Data Engineer at Horizontal Talent in Minneapolis, Minnesota

Job Description:

Our client is seeking a dedicated Data Engineer to join their dynamic team. This role is ideal for a professional who thrives in a fast-paced, Agile environment and is adept at interpreting and analyzing business requirements, converting them into high and low-level designs.

Key Responsibilities:
- Develop and design ETL using tools such as Informatica or AWS Glue
- Design, develop, configure, test, and deploy cloud automation for the Finance business unit using tools such as Cloud Formation, Terraform, Ansible, etc., adhering to our client's Engineering standards
- Take end-to-end ownership of developing, configuring, unit testing, and deploying developed code with quality and minimal supervision
- Collaborate closely with customers, business analysts, and technology & project teams to understand business requirements and drive the analysis and design of quality technical solutions
- Comply with the organization's architectural standards and follow change management procedures to implement project deliverables
- Coordinate with support groups such as Enterprise Cloud Engineering teams, DevOps, Monitoring to resolve issues swiftly

The ideal candidate will have 4 to 7 years of relevant experience. Upon offer, candidates must complete a background check. This position offers the flexibility of remote or hybrid work arrangements. Join our client's team and contribute to their commitment to excellence and innovation.


Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $56 - $62 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.