Senior Data Engineer

Notes to applicants:

• This position is eligible for full-time remote work in Texas, or North Carolina, or, in the alternative, to work in accordance with Dimensional’s office- first hybrid approach which involves working in the office on Tuesdays, Wednesdays and Thursdays, and the choice to work in the office or remotely, depending on what is best for your work day, on Mondays and Fridays.

• Resumes and portfolios (when applicable) are required as part of your application. When applying from a mobile device or tablet, you may not be able to attach a resume. If you cannot include an attachment at the time of your application, you will receive a follow up email asking you to attach your resume from a computer.

• Here at Dimensional, we strive to be an inclusive workplace for all. Even if you do not match every qualification listed, if you are interested in who we are, what we do, and why we do it, we suggest and encourage you to apply.

• If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, such accommodation is available upon request.

Job Description:Dimensional’s goal is to improve our client’s lives by improving the way that they invest. To achieve that goal the engineering team emphasizes collaboration, learning, and innovation to focus on and solve the firm's most important business problems. As a member of the team, you will have the opportunity to understand our client's needs, collaborate on the design of solutions, and work with emerging data engineering tools and best practices. We are working on developing an exciting new suite of products that are core to the firm’s strategy and support our client’s evolving needs. Specifically, we are building technology using modern ETL toolsets to enhance our data engineering framework. This framework will support portfolio management, research, trading, and other critical functionalities within our firm. In this role, you will design, develop, document, and test multiple application services focusing on building scalable ETL tools and data services. You will also expand and optimize our data and data pipeline architecture. As a successful candidate, you demonstrate strong technical and analytical ability as well as are detail oriented and passionate about building data pipelines. Also, you enjoy optimizing data systems and building them from the ground up. The level of seniority for this position is negotiable based on experience. Responsibilities

• Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality. 
• Collaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans. Advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies. 
• Identify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery. 
• Write unit/integration tests, contribute to engineering wiki, and write detailed documentation 
• Build and enhance CI/CD pipelines and develop supportable solutions. 
• Participate in code and design reviews. 
• Provide technical troubleshooting and support for production systems.

Qualifications 

• Bachelor’s degree in computer engineering, math, computer science, or a related field 
• 3+ years of experience in software development with Python
• Working knowledge of .Net Framework and programming with C#
• 3+ years of SQL experience (No-SQL experience is a plus) 
• Proficiency in building RESTful APIs and web services
• Working knowledge of message queuing, stream processing, and event-driven architecture 
• Familiarity with SOLID principles and Domain driven design
• Experience with or knowledge of Agile Software Development methodologies 
•  Knowledge of best practices and IT operations in an always-up, always-available service 
• Strong analytical and problem-solving skills 
• Effective written and verbal communication skills with a keen sense of customer service 

Preferred Qualifications 

• Experience with the following: 
  • ETL 
  • Airflow 
  • Data Warehousing 
  • Kafka 
  • RabbitMQ 
  • Redis 
  • Mongo 
  • Elastic stack 
  • Docker 
  • Kubernetes 
• Financial services industry knowledge or experience a plus 

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.