Senior Data Engineer

Reposted Yesterday
Austin, TX
In-Office
Expert/Leader
Financial Services
The Role
The Data Engineer will design and operate data architectures, pipelines, and services, collaborate with teams to develop solutions, and provide mentorship. Responsibilities include implementing ETL/ELT pipelines, ensuring data quality, and advising clients on technical capabilities.
Summary Generated by Built In
Job Description:
You may be a fit for this role if you: 
  • Have agency: feel empowered to influence outcomes, rather than being passive. 
  • 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. 
The successful candidate will be self-motivated and have a strong drive for learning and self-improvement while working within an engineering focused delivery team with cross-team departmental collaboration. Qualifications:  
  • Bachelor’s degree in a technical field or equivalent practical experience 
  • Deep expertise in designing and implementing various stages of Data lifecycle (from ingestion to distribution) using Snowflake as the core platform. 
  • 10+ years of experience with implementation of ETL/ELT pipelines, data governance, data quality controls, data version control, meta data management, and reporting analytics using cloud data technologies. 
  • Experience messaging and streaming platforms such as Kafka, RabbitMQ, or cloud-based messaging technologies. 
  • Experience with Python or equivalent dynamic languages 
  • Experience with C#, Java Typescript, or equivalent static languages 
  • Experience with Relational and Non-Relational databases and related schema design and development 
  • Working knowledge of Observability and DevOps concepts, tools, and continuous delivery pipelines. 
  • A deep understanding of cybersecurity best practices and a demonstrated ability to integrate best practices into development activities 
Preferred Competencies:  
  • Interest and ability to learn other coding languages as needed 
  • Ability to write in English fluently and idiomatically 
  • Advanced degree in a technical field or equivalent experience in engineering or practical experience 
  • Experience with agile/scrum methodologies 
  • Financial services industry experience 
  • Testing competencies with Test Driven Development, Behavioral Driven Development 
Experience with any of the following: 
  • Redis, PostgreSQL, MongoDB, SQL Server 
  • DBT, FiveTran etc. 
  • Numpy, Scipy, Pandas 
  • Airflow, Kafka, AWS, serverless/microservice architecture 

    

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. 

Top Skills

Airflow
AWS
C#
Dbt
Elt
ETL
Fivetran
Java
Kafka
MongoDB
Non-Relational Databases
Numpy
Pandas
Postgres
Python
RabbitMQ
Redis
Relational Databases
Scipy
Snowflake
SQL Server
Typescript
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The Company
HQ: Austin, TX
1,490 Employees
Year Founded: 1981

What We Do

Dimensional is a leading global investment firm that has been translating academic research into practical investment solutions since 1981. Guided by a strong belief in markets, we help investors pursue higher expected returns through a systematic investment process that integrates research insights with advanced portfolio design, management, and trading while balancing tradeoffs that can impact returns. Dimensional is headquartered in Austin, Texas, and has 14 global offices across North America, Europe, and Asia. As of March 31, 2022, Dimensional manages $659 billion for investors worldwide.

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