Data Acquisition Engineer: Ingest & Normalize Financial Data

Polygon.io; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

Polygon.io is looking for a Data Acquisition Engineer to lead the ingestion, parsing, cleaning, and structuring of large external datasets used across our financial data platform. You will work with various datasets and design technical onboarding processes for integrating them efficiently.

The ideal candidate has experience with financial datasets, strong programming skills in Python and SQL, and is capable of developing automated workflows. Join us in transforming messy data into reliable insights.

Qualifications

• Direct experience working with financial datasets at a hedge fund or major financial data provider.
• Proven track record onboarding or structuring large, complex financial datasets.
• Strong proficiency in Python and SQL for data processing.

Responsibilities

• Own technical onboarding of external datasets, including parsing and transforming data.
• Develop reproducible ETL/ELT workflows to clean and normalize datasets.
• Implement data quality checks and troubleshoot inconsistencies.

Skills

Python

SQL

ETL/ELT workflows

Data storage management

Parquet

Data quality checks

Tools

DataFusion

DuckDB

S3-compatible object storage

Job description

Polygon.io is looking for a Data Acquisition Engineer to lead the ingestion, parsing, cleaning, and structuring of large external datasets used across our financial data platform. You will work with various datasets and design technical onboarding processes for integrating them efficiently.

The ideal candidate has experience with financial datasets, strong programming skills in Python and SQL, and is capable of developing automated workflows. Join us in transforming messy data into reliable insights.