HYBRID 2-Days REMOTE

Must Have:
3-5 years CI/CD tools
3 -5 years Git/Github
ADO
API
A Python Developer
Experience with Docker, Kubernetes

Nice to Have:
Apache Kafka
Automated Testing
BDD Behavior Driven Development
JSON

JOB DESCRIPTION
#####’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. We operate in a fast-paced, information-driven environment, which means we need people who bring diverse experiences, perspectives, and expertise to meet the ever-changing demands of a technology-driven world. We are grounded in the belief that “improving the work is the work” as we drive to create simple, easy, and fast solutions for our customers. Your ability to adapt, learn, and innovate helps increase revenue, reduce operational costs, and mitigates risk. ETO provides opportunities for you to own your career growth through Diversity, Equity, and Inclusion, Women in Technology, and Workforce of the Future initiatives that allow you to network across the organization, volunteer in our community, and build your technical and soft skills. Together we are building a culture that values diversity and creates a space of belonging for all our team members. We believe that investing in your success is an investment in our customers and our business. Our people are what sets us apart and make us great. As a Data Engineer, you’ll provide your talents in contributing to the success of the #### team by delivering the following:

Responsible for developing and deploying enterprise grade platforms that enable data-driven solutions. Automate and maintain scalable infrastructure. Ensures delivery of a highly available and scalable systems. Monitor all systems and applications and ensure optimal performance. Research and test new tools and applications. Analyzes and designs technical solutions to address business needs. Participate in troubleshooting applications and systems issues. Identifies, investigates and proposes solutions to technical problems. Develops, tests, and modifies software to improve efficiency of data platforms and applications. Provides technical support for issues. Monitors system performance to maintain consistent up time. Provides technical expertise where required within Information Technology Projects. Prepares and maintains necessary documentation. Participate in regular agile ceremonies, such as program increment planning, daily standups, team backlog grooming, iteration retrospectives, team demos and inspect & adapt, etc. Keep up with the committed features and stories in the team backlog. Work with the project manager/scrum master to remove impediments. Serve in the goalie rotation to support Production. Support test and QA efforts on the various data projects. Coordinate with data operations teams to deploy changes into production. Highest level may function as a lead. Other duties as assigned. Qualifications Requires a Bachelor's in Computer Science, Computer Engineering or related field and some experience ADO/GIT, ETL, SQL, UNIX/Linux, Docker/Kubernetes, API Development, JSON, Kafka, Automated Testing, BDD, Big Data distributed systems, various programming languages like Java and Python, orchestration tools and processes or other directly related experience. A combination of education and experience may meet qualifications. Basic knowledge of search technology, building real-time data pipelines and various programming languages like Java and Python. Knowledge of ETL, UNIX/Linux, scheduling and orchestration tools and processes. 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 work independently, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively. Must be able to interpret, validate and map business requirements to an appropriate solution.

Job Type: Contract

Pay: $65.00 - $72.00 per hour

Experience:

SQL: 1 year (Preferred)
Data warehouse: 1 year (Preferred)

Ability to Commute:

Midvale, UT (Required)

Ability to Relocate:

Midvale, UT: Relocate before starting work (Required)

Work Location: In person

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Data Engineer