Data Engineer

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Data Engineer

09/27/2022 ● Salt Lake City, Utah ● Contract To Hire


  • Job Title: Data Engineer
  • Duration: 12 months
  • Location….Salt lake City Utah – onsite


Detailed Job Description

Location: Candidates must be onsite for this position
Interview Process: Teams interview (need to be on video). If they are in SLC, they can do in-person interviews. It will be a single interview for 1 hour with 2-3 individuals. There is also a “take home test” for the candidate to complete and email back to team.

Highlights: Experience with IBM Data Stage, python, and Linux scripting.

  • Responsible for maintaining enterprise-grade platforms that enable data-driven solutions.
  • Search for ways to automate and maintain scalable infrastructure.
  • Ensure delivery of highly available and scalable systems.
  • Monitor all systems and applications and ensure optimal performance.
  • Analyzes and designs technical solutions to address production problems.
  • Participate in troubleshooting applicati ons and systems issues.
  • Identifies, investigates, and proposes solutions to technical problems.
  • While providing technical support for issues, develop, test, and modify software to improve efficiency of data platforms and applications.
  • Monitors system performance to maintain consistent up time.
  • Prepares and maintains necessary documentation.
  • Participate in daily standups, team backlog grooming, and iteration retrospectives.
  • Coordinate with data operations teams to deploy changes into production.
  • Highest level may function as a lead.
  • Other duties as assigned.


  • 5+ years of experience in ETL (prefer experience with IBM DataStage), SQL, UNIX/Linux, Big Data distributed systems, various programming languages like Python, orchestration tools and processes or other directly related experience.
  • Extensive experience in data migration, data analysis, data transformations, conversion, interface, large volume data loading (ETL techniques), database modeling, and performance SQL tuning.?
  • Significant experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects.
  • Have a good understanding of entity-relational database design, including data normalization and ERD modeling.
  • Experience working with Greenplum, Oracle, SQL Server, DB2, Teradata, and delimited text files would be helpful.
  • Basic knowledge of Cloud computing, search technology, building real-time data pipelines, scheduling tools and processes.
  • Hands on experiences with Git version control processes, data streaming technologies such as Kafka, and unstructured data handling preferred.
  • Serve in the goalie (On-Call) rotation to support the Production environment.
  • Responsible for maintaining enterprise-grade platforms that enable data-driven solutions.
  • Good analytical, organizational, and problem-solving skills.
  • Ability and desire to learn new technologies quickly.
  • Ability to elicit, gather and analyze user requirements.
  • Ability to work independently and collaborate with others at all levels of technical understanding.
  • Able to meet deadlines.
  • Good judgment and project management skills.
  • Ability to communicate both verbally and in writing with both technical and non-technical staff.
  • Ability to work in a team environment and have good interpersonal skills.
  • Ability to adapt to changing technology and priorities.
  • Must be able to interpret, validate and map business requirements to an appropriate solution. 

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