"Alerted.org

Employees can work remotely

Employment Type: Full-time

Contract Type: Permanent

Job Family: Digital & IT

Experience Level (for career site): Early Professional

Company Description

Rexel USA is one of the largest distributors of electrical products, data communication, and related supplies in the United States. Rexel USA operates its electrical distribution business in the United States through eight Regions that go to market under various banner and trade names, including Rexel, Rexel Automation, Gexpro, Mayer, and Platt Electric Supply. In addition to an online store, Rexel USA has a distribution network of over 460 warehouse storefront locations throughout the U.S.

Job Description

We are looking for a Senior Data Engineer to join our Rexel team in Oklahoma! Remote

Summary:

The Senior Data Engineer is a hands-on technical expert responsible for building, operating, and scaling the company’s data ingestion, data preparation, and data egress layers. This role focuses on centralizing source data into Snowflake and transmitting transformed data out of Snowflake in a manner that is reliable, fast, accurate, and trusted. The Senior Data Engineer will configure and monitor ingestion pipelines, partner with project teams to onboard new data sources, and prepare data for further transformation by Analytics Engineers. In addition, this role will support analytics and operational use cases by implementing scalable reverse ETL patterns. This role is highly technical, execution-focused, and requires someone deeply motivated to pursue consistent excellence in large scale data movement.

What You'll Do:

+ Source Onboarding & Data Ingestion Operations Configure & Operate Ingestion Pipelines: Set up, operate, and monitor Fivetran connections to ingest data from enterprise systems (SQL Server, Oracle, DB2, etc.) into Snowflake. Ensure correct configuration for hybrid deployment and incremental data loading, soft-deletes, and scheduling/orchestration Source System Coordination: Partner with IT teams, DBAs, and application administrators to ensure continuous source access and prevention of breaking changes. Support onboarding of new data sources through consistent, repeatable processes, and serve as resident expert on Fivetran system behavior

+ Data Preparation & Standardization Historical Tracking & Snapshots: Implement efficient patterns to capture change history, soft deletes, and record versioning in support of SCD and time series use cases Standardization: Develop and maintain dbt models / macros to standardize raw data, including naming conventions, data type enforcement, document hygiene, and source-level testing. Ensure prepared data is consistent and reliable for downstream Analytics Engineering use

+ Operational Reliability Pipeline Monitoring & Incident Response: Leverage tooling to monitor ingestion, preparation, and egress jobs for failures, delays, and data anomalies. Contribute to and follow runbooks for identifying, escalating, and resolving issues appropriately Data Trust & Observability Support: Partner with Platform, Analytics Engineering, Data Governance, and to implement trust and observability infrastructure as they pertain to ingestion, preparation, and egress using tools such as Atlan and Monte Carlo. Diagnose and collaborate to resolving freshness, connectivity, and schema evolution issues

+ Data Egress & Activation Snowflake Data Egress: Support operational and data activation use cases by configuring and maintaining Census syncs from Snowflake to internal and third-party destinations such as APIs, file servers, and cloud storage. Ensure data refresh timing and field mappings meet business requirements Reliability of Reverse ETL Pipelines: Monitor and troubleshoot Census jobs to ensure dependable delivery of data to consuming systems

+ Cross-Team Collaboration: Partner closely with Analytics Engineering, Platform, and Data Governance teams to ensure data is delivered in a form that supports modeling, analytics, and operational needs

+ Other duties as assigned

Job Duties Disclaimer:

The information contained in this job description is intended to describe the essential job functions required of those assigned to this job. It is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, and abilities needed to perform the job. Please note that management retains the right to assign or reassign duties and responsibilities to this job at any time. The ability to competently perform all the essential duties of the position, with or without reasonable accommodation, demonstrate commitment to effective customer service delivery, integrity, and the ability to work productively as a member of a team or work group are basic requirements of all positions at Rexel USA.

Qualifications

What You'll Need

+ 5+ years of experience in data engineering, analytics engineering, or data platform roles, working with cloud-native, code-first tools

+ Data Syncing Tools: Hands-on experience configuring and operating managed ingestion tools such as Fivetran, including connector setup, incremental syncs, and schema drift handling. Strong experience with tools like Census for syncing data from Snowflake to downstream systems

+ dbt & Data Preparation: Experience using dbt Cloud for source configuration, data preparation models, snapshots, and testing. Aptitude working within an established dbt project structure and comfort identifying and recommending improvements for simplicity, consistency, and cost

+ Bachelor's Degree or Equivalent - Required

+ Computer Science, Engineering, Information Systems, or a related technical field

Knowledge, Skills & Abilities

+ Operational Focus: Demonstrated ability to operate and support data pipelines with a high standard of reliability, accuracy, and responsiveness

+ Collaboration & Communication: Ability to work effectively with engineers, analysts, and IT partners, clearly communicating requests, dependencies, active issues, mitigation efforts, and post-incident reviews

+ Snowflake Proficiency: Working knowledge of Snowflake concepts including databases, schemas, warehouses, performance considerations, time travel, data classification (E.G. PII detection and tagging)

+ Fluency working with engineering tools and workflows such as GitHub, code reviews, CI/CD, release management, and deployment pipelines

Additional Information

Physical Demands:

+ Sit: Must be able to remain in a stationary position - Frequently – 21% to 50%

+ Walk: Must be able to move about inside/outside office or work location - Occasionally – up to 20%

+ Use hands to finger, handle, or feel: Operates a computer and other office machinery - Frequently – 21% to 50%

+ Talk, hear, taste, smell: Must be able to use senses to effectively communicate with co-workers and clients and detect hazardous conditions - Frequently – 21% to 50%

Weight and Force Demands:

+ Up to 10 pounds - Occasionally – up to 20%

Rexel USA (A VEVRAA Federal Contractor), and its affiliated companies, is an EEO/Disabled/Veterans employer. All qualified candidates will receive consideration for employment without regard to any characteristics protected by law.

Our Benefits Include:

+ Medical, Dental, and Vision Insurance

+ Life Insurance

+ Short-Term and Long-Term Disability Insurance

+ 401K with Employer Match

+ Paid vacation and sick time

+ Paid company holidays plus flexible personal days per year

+ Tuition Reimbursement

+ Health & Wellness Programs

+ Flexible Spending Accounts

+ HSA Accounts

+ Commuter Transit Benefits

+ Additional Optional Insurance such as Pet Insurance, Legal Assistance, Critical Illness, Home and Auto Insurance to name a few.

+ Employee Discount Programs

+ Professional Training & Development Programs

+ Career Advancement Opportunities – We like to promote from within

Our goal is to create a workplace where everyone feels respected, valued, and empowered to succeed as we understand that our success and innovation is enhanced by an inclusive and diverse workforce.

Rexel USA (A VEVRAA Federal Contractor), and its affiliated companies, is an EEO/Disabled/Veterans employer. All qualified candidates will receive consideration for employment without regard to any characteristics protected by law.