Jobs in the United States

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Added 5 days ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Augusta, ME
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 5 days ago
Data Engineer III (OIT)
Emory University
Atlanta, GA
Proficiency with and proven ability to drive adoption of Microsoft Fabric, Azure Synapse, Snowflake, or Databricks
Added 5 days ago
GD
Lead Data Warehouse Engineer
Green Dot Corporation
Los Angeles, CA
- $139,900 to $199,300 USD / year
…tools with batch and real-time event data streams (Informatica, Databricks, Apache Kafka, Azure Event Hub, SQL Packages,…
Added 5 days ago
AI Solutions Developer
Stepan Company
Northbrook, IL
…our primary ecosystem is Microsoft (Copilot, Power Platform, Azure), we are looking for a well-rounded AI engineer who can apply the best tools and frameworks for the problem - including…
Added 5 days ago
AVP Data Governance Change Management - NJ
MUFG Bank, Ltd.
Jersey City, NJ
Familiarity with platforms and technologies such as Snowflake, Databricks, Azure, AWS, Informatica, Kafka, or comparable enterprise data technologies.
Added 5 days ago
Technical Product Owner, Analytics
Bridgenext
CA-Irvine
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that…
Added 5 days ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Concord, NH
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 5 days ago
Data Warehouse Architect
Hebrew SeniorLife, Inc.
Roslindale, MA
Databricks certification (Data Engineer Associate/Professional or similar).
Added 5 days ago
AI Architect - Telecom Network Engineer
Capgemini
Seattle, WA, WA
- Data & Cloud Architecture - Strong expertise in Azure, Databricks, Fabric, Snowflake, data engineering, MLOps, LLMOps, APIs, and cloud-native architectures.
Added 5 days ago
Data Engineer
IQ Sig
Alexandria, VA
Cloud & Data Engineering: AWS Certified Data Engineer – Associate / AWS Certified Solutions Architect; Microsoft Certified: Azure Data Engineer Asso
Added 5 days ago
Data Engineer 4 (Manager IC) - Modeling & Architecture
Capital One
Richmond, VA · McLean, VA · Cambridge, MA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 5 days ago
CC
Data Engineer 2
CHN Choice Hotels International Services
United States
- $107,000 to $127,000 USD / year
Choice Hotels, one of the world’s largest lodging franchisors, has an exciting new opportunity as our Data Engineer II in the Data Engineering team within our Advanced Analytics Team. The…
Added 5 days ago
DevOps Engineer - Platform Deployment & Support
Absolute Business Solutions Corp
Herndon, VA
ABSC is seeking a Secret or TS/SCI-cleared DevOps Engineer to support the NGA Data Modernization Services (DMS) program. Working alongside our sister company, Syntasa, and our Intelligence…
Added 5 days ago
Data Engineer
Primoris Services Corporation
Remote, United States
We are seeking a skilled, execution-focused Data Engineer to join our Data & Analytics team. This role is responsible for designing, building, and maintaining scalable, production-grade…
Added 5 days ago
Data Engineer
Southern Company
Birmingham, AL · Atlanta, GA
The data engineer will lead standardization of data curation, data taxonomy and solution delivery across the Electric Operations Technology Solutions Organization for the Databricks and…
Added 5 days ago
BV
Azure Data Engineer
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Azure Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations,…
Added 5 days ago
E
Senior DevOps Engineer
Expression
Remote, United States
- $150,000 to $175,000 USD / year
Expression is seeking an experienced Senior DevOps Engineer to support the National Telecommunications and Information Administration (NTIA) Federal Spectrum Data Systems (FSDS) program…
Added 5 days ago
E
DevOps Engineer
Expression
Remote, United States
- $120,000 to $140,000 USD / year
Expression is seeking a mid-level DevOps Engineer to support the National Telecommunications and Information Administration (NTIA) Federal Spectrum Data Systems (FSDS) program within the…
Added 5 days ago
Azure Databricks Engineer
Infosys
United States
Experience architecting and implementing data solutions using Microsoft Azure, Azure Databricks, and Azure Data Factory (ADF).
Added 5 days ago
Forward Deployed Engineer – Operational Intelligence Practice
INSOURCE SOFTWARE SOLUTIONS INC.
Remote, United States
The Forward Deployed Engineer will build and deploy industrial data and AI solutions for the InSource Solutions Group Operational Intelligence (OI) Practice, a new consulting practice…
Added 5 days ago
Data Engineer - SQL
R+L Carriers
Ocala, FL
Strong experience with Microsoft Azure data technologies, particularly Azure Data Factory, Azure Data Lake Storage, and DataBricks.
Added 5 days ago
REMOTE AI/ML Engineer II
Insight Global
Austin, TX
Insight Global is seeking a Machine Learning Engineer II for a leading healthcare organization building out a greenfield ML environment. This role is heavily focused on production MLOps,…
Added 5 days ago
Data Platform Engineer
JACK Entertainment
Cleveland, OH
Cloud platforms such as Azure, AWS, or Google Cloud.
Added 5 days ago
1000000567.DATA ENGINEER LEAD.INFO TECH SERVICES
Dallas County
Dallas, TX · TX
Added 5 days ago
J
Bilingual Senior Data Engineer
Jobot
Montebello, CA
- $65,000 to $90,000 USD / year
If you are a Bilingual (English/Mandarin) Senior Data Engineer and want to join a growing, tech-savvy E-Commerce company with a dynamic team then apply now!

R+L Carriers

Data Engineer - SQL

Ocala, FL, United States

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Job details

Experience: 3+ years of experience in data engineering, data integration, database development, business intelligence engineering, or a related technical role.
Posting language: English
Posted: Nov 2, 2026

Original job description

Key Responsibilities

This role is onsite in Ocala, Florida Must be a U.S. Citizen or Permanent Resident of the United States

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.

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.

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More about this job

Skills

SQL
Data engineering
Microsoft Azure Data Factory
Microsoft Azure
Troubleshoot
Reporting
Provide power distribution
Microsoft Power BI
Data models
Decision making
Documentation
Business intelligence
Databricks
API development
Data warehousing
Troubleshooting
Process data
Data management
Business processes
Python
Git
ERP
Logistics
Customer service
Communication skills
Problem solving
Work independently
Project management
Interact verbally in English
Computer science

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