Senior Data Engineer

Build Asset Management Seattle , WA 98101

Posted 2 months ago

About Us

The United States isfacing a retirement crisis, with four out of fiveworking Americans having less than one years income saved in retirement accounts[1].This problem is approaching a tipping point, with 10,000 baby boomers retiring every day over the next 15 years.Whether through a lack of knowledge, a lack of the rightinvestmentproducts, or mistrust in the financial system,working Americans are at risk of not reaching their retirement goals.The retirement savings industryneedsinnovative investment solutions that inspire investor confidenceand make it easy for employers to encourage savings habits that will pay off in positive retirement outcomes.

At Build Asset Management, LLC, our mission is to narrow the retirement shortfall by giving investors the tools they need to confidently save for retirement. To achieve this we are launching simple, risk-controlled investment solutions that allow investors to select their desired level of asset protection while pursuing upside potential. These solutions can be adjusted to match career stage and savings goals, keeping investors motivated to plan for the long-term and stay invested. We believe these products will give investors a higher degree of quality, confidence, and risk management than whats available in the industry today. If we succeed, investors will succeed, because they will have the tools they need to build towards a better retirementuntil its time to start living it.

[1] National Institute on Retirement Security: https://www.nirsonline.org/reports/retirement-in-a...

Job Description

Merely measuring something has an uncanny tendency to improve it. If you want to make your user numbers go up, put a big piece of paper on your wall and every day plot the number of users. You'll be delighted when it goes up and disappointed when it goes down. Pretty soon you'll start noticing what makes the number go up, and you'll start to do more of that. Corollary: be careful what you measure.

- Paul Graham, Co-Founder, Y Combinator

Build is launching new financial products intended to narrow the retirement shortfall and our company will not succeed without thoughtfully architected data infrastructure enabling our products and operations, which require high degrees of data and computation. Build is looking for a visionary Data Engineer to architect Builds company-wide data infrastructure critical to our business operations and investment managements risk, fixed income, and equity derivative strategies. The ideal candidate is excited to build data infrastructure from the ground up, architecting the ideal infrastructure from day one, without the trappings of legacy systems. They are eager to occupy a high-visibility position within the company and be a critical component of Builds investment strategy, working directly with the C-suite, portfolio engineers, quantitative analysts, sales, and marketing functions. They will be comfortable dealing with ambiguity, defining/setting their own goals, influencing executives, and quickly iterating upon ideas.

Key Job Responsibilities

  • Design, develop, and support data pipelines, lakes, warehouses, and reporting systems to solve quantitative financial engineering, business operations, sales, and marketing use cases.
  • Architect solutions sourcing and synthesizing data from a multitude of different data sources, including but not limited to: investment management (Bloomberg, iVolatility, accounting, in-house sources), sales (Discovery Data, Salesforce), and marketing (Google, Facebook, Amazon).
  • Collaborate and influence user and product stakeholders to ensure Builds data architecture meets constantly evolving requirements.
  • Work closely with analysts, quantitative engineers, and portfolio managers to productionize various statistical, machine learning, and financial models using data processing pipelines.
  • Deploy and own robust data security protocols to ensure data privacy as well as adherence to industry compliance regulations.
  • Write and review technical documents, including design, development, and revision documents.
  • Participate in recruiting and hiring bar-raising talent across all functions of the business

Requirements

  • Bachelors degree
  • 4+ years of industry experience in software development, data engineering, business intelligence, data science, or relatedfield with a track record of manipulating, processing, and extracting value from large datasets
  • Demonstrated strength in data modeling, ETL development, data lakes, and data warehousing
  • Experience working with AWS technologies (EC2, S3, Redshift, Glue, Kinesis, Lambda)
  • Experience using big data and streaming data technologies
  • Experience using business intelligence reporting tools
  • Knowledge of data management fundamentals and data storage principles
  • Knowledge of distributed systems as it pertains to data storage and computing

Build Asset Management, LLC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Senior Data Engineer

Getty Images

Posted 3 months ago

VIEW JOBS 3/11/2020 12:00:00 AM 2020-06-09T00:00 Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer's hands, be it for a society-changing headline or a brand's next big campaign—truly moving the world with images. Who We Are: Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first place people turn to discover, purchase and share powerful content from the world's best photographers and videographers. Getty Images works with over 200,000 contributors and hundreds of image partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events, and impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. Getty Images is the starting point for our customers imagery search. Customers are confident that they are going directly to the best source of content, and that Getty's search engine will surface only the most relevant content to them and have the tools they need to refine and explore creatively. Our customers will be able to communicate effortlessly with Getty Images, in their quest to find the right imagery. Using text, voice, or visual channels, they will have the ability to describe their content needs creatively and thoroughly. Getty Images' search will eliminate the barrier that exists between a creative art director and a technical researcher. Who You Are: You are motivated by the technical challenges that come with structured and unstructured data at an enterprise level. Even more, you are energized by bringing solutions and innovations that help the business move forward. You are passionate about building data platforms, frameworks and driving insights from complex multi structured datasets. You are smart enough to condense Getty's business into domain driven data layers. Responsibilities include: * Outstanding analytical skills and excellent team player with bias-for-action mindset. * Build Data Platform frameworks to enable automation, self-service, access controls and data cataloging * Build simple front-end interfaces using Python and Python Web tools * Design, implement and deliver complete cloud based analytical solutions. * Design, build and maintain high performing ETL processes, including data quality and testing * Define and build technical/data architecture for data warehouse, data marts and big data solutions (including data and dimensional modeling) * Ensure scalability, monitoring and high performance of the platform * Design and implement Micro-services for Data processing * Mentor and provide technical guidance and thought leadership * Establish lean data governance to drive data standards and data quality. * Be an evangelist in the company for data-informed thinking and decision making. Requirements: * 10+ years hands-on experience with designing and implementing distributed architecture systems that can handle tera bytes of data. * Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS Cloud. * Hands-on working experience on AWS Redshift or Snowflake * Hands on experience designing, developing, and maintaining software solutions in Hadoop Production clusters. * Experience with continuous integration (CI) tools such as gitlab-ci, jenkins etc. * Experience in reporting and visualization tools such as Looker or Tableau * Experience in architecting and building data warehouse systems and BI systems including ETL. * Understanding of architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop and Spark; * Advanced knowledge of a programming language such as Java/Python/Scala * 4+ years of experience in Front End development using Python, Flask, Django or AngularJs. * Experience in SQL Server BI stack (SSIS, SSAS, SSRS) is a plus * Demonstrate broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in production on Hadoop & Spark clusters. * Experience in performance troubleshooting, SQL optimization, and benchmarking. * Strong architectural experience in context of deploying cloud-based data solutions. * Thorough understanding of service-oriented architectures and data processing in high-volume applications. Full SDLC experience (requirements gathering through production deployment). * Knowledge of working in UNIX environment creating of shell scripts * Experience in building docker containers in Kubernetes or other Container Services is a plus Experience writing cloud formation scripts or terraform scripts are a plus Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. Getty Images Seattle WA

Senior Data Engineer

Build Asset Management