Conexus is seeking intermediate level data integration engineers for contract work. Candidates will be supported to follow commonly established best practices as well as utilizing cutting edge techniques developed by Conexus and enabled by Categorical Algebra. This is an excellent opportunity to get direct experience with new and innovative ways to integrate data across a wide variety of data integration scenarios. The ideal candidates will have at least two years of experience integrating data for a variety of projects related to analytics and/or data science. (OLAP / batch data integration).
Experience with the following is essential
Batch data integration
SQL
Preparing data for analysis
Experience with the following is a bonus:
ETL tools such as Informatica, Talend, Domo or equivalent tools
Python or R
Analytical tools such as SAS, Tableau, Microsoft BI, or equivalent tools
RDF
Other data formats and languages (Thrift, Avro, Parquet, XML, etc)
What will you be doing?
The chosen applicants will be tasked with integrating data in a variety of contexts and will use a variety of tools, including software developed uniquely by Conexus that leverages new data integration techniques enabled by Categorical Algebra (Category Theory).
Responsibilities:
Work through data integration problems using methods and techniques you are familiar with
Research and employ other best practices and tools and share them with the team
Learn Categorical Algebra based approaches from the Conexus team and utilize them to solve data integration problems
Research and identify openly accessible public data sources that can be integrated and donated/published for public good
Benefits of working with Conexus
Learn cutting edge data integration techniques from MIT PHDs and world-leading experts in Category Theory
Work remotely on your own terms and schedule
Get exposure to a wide range of data integration scenarios
Compensation: $55-$75/hr
We are looking for applicants that are resourceful, curious and ambitious.