Job Application for Senior Data Engineer at Gas South

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The Senior Data Engineer is responsible for designing, building, testing, and supporting data pipelines, curated datasets, and analytical data models that enable enterprise reporting, self-service analytics, and broader data modernization efforts. This role helps ensure the business has reliable, well-structured, and trusted data to support reporting, analysis, and decision-making.

This is a senior individual contributor role focused on hands-on engineering, solution design, and delivery. While this role does not include formal people management responsibilities, it does require strong technical ownership, sound judgment, and the ability to support and mentor less experienced team members.

The Senior Data Engineer works closely with business stakeholders, analysts, and other IT teams to understand data needs and deliver solutions that are secure, scalable, and aligned to business priorities.

Key Responsibilities

Data Engineering & Platform Delivery

Design, build, test, and maintain batch and near-real-time data pipelines that bring together data from a variety of internal and external sources.
Develop and optimize curated datasets, analytical models, and reporting-ready data structures that support enterprise reporting and governed self-service analytics.
Build secure, reliable, and high-performing data solutions using Microsoft Azure and related Microsoft data platform technologies.
Serve as the technical owner for assigned data domains, helping shape design decisions related to ingestion, transformation, modeling, performance, and supportability.
Implement secure and governed data access patterns, including role-based access and other controls that support appropriate self-service use.
Partner with security, compliance, and architecture teams to ensure solutions align with enterprise standards and operational expectations.
Identify opportunities to improve the scalability, resilience, and overall effectiveness of the data platform and supporting processes.

Analytics & Business Intelligence Enablement

Partner with business stakeholders, analysts, and technical teams to understand requirements and translate them into practical data and reporting solutions.
Develop datasets, metrics, and semantic models that support business intelligence and reporting tools such as Power BI.
Help ensure data products are clearly defined, trusted by users, and aligned to business needs.

Data Quality, Reliability & Operations

Implement data profiling, validation, monitoring, and issue resolution practices that improve the accuracy, timeliness, and reliability of enterprise data.
Participate in operational support for critical data pipelines, including incident triage, root cause analysis, issue remediation, and preventive improvement efforts.
Support DataOps practices such as deployment, monitoring, documentation, and release discipline across data solutions.
Identify and address technical debt to improve the reliability, performance, and scalability of data processes and platforms.

Collaboration & Continuous Improvement

Work collaboratively with data engineers, analysts, architects, and business stakeholders to deliver practical, high-quality data solutions.
Participate in design reviews and code reviews to promote consistency, maintainability, and adherence to engineering standards.
Contribute to proof-of-concept efforts, platform improvements, and automation opportunities that reduce manual effort and improve delivery efficiency.
Document solutions, standards, and best practices, and provide guidance to junior engineers through day-to-day collaboration and mentorship.

Required Experience & Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
5+ years of experience in data engineering, analytics engineering, or enterprise data platform development.
Experience designing, building, and supporting scalable data pipelines and analytical data models.
Strong understanding of data modeling approaches, ETL and ELT patterns, and data storage design for analytics use cases.
Experience working with structured and semi-structured data.
Hands-on experience with Microsoft Azure cloud data services and modern data platform concepts.
Strong SQL skills and experience supporting enterprise reporting, analytics, or business intelligence solutions.
Understanding of data security, governance, and controlled access patterns, and the ability to apply those concepts in solution design.

Preferred Experience

Experience with modern Microsoft data platforms, including Microsoft Fabric and related reporting and integration capabilities.
Experience building or supporting semantic models, curated datasets, or reporting layers for tools such as Power BI.
Familiarity with layered or medallion-style data architectures and common analytical modeling patterns.
Experience contributing to data governance practices, including access controls, data product standards, and self-service guardrails.
Exposure to DataOps or DevOps practices for data platforms, including CI/CD, monitoring, and release management.
Experience working in Agile software development environments.
Experience using Python for data engineering, notebook-based development, orchestration, or automation.
Exposure to Kusto Query Language (KQL) for querying telemetry or event-based datasets.
Strong analytical, troubleshooting, and problem-solving skills.

Location Requirements

This role is based in Atlanta, GA or Gainesville, FL.

Physical Requirements

Sitting: Ability to sit for extended periods at a desk or workstation while performing computer-based tasks, conducting meetings, and collaborating with colleagues.
Standing and Walking: Ability to stand and walk within the office environment, such as when attending meetings, interacting with colleagues or external stakeholders, or visiting different departments.
Lifting and Carrying: Ability to lift and carry material, files, or equipment weighing up to 20 pounds, such as when organizing documents or setting up for meetings.

Pay range is commensurate with education, experience, specialized skills or certifications, etc.

Gas South Pay Range

$111,794 - $124,946 USD

Our Purpose and Culture

At Gas South, we approach each day knowing we have an opportunity to make a difference in people’s lives. That means helping our customers save money with everyday low rates and treating them with dignity, honesty and respect. It means supporting our employees in their personal and professional lives, and it means we want to make sure our success directly benefits the communities we serve by giving back 5% of profits to support children in need. Through partnerships with non-profits like United Way, Salvation Army, Junior Achievement, Bert’s Big Adventure and many others, we’re proud to help make a difference. At Gas South our employees bring their boldest ideas and most authentic selves to work, no matter their title, position or background. We understand that our people are our most valuable assets. So, we treat them that way, with competitive benefits, flexible schedule options, and a fun, casual atmosphere.

Gas South affirms that it is an Equal Opportunity Employer whose actions and practices are consistent with fair employment. In this regard, Gas South will not discriminate against any employee or applicant with regard to race, color, religion, sex, age, national origin, disability, pregnancy, childbirth or related medical conditions, genetic information, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment including recruiting, hiring, placement, training, promotion, lay-offs, transfers, leave of absence, compensation and termination.

Benefits for full-time employees include:

Full medical, dental, and vision coverage
Employer-paid life and disability coverage
Annual employer contributions of up to 12.5% to your 401k
Remote work options available based on business needs
Annual performance incentive is a % of annual benchmark based on position level
Paid four-week sabbatical every five years
Opportunities to volunteer in the community
Education assistance up to $5250 per year

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Senior Data Engineer

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