Lead Data Engineer (Remote Work Eligible)

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:

About Dimensional:

Dimensional was built around a set of ideas bigger than the firm itself. With a confidence in markets, deep connections to the academic community, and a focus on implementation, we go where the science leads, and continue to pursue new insights, both large and small, that can benefit our clients.

The Technology Department at Dimensional leverages the rapidly evolving state of the art to engineer scalable, innovative, and research driven solutions to improve our client’s financial lives.

Data Engineers at Dimensional participate in the design and development of data solutions across an array of domains from Research and Investments to Sales and Marketing; collaboratively developing MVPs to test their ideas and rapidly iterate with constant feedback from users. Dimensional invests heavily in developer tools, platforms, paradigms and experience enabling teams to provide modern solutions that contribute profoundly to our client’s success.

We are looking for a Senior Data Engineer to join our team and drive company success by helping Dimensional leverage its critical data. The most important qualifications are a passion for driving business value through quality data solutions and high enthusiasm for learning new technologies and approaches to solving complex business problems

You may be a fit for this role if you:

• Are open-minded, curious, and resourceful
• Are passionate about/stay current with modern technologies
• Solve problems systematically and transparently
• Share ideas, solicit/integrate feedback, design and solve collaboratively
• Take a software engineering approach and demonstrate automation and security mindsets

What you might work on:

As a data engineer at Dimensional, you will have the opportunity to understand the users’ needs and solve problems like database and schema design and engineering, ETL pipelines, APIs, and microservice design and engineering.

• Accountable for the design, engineering and ongoing operations of robust, secure, and maintainable data architectures, pipelines, and services.
• Collaborate with data stewards, database administrators, platform engineers, developers, and site reliability engineers to develop and launch solutions for data ingestion, validation, quality control, integration, storage, management, and delivery. 
• Independently work with clients to transform business objectives into technical designs, applications, and solutions. Participate in and contribute to the design of agile teams and ceremonies.
• Stay current on technology trends by learning and evaluating modern technologies. Advise business clients on technical capabilities as a data service-provider / expert.
• Participate in code reviews and contribute to making continuous improvements to the team’s dev ops processes. 
• Provide mentorship to junior team members and provide strategic input to senior management across various business and technology units.
• Provide operational support for production incidents as needed.

The successful candidate will be self-motivated and have a strong drive for learning and self-improvement.

Qualifications:

• Bachelor’s degree in a technical field or equivalent practical experience
• 10+ years of software development experience in a professional and/or academic setting
• 10+ years of engineering solutions with a specific emphasis on data modeling, architecture and warehouse/lake engineering
• Experience with Python, Ruby, JavaScript, or equivalent dynamic languages
• Experience with C#, Java, C/C++, Typescript, or equivalent static languages
• Experience with Relational and Non-Relational databases and related schema design and development
• Working knowledge of DevOps concepts, tools, and continuous delivery pipelines
• A deep understanding of cybersecurity best practices and a demonstrated ability to integrate best practices in development activities

Preferred Competencies:

• Interest and ability to learn other coding languages as needed
• Ability to write in English fluently and idiomatically
• Advanced degree or equivalent experience in engineering, computer science or other technical related field
• Experience with agile/scrum methodologies
• Financial services industry experience
• Experience with any of the following:

• Redis, PostgreSQL, MongoDB, SQL Server, Snowflake/Redshift
• Airflow, Kafka, AWS, serverless/microservice architecture
• TDD, BDD, Numpy/Scipy/Pandas, Ansible

#LIRemote

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.