Data Engineer - SQL

R+L Carriers; Ocala (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401(k) with company matching

Paid vacation & holidays

Resort lodging for employees

Job summary

R+L Carriers, Inc. in Ocala, FL is seeking an experienced Data Engineer to design, build, and maintain data pipelines that move information from operational systems into the enterprise data platform and data lake. The role is onsite in Ocala, Florida.

You will work with Azure Data Factory, Azure Data Lake, Databricks, SQL, and Power BI to deliver reliable data for reporting and analytics. Strong Python, SQL, and data modeling skills are essential, along with collaboration with analytics teams

Qualifications

• 3+ years in data engineering or related role.
• Strong experience with Microsoft Azure data technologies (Azure Data Factory, Data Lake Storage, Databricks).
• Strong SQL skills with complex queries, views, and reporting datasets.
• Experience designing, developing, and maintaining ETL/ELT pipelines.
• Experience integrating data via REST APIs, databases, JSON, CSV and flat files.
• Knowledge of relational databases, data warehousing concepts, and dimensional modeling.
• Experience preparing data for Power BI and analytics platforms.
• Fluency in English (written and spoken).

Responsibilities

• Develop, maintain, monitor, and optimize data pipelines moving data from operational systems to the data platform and data lake.
• Design and maintain ETL/ELT processes using Azure data technologies.
• Manage and support Azure Data Lake environment, structures, processing workflows, and access.
• Architect data feeds from enterprise applications, APIs, databases, and files.
• Develop processes for ingesting structured and semi-structured data (SQL, APIs, JSON, CSV).
• Troubleshoot pipeline failures, errors, and data quality issues.
• Monitor and improve pipeline and query performance, resource usage, and data reliability.
• Develop SQL queries, views, stored procedures, transformations, and reusable data structures for reporting.

Skills

Data engineering

SQL

Analytical thinking

Communication

Problem-solving

Team collaboration

English fluency

Education

Bachelor’s degree in CS/SE

Tools

Azure Data Factory

Azure Data Lake Storage

Databricks

Power BI

Python

REST APIs

Git

Job description

This role is onsite in Ocala, Florida

Key Responsibilities

• Develop, maintain, monitor, and optimize data pipelines that move information from operational business systems into the company’s enterprise data platform and data lake.
• Design and maintain ETL and ELT processes using Azure Data Factory and related Azure data technologies.
• Manage and support the company’s Azure Data Lake environment, including data organization, storage structures, processing workflows, access, and overall platform reliability.
• Architect new data feeds and integrations from enterprise applications, APIs, databases, files, and other internal and external data sources.
• Develop processes for ingesting structured and semi-structured data including SQL data, APIs, JSON, CSV, flat files, and other common data formats.
• Troubleshoot data feed failures, pipeline errors, processing issues, data discrepancies, and other problems affecting the availability or accuracy of business data.
• Monitor and improve data pipeline performance, processing times, query performance, resource utilization, and overall data platform efficiency.
• Develop and maintain SQL queries, views, stored procedures, transformations, and reusable data structures used by reporting and business applications.
• Develop curated datasets and reporting views that provide Power BI and other analytics tools with consistent, reliable, and understandable business data.
• Work with Power BI developers and data analysts to understand reporting requirements and translate business needs into appropriate data structures and models.
• Design and maintain data models that support enterprise reporting, analytics, operational reporting, historical analysis, and KPI measurement.
• Apply dimensional modeling principles where appropriate, including fact tables, dimension tables, relationships, measures, historical data, and common business entities.
• Improve business visibility into data by identifying opportunities to make information easier to access, understand, analyze, and use for decision-making.
• Establish and maintain appropriate data quality controls, validation processes, reconciliation procedures, and monitoring to identify missing, inaccurate, duplicated, or inconsistent data.
• Develop processes for incremental data loading, change detection, historical data retention, and efficient processing of large data sets.
• Establish standards for data naming, definitions, structure, documentation, ownership, lineage, and appropriate use across enterprise reporting.
• Support data governance initiatives that create consistent definitions and trusted sources for customers, employees, shipments, financial information, operational metrics, and other key business entities.
• Help establish consistent enterprise KPIs and reporting definitions to reduce conflicting calculations and different versions of the same business metric.
• Document data sources, pipelines, transformations, dependencies, business rules, data models, and reporting structures.
• Maintain visibility into dependencies between source systems, data pipelines, transformations, reporting datasets, and downstream applications.
• Participate in the evaluation and implementation of new data technologies, tools, integrations, and architectural improvements.
• Work with application developers, infrastructure teams, data analysts, project managers, and business stakeholders to support new projects and data requirements.
• Follow appropriate security, access control, data privacy, change management, testing, and development practices when working with enterprise data.
• Proactively identify opportunities to improve data reliability, processing performance, automation, scalability, maintainability, and overall data architecture.

JOB DESCRIPTION

Must be a U.S. Citizen or Permanent Resident of the United States

Qualifications

• 3+ years of experience in data engineering, data integration, database development, business intelligence engineering, or a related technical role.
• Strong experience with Microsoft Azure data technologies, particularly Azure Data Factory, Azure Data Lake Storage, and DataBricks.
• Strong SQL skills with experience developing complex queries, views, stored procedures, transformations, and reporting datasets.
• Experience designing, developing, and maintaining ETL and ELT pipelines that integrate multiple enterprise data sources.
• Experience integrating data through REST APIs, databases, file transfers, JSON, CSV, flat files, and other common integration methods.
• Strong understanding of relational databases, data structures, database relationships, data types, indexing, and query optimization.
• Understanding of data warehousing concepts, dimensional modeling, fact and dimension tables, star schemas, and data structures designed for analytics.
• Experience preparing and modeling data for Power BI or similar business intelligence and visualization platforms.
• Understanding of Power BI data requirements, semantic models, relationships, refresh processes, and reporting performance considerations.
• Experience troubleshooting and optimizing data pipelines, SQL queries, transformations, and large data processing workloads.
• Knowledge of incremental loading, change data capture concepts, data synchronization, data dependencies, and historical data management.
• Experience implementing data validation, reconciliation, monitoring, logging, error handling, and data quality processes.
• Understanding of data governance concepts including data ownership, business definitions, lineage, documentation, access controls, quality, and trusted data sources.
• Ability to understand business processes and translate business reporting requirements into scalable technical data solutions.
• Ability to analyze data discrepancies and determine whether problems originate within source systems, integrations, transformation logic, data models, or reporting layers.
• Experience with Python for data processing, automation, integration, or data engineering is required.
• Familiarity with Git or other source control and development lifecycle practices.
• Familiarity with Azure security, role-based access control, service accounts, credentials, and secure data integration practices.
• Experience working with data originating from ERP, CRM, transportation, logistics, financial, warehouse, customer service, or other enterprise business systems is preferred.
• Strong analytical, troubleshooting, communication, organization, documentation, and problem-solving skills.
• Ability to explain technical data concepts, issues, dependencies, and recommendations clearly to both technical and non-technical stakeholders.
• Ability to work independently while collaborating cross-functionally with application development, infrastructure analytics, project management, and business teams.
• Ability to take ownership of critical data processes and proactively identify potential failures, performance issues, data quality concerns, and architectural improvements.
• Ability to manage multiple priorities in a fast-paced environment with changing business and reporting needs.
• Ability to read, write, and speak English fluently.

Education

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience

Benefits

• R+L Carriers offers an excellent compensation and comprehensive benefits package that includes Medical/Dental/Vision Insurance, 401(k) Retirement Plan with company matching contributions, Paid Vacation & Holidays, and vacation lodging at our exclusive employee resorts in Daytona Beach, FL, Big Bear Lake, CA, Pigeon Forge, TN, and Ocean Isle Beach, NC.

About Us

R+L Carriers is a family owned, privately held transportation company founded in 1965. Our business caters to the transportation and distribution industry and is designed to provide customers with superior service through efficient administration and innovative thinking. The Company prides itself in treating our employees and customers with respect and honesty. We believe each employee contributes directly to the Company’s growth and success. There are many other transportation companies capable of picking up and delivering freight. However, we believed our customers select us because of the efforts of our employees.

R+L Carriers Shared Services, LLC (“R+L Carriers”) and its subsidiary companies will provide equal employment opportunities to all applicants without regard to an applicant’s race, color, religion, sex, sexual orientation, gender, gender identity or expression, genetic information, national origin, age, veteran status, disability, or any other status protected by federal or state law. R+L Carriers will provide reasonable accommodations to allow an applicant to participate in the hiring process (e.g., accommodations for a test or job interview) if so requested. When completing this application, you may exclude information that would disclose or otherwise reference your race, religion, age, sex, genetic, veteran status, disability or any other status protected by federal or state law. This application is considered current for ninety (90) days only. At the end of this period, if you are still interested in employment, it will be necessary for you to reapply by completing a new application.