Position
Title: Senior Data Engineer

Base Salary:
$114,668
to $154,216 annually DOE

Benefits:
Medical,
dental, vision, 401k, flexible spending account, paid sick leave and paid time
off, parental leave, quarterly performance bonus, training, career growth and
education reimbursement programs.

Ziply
Fiber is a local internet service provider dedicated to elevating the
connected lives of the communities we serve. We offer the fastest home
internet in the nation, a refreshingly great customer experience, and affordable plans
that put customers in charge.

As
our state-of-the-art fiber network expands, so does our need for team
members who can help us grow and realize our goals.

Our Company
Values:

• 
  Genuinely Caring:
  We treat customers
  and colleagues like neighbors, with empathy and full attention.

• 
  Empowering You:
  We help customers
  choose what is best for them, and we support
  employees in implementing new ideas and solutions.

• 
  Innovation and Improvement:
  We
  constantly seek ways to improve how we serve customers and each
  other. 

• 
  Earning Your Trust:
  We build trust
  through clear, honest, human communication.

Job Summary

The Senior Data Engineer will
be responsible for designing, building, and maintaining scalable data
pipelines, data models, and infrastructure that support business intelligence,
analytics, and operational data needs. This role involves working with various
structured and unstructured data sources, optimizing data workflows, and
ensuring high data reliability and quality. The ideal candidate will be
proficient in modern data engineering tools and cloud platforms bringing
innovative solutions to a fast-paced and diverse data infrastructure.

Essential Duties and Responsibilities:

The Essential Duties and Responsibilities listed below are a range of
duties performed by the employee and not intended to reflect all duties
performed.

Data Pipeline Engineering & Automation

·
Design, develop, and maintain scalable data
pipelines for ingestion, transformation, and storage of large datasets.

·
Troubleshoot and resolve data pipeline and ETL
failures, implementing robust monitoring and alerting systems.

·
Automate data workflows increase efficiency and
reduce manual intervention.

Data Infrastructure, Modeling & Governance

·
Optimize data models for analytics and business
intelligence reporting.

·
Build and maintain data infrastructure, ensuring
performance, reliability, and scalability.

·
Implement best practices for data governance,
security, and compliance.

·
Work with structured and unstructured data,
integrating data from various sources including databases, APIs, and streaming
platforms.

Cross‑Functional Collaboration, Leadership & Documentation

·
Collaborate with data analysts, data scientists,
and business stakeholders to understand data needs and design appropriate
solutions.

·
Mentor and train junior engineers, fostering a
culture of learning and innovation.

·
Develop and maintain documentation for data
engineering processes and workflows.

Other Duties

·
Performs
other duties as required to support the business and evolving organization
.

Required Qualifications:

• 
  Bachelor’s degree in Computer Science,
  Engineering, or a related field.
• 
  Minimum of eight (8) years of experience in
  data engineering, ETL development, or related fields.
• 
  Strong proficiency in SQL and database
  technologies (PostgreSQL, MySQL, Oracle, SQL Server, etc.).
• 
  Familiarity with Linux/Unix and scripting
  technologies utilized on them.
• 
  Proficiency in programming languages such as
  Python for data engineering tasks.
• 
  Hands-on experience with cloud platforms such
  as Microsoft Azure and its data services such as Azure Data Factory and
  Azure Synapse Analytics,
• 
  Experience working with data warehouses such
  as Snowflake or Azure SQL Data Warehouse.
• 
  Familiarity with workflow automation tools
  such as Autosys.
• 
  Knowledge of data modeling, schema design, and
  data architecture best practices.
• 
  Strong understanding of data governance,
  security, and compliance standards.
• 
  Ability to work independently in a remote
  environment across different time zones and collaborate effectively across
  teams.
• 
  Exposure to GraphQL and RESTful APIs for data
  retrieval and integration.
• 
  Familiarity with NoSQL databases such as
  MongoDB.
• 
  Experience with version control software such
  as GitLab.

Preferred
Qualifications:

·
Proven aptitude for independently managing complex procedures, even when
encountered infrequently.

• 
  Proactive approach to learning and
  optimizing operational workflows.
• 
  Familiarity with DevOps practices and
  CI/CD pipelines for data engineering, including Azure DevOps.
• 
  Proficient in designing, writing, and
  maintaining complex stored procedures and stored procedure–based ETL
  workflows for robust data processing.

·
Comfortable working in complex ecosystems with heterogeneous data
sources and diverse end-user requirements, adapting solutions to fit unique
contexts.

·
Working knowledge of data wrangling and ETL tools, including Alteryx or
similar technologies.

• 
  Understanding of data privacy
  regulations such as GDPR and CCPA.

Knowledge, Skills, and Abilities:

• 
  Strong problem-solving and analytical
  skills.
• 
  Ability to manage multiple priorities
  and work in a fast-paced environment.
• 
  Excellent verbal and written
  communication skills.
• 
  Ability to translate business
  requirements into scalable technical solutions.
• 
  Strong attention to detail and a
  commitment to data quality.
• 
  Ability to work with Agile methodologies
  and tools such as Jira, Confluence, and Azure DevOps.
• 
  Strong collaboration skills with
  cross-functional teams including product managers, software engineers, and
  business analysts.

Work Authorization

Applicants must be currently authorized to
work in the US for any employer. Sponsorship is not available for this
position.

Physical Requirements

The physical demands described
here are representative of those that must be met by an employee to
successfully perform the essential functions of this job. Reasonable
accommodations may be made to enable individuals with disabilities to perform
the essential functions.

Essential and marginal functions may require
maintaining physical condition necessary for bending, stooping, sitting, walking,
or standing for prolonged periods of time; most of time is spent sitting in a
comfortable position with frequent opportunity to move about. The employee must
occasionally lift and/or move up to 25 pounds. Specific vision abilities
required by the job include close vision, distance vision, color vision,
peripheral vision, depth perception, and the ability to adjust focus.

Work Environment

Work is performed in an office setting with
exposure to computer screens and requires extensive use of a computer,
keyboard, mouse, and multi-line telephone system. The work is primarily a
modern office setting.

At all times, Ziply Fiber must be your
primary employer. Unless otherwise prohibited by law, employees may not hold
outside employment nor be self-employed without obtaining approval in writing
from Ziply Fiber. In holding outside employment or self-employment, employees
should ensure that participation does not conflict with responsibilities to
Ziply Fiber or its business interests.

Diverse Workforce / EEO:

Ziply Fiber is
an equal opportunity employer. Ziply Fiber will consider all qualified
candidates regardless of race, color, religion, national origin, gender, age,
marital status, sexual orientation, veteran status, and the presence of a
non-job-related handicap or disability or any other legally protected status.

Ziply Fiber requires a pre-employment background
check as conditions of employment. Ziply Fiber may require a pre-employment
drug screening.

Ziply Fiber is a drug free workplace.