Senior Data Engineer - Cheyenne, United States - Remotely

Description

This is a remote position.

Senior Data Engineer (3-5year experience, remote)

Be part of our future This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.


Hiring Type:
Full-Time


Base Salary:
$111K-$121K Per Annum.

Responsibilities

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment.
Build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.

Design robust, reusable and scalable data driven solutions, and data pipeline frameworks to automate the ingestion, processing and delivery of structured and unstructured batch and real-time streaming data.

Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities.

Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.

Qualifications

Bachelor's degree in computer science, math, engineering, or relevant technical field
Two years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
One year of experience developing and supporting modern data architectures
One year of experience developing and supporting large-scale distributed applications
One year of experience with Linux operations and development, including basic commands and shell scripting
One year of experience with execution of DevOps methodologies and continuous integration/continuous delivery

One or more years of experience and proficiency in AWS Cloud Service, Python and Sql for data profiling, analysis and extraction.

Results oriented with a strong customer focus
Ability to work within a team environment
Ability to prioritize and meet tight deadlines
Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables

Preferred Qualifications

Master's degree in a technical field (e.g. computer science, math, engineering)
Understanding of big data and real time streaming analytics processing architecture and ecosystems
Understanding of data warehousing architecture and implementation, including source to target mappings and ETL
Experience with advanced analytics and machine learning concepts and technology implementations
Experience with data analysis and using data visualization tools to describe data
Relevant technology or platform certification (AWS, Microsoft, etc.)
Software development experience in relevant programming languages (i.e. Java, Python, Scala, )

Benefits Package

401k Match
Tuition Reimbursement
Disability Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Parental Leave
PTO for Volunteer Hours
Employee Resource Groups
Inclusion and Diversity Programs
Employee Recognition Program

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