Cyberhill Partners, INC · Austin, TX

Salary
$120,000–$180,000
Posted
Jul 12, 2026
Location
Austin, TX
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A Python-focused software engineering role centered on building data ingestion pipelines, API connectors, and integration services that feed machine learning and analytics workflows. The work involves handling unstructured data sources such as documents, text, and media, deploying services on cloud platforms, and collaborating with data scientists to operationalize models. Suits engineers with several years of production Python experience and a data engineering background.

Mid level · 3+ years · Remote · Full-time

Pay in the description: $120,000–$180,000

Must have (6)
PythonRESTAWS, GCP or AzureGitCI/CDDocker
Nice to have (6)
PandasPySparkFastAPIApache AirflowMLOpsNLP

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 40,200 people nationally plausibly meet what this posting asks for (software developers). range 24,100–60,500

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Docker53%Python51%CI/CD45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

The role is classified as Software Developers (15-1252) rather than a data engineering SOC (15-1243) because the primary day-to-day work is writing production Python code and building API connectors/services; data pipeline work is a significant but secondary concern. The alt SOC reflects the meaningful data engineering component.

The job title carries no seniority level ('Software Engineer' with no modifier), so advertised seniority is Unspecified. The 3–6 year experience range and scope of responsibilities (independent delivery, cross-functional collaboration) support a Mid-level classification.

Cloud platform requirement lists AWS, GCP, or Azure as interchangeable options — AWS is listed as the primary with the others as alternatives.

Docker is listed in the required qualifications under 'containerized environments (e.g., Docker)'; the 'e.g.' qualifier means Docker is the named example of a hard-gated capability, so it is treated as required with no alternatives listed (the requirement is containerization broadly, but Docker is the only tool named).

Data storage formats (JSON, Parquet, SQL, NoSQL) and databases appear only under Preferred Qualifications and are not extracted as individual skills since they name formats/categories rather than specific named tools/products.

Unstructured data experience is listed as a required qualification but names no specific technology or tool, so it is not emitted as a skill per extraction rules.

This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.

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