GMO Logo

GMO

Research Data Engineer

Posted 16 Days Ago
Hybrid
Boston, MA
50K-120K
Senior level
Hybrid
Boston, MA
50K-120K
Senior level
Join the Research Data Engineering team to maintain and enhance data platforms, focusing on ETL processes and cloud migration.
The summary above was generated by AI

Company Profile


Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income, and alternative offerings.

 

We manage approximately $65bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.

 

GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results.


Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO.

 


Position Overview 

GMO has undertaken a strategic, firm-wide initiative to build a next generation research and investment platform. Leveraging a blend of traditional RDBMS and Big Data technologies, this initiative will provide a collaboration platform to help our investment teams continue to set the standard for investment performance for our clients. We are seeking an experienced Engineer to join the Research Data Engineering team to maintain the existing on-premises platform and help build out the cloud-based future platform and its leading-edge capabilities.  

Required Skills and Experience:

  • 5+ years of data warehouse engineering experience (SQL Server, T-SQL) 
  • 3 – 5 years working experience with Apache Spark/Databricks 
  • Expertise in data warehousing concepts such as persistent staging, SCD, dimensional modeling and time series analysis 
  • Strong experience with relevant programming languages and tools such as Scala, Python, C#, .NET, unit test frameworks, CI/CD 
  • Production experience implementing efficient ETL and ELT processes for large data sets, preferably with market and trading data related providers 
  • Experience with workflow orchestration tools, particularly Apache Airflow, including designing, implementing, and maintaining DAGs to automate complex data pipelines 
  • Direct experience developing and optimizing containerized applications using Docker, with knowledge in designing and deploying Kubernetes resources (e.g., deployments, services) to support scalable and efficient application workflows 
  • Proven ability to build Big Data solutions using Python and Spark or equivalent scale-out solutions 
  • Production experience with public clouds such as Azure (preferred) or AWS 
  • Familiarity with at least one NoSQL database (e.g., MongoDB, Cassandra, HBase, CouchDB, BigTable, DynamoDB, CosmosDB) 
  • Must be meticulous and able to prioritize work and effectively manage multiple tasks within given deadlines and parameters 

Preferred Experience:

  • Prior employment at an asset management company 
  • Complex time series and multi-dimensional data 
  • On-prem to cloud migration projects 
  • Data Science (machine learning / deep learning / artificial intelligence) 
  • Advanced degree in computer science/engineering, math, science, or related field 

GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

Top Skills

.Net
Apache Airflow
Spark
AWS
Azure
Bigtable
C#
Cassandra
Cosmosdb
Couchdb
Databricks
Docker
DynamoDB
Hbase
Kubernetes
MongoDB
Python
Scala
SQL Server
T-Sql
HQ

GMO Boston, Massachusetts, USA Office

40 Rowes Wharf, Boston, MA, United States, 02110

Similar Jobs

Yesterday
Hybrid
Boston, MA, USA
154K-241K Annually
Senior level
154K-241K Annually
Senior level
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Lead and support product launches focused on data strategy and execution, managing external vendors and driving data initiatives aligned with commercial goals.
Top Skills: AIData WarehousesDatabricksEltETLMl
Yesterday
Hybrid
Boston, MA, USA
256K-402K Annually
Expert/Leader
256K-402K Annually
Expert/Leader
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Lead the Data, AI, and Decision Science team to develop data strategies that support business growth, ensuring data governance and collaboration across functions.
Top Skills: Advanced AnalyticsAICloud-Based Analytics PlatformsData FabricsData GovernanceData MeshMachine Learning
Yesterday
Remote
Hybrid
Waltham, MA, USA
60K-120K
Senior level
60K-120K
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead the design of marketing analytics solutions, integrate marketing data, build measurement models, and manage data governance practices.
Top Skills: 6SenseAlteryxAWSAzureBigQueryDbtGoogle AdsGCPLinkedin AdsLookerMarketoPower BIPythonRRedshiftSalesforceSnowflakeSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account