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Bloomberg Software Engineer Jobs in Texas (NOW HIRING)

Work closely with engineering teams to test, evaluate, and refine our self-driving technology * Use ... Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million * Forbes: Hundreds' Of ...

Work closely with engineering teams to test, evaluate, and refine our self-driving technology * Use ... Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million * Forbes: Hundreds' Of ...

Knowledge of software packages including MS Word, Excel and PowerPoint * Working knowledge of ... including Bloomberg and S&P Capital IQ * Applicants must be currently authorized to work in the ...

Knowledge of software packages including MS Word, Excel and PowerPoint * Working knowledge of ... including Bloomberg and S&P Capital IQ * Applicants must be currently authorized to work in the ...

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... Experience selling technical SaaS and cloud-based software solutions * You have previous experience ...

Experience selling technical SaaS and cloud based software solutions * Basic understanding of ... Engineers * Experience with target account selling, solution selling, and using MEDDIC and ...

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Bloomberg Software Engineer information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do bloomberg software engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for bloomberg software engineer in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What does the typical day-to-day work look like for a Bloomberg Software Engineer?

As a Bloomberg Software Engineer, you'll spend your days developing and maintaining software solutions that power Bloomberg's real-time financial information systems. This involves a mix of designing scalable code, troubleshooting performance issues, participating in code reviews, and collaborating closely with product managers, data specialists, and other engineers. You can expect to work in an agile, team-oriented environment with frequent meetings focused on product development and solution brainstorming. The work is fast-paced but offers a rich opportunity to learn from talented peers and contribute to impactful, real-world financial technology.

What engineer makes $500,000 a year?

Senior software engineers at large financial firms or technology companies can earn $500,000 or more annually, often including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced technical skills, and sometimes leadership responsibilities or specialized expertise in areas like trading systems or high-frequency trading platforms.

What are the entry level jobs at Bloomberg?

Entry-level jobs at Bloomberg for software engineers typically include roles such as Software Engineer I or Associate Software Engineer. These positions often require a bachelor's degree in computer science or related fields, programming skills in languages like Java or Python, and familiarity with software development processes. They provide opportunities for recent graduates to gain industry experience and develop technical skills within the company's collaborative environment.

What is a Bloomberg Software Engineer job?

A Bloomberg Software Engineer is responsible for designing, developing, and maintaining the financial software and infrastructure that powers Bloomberg's data, analytics, and trading platforms. They work with technologies such as C++, Python, and JavaScript to build scalable and efficient systems. Engineers collaborate closely with product managers and financial analysts to develop solutions that meet the needs of Bloomberg's clients. The role requires strong problem-solving skills, knowledge of algorithms and data structures, and the ability to write clean, high-performance code.

What are the key skills and qualifications needed to thrive in the Bloomberg Software Engineer position, and why are they important?

To thrive as a Bloomberg Software Engineer, you typically need strong programming skills in languages such as C++, Python, or Java, a solid foundation in computer science, and a bachelor's degree in a related field. Familiarity with distributed systems, real-time data processing, and tools like Git or Jenkins is commonly expected, while industry certifications can be an advantage but are not mandatory. Excellent problem-solving abilities, teamwork, and effective communication are essential soft skills in this collaborative, high-paced environment. These competencies ensure you can deliver robust, scalable solutions and work effectively within Bloomberg's dynamic software engineering teams.

How much do Bloomberg software engineers make?

Bloomberg software engineers typically earn a base salary ranging from $100,000 to $150,000 annually, with total compensation including bonuses and stock options often exceeding $150,000. Compensation varies based on experience, location, and technical skills such as proficiency in C++, Python, or Java, as well as familiarity with financial systems and data analysis tools.

Can I make 200k a year as a software engineer?

Bloomberg software engineers can earn $200,000 or more annually, especially with seniority, specialized skills, and experience in high-demand areas like financial systems or data analysis. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires advanced technical expertise and a strong track record.
What are the most commonly searched types of Bloomberg Software Engineer jobs in Texas? The most popular types of Bloomberg Software Engineer jobs in Texas are:
Infographic showing various Bloomberg Software Engineer job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 25% In-person, 25% Hybrid, and 50% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.
Manager, Investment Engineering (Analytics Platforms)

Manager, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors, L.P.

Austin, TX • On-site

Full-time

Posted 10 days ago


Job description

Job Description:
Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data, which means managing data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external clients and reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional. The Analytics Platforms team creates tools for clients to understand Dimensional's products and analyze how they might fit inside a client's portfolio.
The foundation of all Analytics Platforms products is the Data Platform and serves as the data and computational engine of this ecosystem. This team is responsible for architecting and operating the centralized data platform that powers downstream analytics applications, feeds client-facing digital products, and enables self-service, ad hoc exploration for investment professionals.
Responsibilities
  • Lead the design, build, and evolution of a highly scalable, secure, and resilient data platform architecture that unifies multi-source investment data for batch and real-time processing.
  • Architect data infrastructure optimized to simultaneously serve high-concurrency client-facing digital tools and low-latency internal analytics applications.
  • Implement robust data patterns, discovery tools, and optimized compute layers to allow investment professionals and business units to run complex ad hoc queries efficiently without platform degradation.
  • Manage, mentor, and grow a team of high-performing investment engineers, maintaining a hands-on presence by participating in system design, writing core framework code, and conducting critical code reviews.
  • Establish comprehensive data quality frameworks, lineage tracking, and security controls to guarantee trust and compliance across all data products.
  • Collaborate with downstream application teams, product managers, and technology executives to define data contracts, SLAs, and infrastructure roadmaps that support company-wide data monetization and analysis.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Distributed Systems, or similar technical discipline. Relevant experience considered in lieu of specific degree.
  • 10+ years of hands-on data engineering experience, with a proven track record of architecting enterprise data platforms
  • Deep expertise in production Python, advanced SQL tuning, orchestrators (e.g. Airflow), comprehensive testing, and data transformation frameworks (e.g. dbt).
  • Strong experience designing robust APIs and streaming architectures (e.g. Kafka) to seamlessly serve data to external-facing web applications.
  • Master-level understanding of data warehousing concepts, semantic layer design, and diverse modeling methodologies tailored for financial markets or portfolio analytics.
  • 3+ years of direct engineering management experience, with a demonstrated ability to recruit top talent, interface with centralized Technology teams, and balance technical debt with feature delivery.
  • Familiarity with institutional investment datasets (e.g., security master, corporate actions, fundamental data, returns, or market data feeds from vendors like Bloomberg, FactSet, or MSCI).

This role is not eligible for immigration sponsorship.
Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.
It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.