Data Integration Software Engineer at S&P Global

Massachusetts, United States

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$115,000 – $135,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Investment Management, TechnologyIndustries

Requirements

Bachelor’s or Master’s Degree in Computer Science or significant experience with financial data
Experience in SQL Server development, including strong performance skills and management of roles and privileges
Good understanding of software development lifecycle methodologies like Agile
Knowledge of scripting languages such as Python, PowerShell, or Bash for data processing and automation tasks
Experience using SQL profilers
Experience with Snowflake and AWS resource management (plus)
Experience as a SQL administrator (big plus)
Familiarity with equity market basics
Excellent communication skills, both written and verbal
Passionate, smart, and articulate
Able to work well individually and with a team
Strong analytical thinker with strong problem-solving skills
Self-starter with a strong work ethic
Indefinite right to work in the United States

Responsibilities

Interface with clients, account managers, data sources, and developers to determine the requirements for data integration
Interpret requirements within user stories into actionable designs
Develop solutions from designs to support requirements using SQL and scripting
Optimize solutions for speed, memory, and CPU
Provide unit and integration tests of solutions
Document the solution for both development and client usage
Release new datasets and improvements to current datasets on a monthly release cycle
Serve as a subject matter authority on the dataset implementation
Develop tools for automation of testing
Develop tools for automation of release cycles for on-site, stand-alone, and AWS implementations
Broaden software engineering skills on platforms including SQL Server, Postgres, and Snowflake using t-sql and p-sql
Develop a deep understanding of equity markets and the data that drives them
Work closely with quant researchers and software engineers
Develop cloud-based data solutions on AWS

Skills

Key technologies and capabilities for this role

SQLT-SQLPL-SQLSQL ServerPostgresSnowflakeAWSScriptingData IntegrationUnit TestingAutomationEquity Markets

Questions & Answers

Common questions about this position

What is the salary range for this Data Integration Software Engineer position?

The anticipated base salary range is $115,000 to $135,000 for US candidates, with final salary based on geographic location, experience, skill set, training, licenses, and certifications. This role is also eligible for an annual incentive plan and additional S&P Global benefits.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key skills required for this role?

Required skills include experience in SQL Server development with strong performance skills and role/privilege management, good understanding of Agile methodologies, knowledge of scripting languages like Python, PowerShell, or Bash, and experience using SQL profilers. Plus skills include Snowflake, AWS resource management, and SQL administration experience.

What is the team like for this Data Integration Software Engineer role?

You will work as part of an agile team focusing on bridging ClariFI and datasets from clients, internal loaders, and third-party vendors, collaborating closely with quant researchers and software engineers.

What makes a strong candidate for this position?

Strong candidates have a Bachelor’s or Master’s in Computer Science or significant financial data experience, excellent communication skills, strong analytical and problem-solving abilities, and the ability to work well individually and in a team as a passionate self-starter.

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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