Data Pipeline Engineer (Python) — Hybrid + Equity

Huxley; Boston (MA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity

Benefits

Hybrid work

Job summary

Huxley in Boston is seeking a data-focused software engineer to build and scale cloud-native data pipelines. You’ll work with Python and geospatial datasets, deploying workloads on Kubernetes and using AWS Step Functions.

You’ll join a small team, own projects end-to-end, and contribute to data processing performance and reliability in a hybrid work environment with an office in Back Bay.

Qualifications

• Experience building data pipelines and ETL processes.
• Strong Python coding skills.
• Familiarity with geospatial data formats.

Responsibilities

• Building and maintaining large-scale data pipelines in Python
• Developing cloud-native workflows using AWS Step Functions
• Deploying and managing workloads in Kubernetes
• Working directly with geospatial and raster datasets
• Improving data processing performance, reliability, and scalability
• Collaborating closely with a small engineering team and taking ownership of projects end-to-end

Skills

Python

Data pipelines

Cloud workflows

Geospatial data

Kubernetes

Pandas

GeoPandas

Rasterio

GDAL

Xarray

AWS Step Functions

Tools

AWS Step Functions

Kubernetes

Pandas

GeoPandas

GDAL

Rasterio

Xarray

Job description

Huxley in Boston is seeking a data-focused software engineer to build and scale cloud-native data pipelines. You’ll work with Python and geospatial datasets, deploying workloads on Kubernetes and using AWS Step Functions.

You’ll join a small team, own projects end-to-end, and contribute to data processing performance and reliability in a hybrid work environment with an office in Back Bay.