Senior Software Data Engineer

Ginkgo Bioworks Boston , MA 02298

Posted 2 months ago

Our mission is to make biology easier to engineer and make to help data to driving the research in partnership of Ginkgo Bioworks and Joyn Bio. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. Today, our foundry is developing over 40 different organisms to make products across multiple industries. Joyn Bio is designing microbes for sustainable agriculture - Probiotics for Plants We're making the codebase, compiler, debugger, and data analysis for life. We're looking for an experienced Senior Software Data Engineer who is interested in architecting the software platform to support analytics and machine learning that will ultimately help to define how our bioengineering is performed at scale.

Ginkgo's programming languages of choice are Python and SQL, and DNA, but you must be someone who loves writing elegant code in any language. Most importantly, you should be passionate about making biology the next engineering discipline. The 20th century was all about bits and the awesome technology of computers. The 21st century is all about atoms and the awesome technology of biology, and Ginkgo is at the forefront of this revolution. As an experienced data pipeline builder and data wrangler who enjoys building data systems from the ground up, you're excited by the prospect of optimizing (or even redesigning) Ginkgo's data architecture to support our next generation of products and data initiatives. You'll be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You'll also support our software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.

You will work in close collaboration with a data science team at Joyn Bio to address data needs of the shared projects

Responsibilites

  • Create and maintain optimal data pipeline architecture

  • Identify, design, and implement internal process improvements, including: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and more

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies

  • Use appropriate tools to analyze the data pipeline and provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

  • Work with stakeholders including the Executive, Product, Data Science, Design, Computational Biology teams to assist with data-related technical issues and support their data infrastructure needs

  • Keep our data secure

Desired Experience and Capabilities

  • Master's degree in Computer Science, Statistics, Informatics, Information Systems or related quantitative field

  • At least five years of data engineering experience

  • Advanced knowledge of database design best practices, as well as experience working with relational databases, data warehouses, and big data platforms

  • Proven capability of building and optimizing 'big data' data pipelines, architectures, and data sets

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

  • Strong analytical skills in relation to working with unstructured datasets

  • Experience building processes that support data transformation, data structures, metadata, dependency, and workload management

  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores

  • Strong project management and organizational skills

  • High level of comfort with supporting the data needs of multiple teams, systems, and products

  • Strong level of motivation and self-direction

Desired Software Tools/Expertise

  • Big data tools: Hadoop, Hive, Spark, Kafka, etc.

  • Relational SQL databases, including Redshift

  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

  • AWS cloud services: EC2, EMR, RDS, Redshift

  • Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

  • Linux (working knowledge)

To learn more about Ginkgo, check out some recent press:

Ginkgo Bioworks Is Turning Human Cells into On-Demand Factories (WIRED)

Can This Company Convince You to Love GMOs? (The Atlantic)

Hundreds Of Millions Of Dollars Pour Into Hacking Microbes (Forbes)

This food tech startup just raised $90 million to make it easier to invent new plant-based meats (Fast Company)

We also feel it's important to point out the obvious here there's a serious lack of diversity in our industry and it needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equality, and inclusion in all of its practices, especially when it comes to growing our team. We hope to continue to build a company whose culture promotes inclusion and embraces how rewarding it is to work with engineers from all walks of life. Making biology easier to engineer is a tough nut to crack we can't afford to leave any talent untapped.


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 Software Data Engineer

Medidata Solutions

Posted 6 months ago

VIEW JOBS 3/26/2019 12:00:00 AM 2019-06-24T00:00 SHYFT was founded on a simple yet powerful idea through powerful analytics find meaningful patterns in complex data that impacts and shapes the future of healthcare. Over the last decade our technology has played a critical part in changing how companies connect and visualize healthcare information. As a leader in this quickly evolving industry, a career at SHYFT offers countless ways to make an impact in a fast-growing company. As a pivotal member of the Product Engineering team, you will design and build the next generation of our data platform that delivers integrated data and guided analytics using commercial and clinical data to help improve the efficiency of the healthcare ecosystem. While working in a collaborative, cross-functional team environment, including dedicated UI/UX experts, you will have the autonomy to build solutions that resolve complex data problems and bring to market enterprise grade products offering consumer class experience and design. Key Responsibilities * Design and build the next generation of our data pipeline in a microservices architecture * Enhance and modify data processing applications to ensure best practices, performance, scalability, security, and optimal user experience * Research, design, and develop proof-of-concept projects using the latest and most advanced technologies * Efficiently communicate project status, issues, and resolutions in a timely manner * Ensure services are built for performance, scalability, fault tolerance, and security with reusable patterns * Develop technical design, architect to process, extract, cleanse, integrate, organize, and present data from a variety of sources and formats for analysis and use across use cases Position Requirements * Mastery of object-oriented techniques, design patterns, and software integrations * Eager to build great applications and attack difficult problems in creative ways * Enthusiastic to learn new skills, technologies, and techniques * Proven ability to design, develop, implement, and deliver high-quality code in a timely manner * Ability to work well as part of a small, highly focused development team * Excellent interpersonal and communication skills, both written and oral Required Skills * Experience architecting and building with Data Warehousing, Data Management, and Master Data Management related technologies * Experience with No SQL database technologies * Strong understanding of master data and metadata management and demonstrated experience and knowledge of multi-tier architectures. * Interest and understanding of CI/CD process and tools, testing frameworks, and practices * Writing tests for code quality, reliability, and coverage Preferred Skills * Experience with C# * Experience with AWS * Experience working with Agile methodologies * Strong experience delivering analytic and reporting solutions to meet business needs * Strong knowledge and understanding of SQL and NoSQL development techniques and complementary business layer and front-end technologies * Excellent communication, presentation, influencing, and reasoning skills to earn support of business leaders, technology leaders, and colleagues Education / Experience Requirement * Bachelor™s of Science in Computer Science, Computer Engineering, Information Technology, Information Systems or any other related academic discipline. * 10+ years proven experience working as a software engineer in diverse environments. Benefits Included * Competitive compensation * Generous rewards program * Medical/Dental/Vision * Unlimited PTO * Holiday pay * 401K * AD&D and Life Insurance * Company Outings/Social Events Medidata Solutions Boston MA

Senior Software Data Engineer

Ginkgo Bioworks