Software Engineer (Data Focused)

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

Data Focused Software Engineering Role | Boston Based | Series A Startup!!

This is a Python-focused Software/Data Engineering opportunity with a profitable Series A startup based in Boston. You'll join a smaller team of engineers building and scaling cloud-native data pipelines that process complex datasets.

This is not a web engineering role. The focus is on data processing, infrastructure, and pipeline development, with significant exposure to the data that powers the company's product.

What You'll Work On

• 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

Technologies

• Python
• Kubernetes
• AWS Step Functions
• Pandas
• GeoPandas
• GDAL
• Rasterio
• Xarray

Compensation: $120k - $160k + Benefits + Equity

Work Environment: Hybrid (2 days/week)

Why It's Interesting

• Profitable Series A company that raised funding roughly a year ago
• Small, collaborative engineering team with high visibility and ownership
• Direct exposure to the data and business impact of your work
• Hybrid schedule with an office in Back Bay
• Opportunity to work at the intersection of data engineering, cloud infrastructure, and geospatial technology
• Real opportunity to grown into a more leadership focused role!

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.