Data EngineerSECO Energy (Sumter Electric Cooperative) • Sumterville, Alabama, United States
Data Engineer
SECO Energy (Sumter Electric Cooperative)
- Sumterville, Alabama, United States
- Sumterville, Alabama, United States
Über
Minimum Required Qualifications And Competencies Education
Minimum: Four (4) year bachelor’s degree in computer science, information systems, data engineering, software engineering, mathematics, statistics, engineering, or a related technical field.
Preferred: Certifications or formal training in Microsoft Fabric, Azure Data Engineer, Databricks, Spark, Snowflake, data governance, DevOps, data modeling, or cloud architecture.
Job‑related experience may be substituted for the required education on a year‑for‑year basis.
Experience
Minimum: Four (4) years of progressively responsible experience in data engineering, ETL/ELT development, analytics engineering, database development, BI engineering, software development, cloud data platform engineering, or related technical work.
Preferred: Experience designing and operating lakehouse or warehouse platforms, medallion data flows, Spark/PySpark workloads, Data Factory or pipeline orchestration, metadata‑driven frameworks, dimensional models, master data, and governed semantic‑ready marts.
Preferred: Experience with Microsoft Fabric, Azure Data Lake Storage, OneLake, Delta Lake, Synapse, Databricks, Snowflake, Power BI semantic models, Git‑based DevOps, and enterprise operational data.
Other Requirements
Ability to operate office equipment, including personal computer, printers, copy machines, and telephone.
Ability to work irregular hours in evenings and on weekends and to respond to short‑notice emergencies.
Normal work hours: eight (8) hours between 7:00 am and 5:00 pm, Monday through Friday.
Successful completion of pre‑employment background check, physical and drug screen.
Core Competencies
Safety: Follows safety procedures diligently, identifies hazards, and takes appropriate action.
Member Commitment: Provides exceptional service to members and listens to their needs.
Honesty & Integrity: Acts with honesty and integrity, maintaining transparency and ethical standards.
Work Ethic: Consistently meets deadlines and achieves high performance.
Inclusive Culture: Respects and values diverse perspectives and collaborates effectively.
Accountability: Takes responsibility for actions and decisions, ensuring commitments are met.
Teamwork: Works collaboratively with teammates, sharing information and supporting collective goals.
Job Specific Competencies
Data Engineering Judgment & Solution Design: Designs reliable, scalable, secure, and maintainable data solutions.
Distributed Data Processing, Transformation & Optimization: Builds scalable pipelines using PySpark, Spark SQL, Python, and SQL.
Data Platform & Lakehouse Architecture: Leverages expertise in modern lakehouse and warehouse platforms.
Data Pipeline Engineering & Operational Reliability: Develops and maintains reliable data pipelines with monitoring and production stability.
Dimensional Modeling & Analytical Design: Demonstrates expertise in dimensional modeling for semantic models and BI solutions.
Data Governance, Metadata & Quality Management: Establishes governance frameworks covering metadata, lineage, cataloging, auditability, and data quality.
Master Data, Domain Ownership & Data Products: Applies MDM principles and domain‑driven design with data‑as‑a‑product thinking.
DevOps & DataOps Practices: Applies Git, CI/CD, code reviews, automated deployments, environment management, and versioning.
Business Intelligence & Semantic Modeling: Understands Power BI, Direct Lake, semantic models, gold‑layer design, and performance‑optimized analytics consumption.
AI‑Assisted Engineering Practices: Applies AI tools responsibly, ensuring validation, privacy compliance, and safe production usage.
Essential Duties And Responsibilities Platform and Pipeline Engineering
Design, build, test, deploy, and support modern data platform pipelines and lakehouse or warehouse data products.
Implement ingestion, staging, transformation, conformance, and publishing patterns across raw/bronze, stage, silver, gold, and certified consumption layers.
Build PySpark, Spark SQL, Python, and SQL transformations that are distributed, restartable, idempotent, and operationally supportable.
Implement full‑refresh, incremental, CDC, merge, and partition‑aware load patterns where appropriate.
Design source registration, audit stamping, row hashing, metadata capture, and lineage‑friendly table handling.
Data Modeling, Metadata, and Master Data
Build conformed dimensions, facts, bridge tables, reference tables, and curated marts for analytics and semantic model consumption.
Partner with business SMEs and analysts to define keys, grain, relationships, slowly changing dimension needs, and metric‑ready structures.
Implement metadata‑driven configuration patterns for sources, tables, columns, jobs, schemas, quality rules, and load audits.
Support MDM‑ready outputs, reference‑data management, and stewardship workflows for core entities such as customer, account, product, location, device, meter, vendor, or chart of accounts.
Maintain clear documentation of table contracts, lineage, refresh behavior, data quality rules, and operational dependencies.
Governance, Security, and Data Product Management
Apply governance and security practices across data products, including access control, sensitivity awareness, ownership, cataloging, endorsement, certification, and audit evidence.
Support Microsoft Purview, OneLake catalog, or equivalent governance capabilities for lineage, data cataloging, domains, glossary terms, quality status, and data product discoverability.
Design solutions that support domain‑oriented ownership, data mesh principles, reusable platform patterns, and federated governance.
Ensure production reports and semantic models consume approved data products rather than unfinished engineering layers unless explicitly approved for validation.
Physical Demands and Work Environment The employee is regularly required to sit and talk or hear, occasionally walk, stand, use hands to handle objects, reach with hands and arms, and lift up to 10 pounds. The position is a general sedentary office environment with moderate noise. Reasonable accommodations may be made for individuals with disabilities.
Equal Employment Opportunity Statement Sumter Electric Cooperative is an Equal Employment Opportunity (EEO) Employer. All employment decisions are made without regard to age, race, color, religion, creed, sex, national origin, marital status, veteran status, the presence of any physical or mental disability, genetic information, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our company values and will not be tolerated.
E‑Verify Participation SECO Energy participates in E‑Verify. E‑Verify electronically compares information entered on the Employment Eligibility Verification, Form I‑9, with records contained in Social Security Administration and Department of Homeland Security (DHS) databases to verify identity and employment eligibility of newly hired employees.
Posting Status
This posting will be closed and no longer available to receive applications upon SECO Energy’s discretion.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.