Data Engineer

Curtin Maritime
Long Beach, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 130K

Job location

Long Beach, United States of America

Tech stack

.NET
API
User Authentication
Business Systems
C Sharp (Programming Language)
Software as a Service
Code Review
Information Systems
Information Engineering
ETL
Data Structures
Relational Databases
Database Development
Database Queries
Document-Oriented Databases
Microsoft Dynamics CRM
Microsoft Data Access Components
Microsoft SQL Server
SQL Azure
OAuth
Open Data Protocol
Online Transaction Processing
Performance Tuning
QuickBooks (Software)
Power BI
Azure
SQL Stored Procedures
SQL Databases
SQL Server Integration Services
Systems Integration
Talend
T-SQL
Azure
Informatica Powercenter
Database Optimization
Data Layers
Ceridian Dayforce
Kubernetes
Information Technology
Data Management
REST
Pagination

Job description

The Data Engineer helps maintain and extend the integration platform that connects our core business systems, including HELM Connect, Dayforce, Procurify, QuickBooks Online, and Dynamics CRM. The platform is built on mainstream Microsoft data technologies and supports operations, payroll, procurement, finance, and reporting across the organization.

This role reports to the Senior Data Engineer on day-to-day development as well as longer-term initiatives - including the continued evolution of the company's unified project data layer and the expansion of Power BI as the primary self-service analytics platform.

This is a hands-on technical position suited to someone who enjoys solving real operational and financial business problems with clean, well-structured data engineering.

Key Responsibilities

  • Develop and maintain integration pipelines in Azure Data Factory that move and transform data between SaaS platforms and the company's data layer.

  • Write, optimize, and maintain T-SQL code - stored procedures, views, functions, and triggers - supporting both integration logic and downstream reporting.

  • Design and maintain normalized relational data models in Azure SQL Database and SQL Server.

  • Build and maintain integrations with vendor REST APIs, including authentication, pagination, retry logic, and structured error handling.

  • Support and extend SQL Server components used for real-time and complex-payload integration scenarios, including C# / CLR stored procedure modules.

  • Partner with business analysts to expose curated data through Power BI, leveraging the existing SQL layer (views, functions, semantic models) in a sustainable client/server model.

  • Monitor pipelines and integrations for reliability, performance, and data quality; investigate and resolve issues as they arise.

  • Document data flows, data models, and integration interfaces.

  • Participate in code reviews, technical discussions, and small-team planning., What You Will Work On

  • Extending the company's project data model so operational, financial, and labor data can be reliably attributed to specific projects, vessels, and phases.

  • Building new integrations as additional vendor systems are introduced.

  • Supporting the company's transition to Power BI as the primary analytics platform.

  • Improving monitoring, alerting, and documentation across the integration layer.

Who You Will Work With

You will work directly with the Senior Data Engineer on technical direction and day-to-day priorities, and partner closely with business analysts and stakeholders in accounting, payroll, operations, and project management. The team is small, the work has direct and visible impact on how the business runs, and there is meaningful room to grow.

Requirements

  • 3+ years of professional experience in a data engineering or database development role.

  • Advanced T-SQL skills: complex queries, stored procedures, performance tuning, indexing strategies.

  • Solid experience with Azure SQL Database and / or Microsoft SQL Server.

  • Hands-on experience with Azure Data Factory, or an equivalent ETL / orchestration platform (SSIS, Informatica, Talend, Fivetran, etc.).

  • Working knowledge of relational data modeling, including normalized OLTP design.

  • Experience integrating with REST APIs and OData services, including OAuth 2.0 / API key authentication, pagination, and error handling.

  • Strong written and verbal communication skills, with the ability to translate business requirements into data structures.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Preferred Qualifications

  • Experience with C# / .NET, particularly in the context of SQL Server CLR assemblies.

  • Experience developing Power BI datasets and reports against SQL Server / Azure SQL sources, including DirectQuery and composite models.

  • Familiarity with Microsoft Entra ID (Azure Active Directory) for authentication and authorization.

  • Exposure to industries with significant operational complexity - maritime, construction, energy, or logistics.

  • Experience integrating with HR / payroll, ERP, or operations platforms such as Dayforce, QuickBooks Online, Procurify, HELM Connect, or Dynamics CRM.

Benefits & conditions

2.92.9 out of 5 stars Long Beach, CA 90802 Hybrid work $130,000 a year - Full-time

About the company

Efficiency. Innovation. Integrity. These are our 3 Pillars. At Curtin Maritime, these core values are the framework for safe performance and operational excellence; proof of these pillars is evident in our people and our fleet. For 25 years, Curtin Maritime has been an industry leader in quality maritime solutions. We are a dynamic Marine Construction and Marine Transportation company experiencing rapid growth. Our team provides customers with a complete suite of maritime solutions, allowing us the incredible opportunity to work on unique projects in some of the most amazing places on earth. The business operates on a portfolio of specialized systems covering operations, payroll, procurement, accounting, and CRM. Integrating these systems into a unified data layer is a strategic, ongoing initiative.

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