Software Engineer - SQL ​/ Full Stack (Hybrid), Plano

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Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses.

We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates; if this describes you, please apply!

The Senior Software Engineer will collaborate with the Software Engineering team to design, develop, enhance, and maintain software applications. This role involves contributing to moderately complex aspects of projects, with work that is generally independent and collaborative.

• Contribute to the design, development, enhancement, and maintenance of full stack applications using the Agile/Scrum development process.
• Collaborate with client services teams, manufacturing, and other departments to define and understand business and technical requirements.
• Estimate the effort required for proposed projects with both clear and ambiguous requirements.
• Prioritize work for self and assist in guiding others to meet milestones and delivery deadlines.
• Perform other duties as assigned.

• Bachelor’s degree in Information Technology, Business, or relevant work experience.
• 4-7 years of experience in SQL / full stack technology development and maintenance (SQL, Python, C#, Java, Vue.js, Angular, React).
• Demonstrated knowledge of performance tuning and code optimization concepts.
• Experience in delivering multiple medium-sized projects or at least one large project from inception to deployment through the full software development lifecycle.
• Strong leadership and communication skills.
• Perform all work and activities with honesty and integrity.
• Take personal responsibility for productivity, quality, and timeliness of work.
• Communicate effectively, listening attentively and responding in a professional and timely manner.
• Challenge conventional practices and utilize creativity and information to contribute to innovative solutions and organizational growth.
• Support and meet company/department goals and core values.
• Collaborate with co-workers to achieve common goals.
• Strong problem-solving and analytical skills.

Must be able to perform the essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each work day), ability to hear the telephone, ability to enter data on a computer and may also require the ability to lift up to 10 pounds.

Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.