The Role: Data Engineer
Location: Team is in Boston, but is available for remote or on-site throughout CST and EST Time zones
GL (for internal use only): 11
Panjiva is a data-driven technology company that uses machine learning to provide powerful search, analysis, and visualization of billions of shipping records from nearly every country in the world. More than 3,000 customers in over 100 countries, ranging from Fortune 500 companies and startups to government agencies and hedge funds, rely on our platform for supply chain intelligence. In global trade, better insight means better decision making and stronger connections between companies and governments across the globe.
Recognizing Panjiva’s cutting-edge technology, S&P Global acquired Panjiva in 2018. This acquisition has grown our resources, dramatically expanded our access to data, and accelerated our growth plans.People are Panjiva’s greatest strength – join our engineering team as we map out a key part of the world economy!Job Description
As a data engineer on our team, you will play a key role in developing our next-generation data science infrastructure and underlying core technologies. You will work with Panjiva’s world-class data scientists, analysts, and engineers to create products that solve important real-world business problems in a collaborative, fast-paced, and fun environment.
You’ll work closely with our data science team to develop new platforms, infrastructure, and tools that will allow for machine learning applications at production scale over ever-growing datasets.
You’ll design and leverage distributed computing technologies, data schemas, and APIs to construct data science pipelines. In addition, you’ll be expected to participate in augmenting our infrastructure to seamlessly integrate new data sets through constant R&D of the technologies and systems we use.
Join us in building the next generation of products as we continue to deliver valuable and actionable insights to decision-makers in the $15 trillion global trade industry.
- Architect and implement distributed systems that perform complex transformations, processing, and analysis over very large scale datasets
- Develop processes to monitor and automate detection of quality regressions in raw data or in the output of Panjiva’s machine learning models
- Working with our data scientists to turn large-scale messy, diverse, and often unstructured data into a source of meaningful insights for our customers
- Optimizing slow-running database queries and data pipelines
- Helping enhance our search engine, capable of running sophisticated user queries quickly and efficiently
- Building internal tools and backend services to enable our data scientists and product engineers to improve efficiency
- B.S., M.S., or Ph.D. in Computer Science (or a related field) or equivalent work experience
- 7+ years of experience working with data-at-scale in a production environment
- Experience designing and implementing large-scale, distributed systems
- Experience in multi-threaded software development (or some form of parallelism)
- Significant performance engineering experience (e.g., profiling slow code, understanding complicated query plans, etc.)
- Solid understanding of core algorithms and data structures, including the ability to select (and apply) the optimal ones to computationally expensive operations over data-at-scale
- Strong understanding of relational databases and proficiency with SQL
- Deep knowledge of at least one compiled language (e.g., Scala, C++, Java, Go)
- Experience developing software on Linux-based operating systems
- Experience with distributed version control systems
- Familiarity with relational database internals (especially PostgreSQL)
- Proficiency with cloud computing platforms, specifically AWS
- Working knowledge of probability & statistics
- Contributions to open-source software
- Experience building customer-centric products
Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $85,300 - $170,000. Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive bonus plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires.
About S&P Global
S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.
S&P Global Market Intelligence partners with customers to broaden their perspective and operate with confidence by bringing them leading data sources and technologies that embed insight in their daily work.
We pride ourselves on our agility and diversity, and we welcome requests to work flexibly. For most roles, flexible hours and/or an element of remote working are usually possible. Please talk to us at interview about the type of arrangement that is best for you. We will always try to be adaptable wherever we can.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.
Job ID: 277527
Posted On: 2023-09-21
Location: Cambridge, Massachusetts, United States