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Data Engineer (Python, Spark, & AWS) (Remote)

Job Title
Data Engineer (Python, Spark, & AWS) (Remote)
Job ID
Work From Home
New York,  NY 10017
Other Location
Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.

Conexess Group is aiding a large healthcare client in their search for a Data Engineer in a remote capacity. This is a long-term opportunity with a competitive compensation package.   

******We are unable to work C2C on this role******

  • Drive mentality of building well architected applications for Cloud
  • Drive the mentality of quality being owned by the entire team.
  • Drive automation and integrate with CI/CD tools for continuous validation.
  • Can identify code defects and work with other developers to address quality issues in product code.
  • Passion for finding bottlenecks and thresholds in existing code through the use of automation tools.
  • Passion for continuing education and improving code quality.
  • Able to articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
  • FSEs have an ownership over their work task, and are comfortable interacting with all levels of the team and raise challenges when necessary.
Delivery Responsibilities:
  • Core code production for data integration applications
  • Operational triage of bugs, failed test cases and system failures
  • Creating and optimizing infrastructure performance metrics
  • Mapping user stories to detailed technical specifications
  • Complete detailed peer code reviews
  • Deploying & developing cloud applications end to end
  • Architecting a pilot or PoC effort to bring innovation to delivery
  • Working In stages of the environment lifecycle including Production
  • Ask smart questions, take risks and champion new ideas.
  • 5+ years of software development experience in Python
  • Strong understanding of AWS / cloud computing concepts
  • Experience with Apache Spark
  • Solid understanding in Git based Software version
  • Proficiency with SQL and relational databases
The following skills are beneficial, but not required:
  • Experience with DataBricks
  • Experience with Teradata database
  • Experience with AWS Glue
  • Experience with Terraform
  • Experience with containers such as Open Shift/ Kubernetes, Docker.
  • Experience with Kafka
  • Experience working with huge data sets
  • Experience with NoSQL Databases such as MongoDB, Cassandra
  • Bachelor's degree preferred (not required), please ensure all education is listed accurately on resumes.

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