL pipelines, handling geospatial and time-series data, and ensuring data integrity. Ideal candidates will be familiar with advanced data structures and have a knack for problem-solving.

Qualifications

• Expert in Python (Pandas, NumPy, GeoPandas, NetworkX, Requests).
• Proficient in SQL/NoSQL and web scraping.
• Familiar with geospatial data formats (shapefiles, GeoJSON) and Dask or Spark.

Responsibilities

• Develop and optimize ETL pipelines for structured and unstructured data.
• Build scripts for web scraping and metadata extraction.
• Ensure high data quality and validation.

Skills

Python

SQL

NoSQL

Web Scraping

Time-Series Data

Graph Data

Geospatial Formats

Cloud Platforms (AWS/GCP)

CI/CD

Orchestration Tools (Airflow/Prefect)

Job description

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Remote (Austin, TX (Preferred) or Dallas, TX (Other locations also considered)

Full Time

Work Authorization: USC, GC

We’re seeking highly motivated Data Engineers with strong Python skills, a solid grasp of data structures, and a passion for working with large-scale, complex datasets. Ideal candidates have experience transforming heterogeneous data into clean, unified databases ready for advanced analytics.

Responsibilities

1. Develop and optimize ETL pipelines for structured and unstructured data (APIs, maps, utility websites, web pages, images).

2. Build scripts for web scraping, crawling, and metadata extraction.

3. Use ML and other tools to extract and clean metadata from text and images.

4. Integrate terabytes of geospatial, graph, and time-series data (e.g., electricity grid information).

5. Architect systems to handle evolving network graphs and diverse metadata.

6. Ensure high data quality, validation, monitoring, and schema consistency.

7. Simplify and model complex infrastructure data for analysis and visualization.

8. Build APIs and cached data services for fast, intuitive UI interaction with large datasets.

Skills

Expert in Python (Pandas, NumPy, GeoPandas, NetworkX, Requests).

Proficient in SQL/NoSQL, web scraping, time-series, and graph data.

Familiar with geospatial formats (shapefiles, GeoJSON), Dask or Spark.

Working knowledge of cloud platforms (AWS/GCP), CI/CD, version control, and orchestration tools (Airflow/Prefect).

Strong problem-solving and clean, efficient coding practices.

Eagerness to learn and contribute to infrastructure-scale systems.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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