ION Group

Senior Data Engineer, US

New York, New York, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries

Requirements

Candidates must possess 8+ years of experience in delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards. Advanced proficiency in Python, including data processing libraries like Pandas and PySpark, is essential. Strong hands-on experience with the AWS data stack (S3, Glue, Athena, EMR, SageMaker) and orchestration/warehousing tools such as Airflow and Snowflake is required. A proven track record of building pipelines that support Data Science workflows, including feature engineering and model-ready datasets, is necessary. Experience with end-to-end development processes, including CI/CD, automated deployments, code reviews, and delivering high-quality, production-ready code, is also required. Strong problem-solving skills for debugging complex issues and optimizing performance, along with excellent interpersonal and organizational skills for collaboration across teams, are crucial.

Responsibilities

The Senior Data Engineer will design, build, and maintain scalable data platforms and pipelines using Python, Airflow, Snowflake, and AWS services, ensuring performant, reliable, and high-quality delivery. They will partner closely with Data Scientists to transform raw data into curated, model-ready features and establish practices like feature stores for consistency and reuse. The role involves applying data quality, lineage, and governance practices to ensure datasets and features are trusted, reproducible, and well-documented. Responsibilities also include collaborating with stakeholders across business, research, and technology teams to align on requirements and priorities, and producing clear technical documentation for testing, training, and delivery.

Skills

Python
Airflow
Snowflake
AWS
S3
Glue
Athena
EMR
SageMaker
Pandas
PySpark
Data Pipelines
Feature Engineering
Machine Learning
Data Warehousing
Data Governance
Data Lineage
Data Quality
SQL

ION Group

Automation technology for financial sector clients

About ION Group

ION Group specializes in automation technology tailored for the financial sector, primarily serving institutional clients like investment banks, asset managers, and brokers. The company provides advanced software solutions that enhance trading, processing, and risk management activities in global financial markets. ION's products include sophisticated software platforms and APIs that enable clients to connect seamlessly to various trading venues and exchanges, ensuring efficient and accurate transactions. Unlike many competitors, ION stands out by acquiring entrepreneurial firms, which allows it to remain agile and responsive to market changes. The company's goal is to enhance efficiency and reduce operational risks for its clients through automation and innovative technology.

London, United KingdomHeadquarters
1998Year Founded
$426.5MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, FintechIndustries
5,001-10,000Employees

Benefits

Health, dental, and vision insurance
AD&D and disability insurance
Flexible spending account
Health savings account
Life insurance
Mental health care
401K plan
Performance bonus
Supplemental workers' compensation
Family medical leave & parental leave
PTO, paid holidays, sick days, bereavement leave, and volunteer time off
Commuter checks
Company social events
Employee assistance program
Free lunch
mobile phone discount

Risks

Complexity in consolidating trading platforms may lead to operational inefficiencies.
US Treasury market's clearing mandate could impose significant compliance costs.
Potential global tariffs by Trump administration may disrupt ION's global operations.

Differentiation

ION Group specializes in automation technology for the financial sector.
The company offers sophisticated software platforms and APIs for seamless trading.
ION Group constantly innovates to enhance efficiency and reduce operational risks.

Upsides

Increased demand for automation drives innovation in AI-driven trading platforms.
The rise of DeFi creates opportunities for blockchain integration in financial services.
Growing importance of ESG criteria pushes adoption of efficient reporting tools.

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