Intermediate Data Integration Engineer Remote

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).

• Batch data integration
• SQL
• Preparing data for analysis

• 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)

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).

• 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

• 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.