Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Employment type in the employer’s posting: Full TimeFrom the employer’s posting
MCA is seeking a Data & Integrations Engineer to serve as the technical bridge between its Data Warehouse and Business Systems teams, and to lead the organization's adoption of AI-assisted development practices.
The successful candidate should be proficient in using AI tools to deliver results and conduct testing, including validating AI-generated work and continually exploring and sharing effective practices across working teams.
Maintain and enhance ETL pipelines that load data into the Azure data warehouse
Design and implement new schemas, pipelines and semantic models for new data sources
Develop and maintain integrations using Celigo and evaluate alternative platforms
Establish monitoring and alerting for integrations and resolve failed synchronizations
Troubleshoot, debug and optimize queries, stored procedures and pipeline jobs
MCA is seeking a Data & Integrations Engineer to serve as the technical bridge between its Data Warehouse and Business Systems teams, and to lead the organization's adoption of AI-assisted development practices.
The successful candidate should be proficient in using AI tools to deliver results and conduct testing, including validating AI-generated work and continually exploring and sharing effective practices across working teams.
Maintain and enhance ETL processes that ingest data from multiple internal sources into the Azure data warehouse
Design and implement new schemas, pipelines and semantic models to support new data sources and reporting requirements
Develop and maintain integrations using Celigo, the company's primary integration platform, and evaluate alternative platforms where appropriate
Establish monitoring and alerting for integrations, and resolve failed synchronizations and data discrepancies
Troubleshoot, debug and optimize queries, stored procedures and pipeline jobs
The successful candidate should be proficient in using AI tools to deliver results and conduct testing
The Data & Integrations Engineer will own the management and design of MCA's Microsoft Azure data warehouse architecture
Experience with Celigo or a comparable integration platform, such as Boomi, Workato or Azure Logic Apps
Knowledge sharing: Shares lessons learned and helps colleagues on both teams adopt AI tools effectively.
Experience with NetSuite (SuiteQL, saved searches, SuiteScript or SuiteTalk) and HubSpot (APIs, workflows and data model)
Experience developing reports or data sources for Tableau or another business intelligence tool
(MCA) provides wireless communication, data, and security solutions that enhance workplace safety, security, and efficiency nationwide.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 1
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- Experience building AI agents, MCP connectors, Claude skills or shared prompt libraries - Proficiency in C#/.NET (including Razor Pages), JavaScript or Python, and experience with Azure App Services and Visual Studio database projects - Familiarity with Agile methodologies
- Five or more years of experience in data engineering, business intelligence development, systems integration or a related technical role - Strong proficiency in SQL and experience with relational databases, preferably Azure SQL Database or Microsoft SQL Server - Demonstrated experience building and supporting ETL or ELT pipelines for a data warehouse
- Demonstrated experience building and supporting ETL or ELT pipelines for a data warehouse - Working knowledge of Microsoft Azure data services, such as Azure SQL, Azure Data Factory, Azure Functions, Logic Apps and Azure Storage - Experience with REST APIs, webhooks and system-to-system integrations
MCA is seeking a Data & Integrations Engineer to serve as the technical bridge between its Data Warehouse and Business Systems teams, and to lead the organization's adoption of AI-assisted development practices. This is an internal position. The Data & Integrations Engineer will own the management and design of MCA's Microsoft Azure data warehouse architecture, including its ETL processes, semantic layer and reporting infrastructure. The role will also partner closely with the Business Systems team to design, implement, monitor and improve integrations among the company's various operational and backend systems and the data warehouse. The successful candidate should be proficient in using AI tools to deliver results and conduct testing, including validating AI-generated work and continually exploring and sharing effective practices across working teams.
Essential Duties and Responsibilities Azure Data Warehouse - Maintain and enhance ETL processes that ingest data from multiple internal sources into the Azure data warehouse
Azure Data Warehouse - Maintain and enhance ETL processes that ingest data from multiple internal sources into the Azure data warehouse - Own MCA's ETL pipeline, directing and supporting external consulting partners on its updates and ongoing management
- Coordinate between the Data Warehouse and Business Systems teams to ensure that changes in one environment do not adversely affect the other Internal Azure Applications - Own and maintain internally developed Azure-based applications, ensuring their reliability, security and performance
Internal Azure Applications - Own and maintain internally developed Azure-based applications, ensuring their reliability, security and performance - Partner with business stakeholders to design and deliver new features in response to business requests
- Experience writing and maintaining unit tests for application, database and integration code - Experience with Azure DevOps or GitHub for source control, build pipelines and release management - Excellent written and verbal communication skills with both technical and business audiences
Preferred Qualifications - Experience with Celigo or a comparable integration platform, such as Boomi, Workato or Azure Logic Apps - Experience with NetSuite (SuiteQL, saved searches, SuiteScript or SuiteTalk) and HubSpot (APIs, workflows and data model)
- Experience with NetSuite (SuiteQL, saved searches, SuiteScript or SuiteTalk) and HubSpot (APIs, workflows and data model) - Experience developing reports or data sources for Tableau or another business intelligence tool - Experience building AI agents, MCP connectors, Claude skills or shared prompt libraries
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Who We Are
Mobile Communications America, Inc. (MCA) provides wireless communication, data, and security solutions that enhance workplace safety, security, and efficiency nationwide. Customers trust us to provide a portfolio of turn-key systems, products, and services — including two-way radio communications, vehicle uplift, security video and access control systems, BDA/DAS, remote monitoring, GPS tracking, SCADA, dispatch, mass notification, and point-to-point wireless networks. Our more than 60,000 customers span industries such as public safety, commercial, manufacturing, education, healthcare, utilities, and government. In addition to being the largest Motorola partner in the U.S., MCA has strategic partnerships with over 1,000 major manufacturers to offer an extensive portfolio of products and technologies.
Position SummaryMCA is seeking a Data & Integrations Engineer to serve as the technical bridge between its Data Warehouse and Business Systems teams, and to lead the organization's adoption of AI-assisted development practices.
This is an internal position. The Data & Integrations Engineer will own the management and design of MCA's Microsoft Azure data warehouse architecture, including its ETL processes, semantic layer and reporting infrastructure. The role will also partner closely with the Business Systems team to design, implement, monitor and improve integrations among the company's various operational and backend systems and the data warehouse.
The successful candidate should be proficient in using AI tools to deliver results and conduct testing, including validating AI-generated work and continually exploring and sharing effective practices across working teams.
Essential Duties and ResponsibilitiesNo sponsorship is available for this position.
NOTE: The above statements describe the general nature and level of work performed by the person assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, skills, and physical demands required of personnel so classified. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
What We Believe
We are better together through the MCA Way: living our core values of Service First, Growth, Teamwork, and Safety. We take our work and customers seriously and believe our best work can be fun. A component of our business that embodies the MCA advantage is our “Service First DNA” culture. Service isn’t just a motto for MCA, it’s an integral part of who we are and goes beyond our customers to our employees, partners, shareholders, and communities.
Equal Employment Opportunity Employer
Mobile Communications America, Inc. is proud to be an Equal Opportunity workplace and is an Affirmative Action employer. We are committed to creating an inclusive environment that celebrates diversity. At MCA, we are “better together.”
Reasonable Accommodations
If you need assistance or accommodations during the application or interview process, please contact us at talentacquisition@callmc.com with the job title and requisition number of your application.
#LI-AH1 #LI-Remote
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US
Who We Are Mobile Communications America, Inc. (MCA) provides wireless communication, data, and security solutions that enhance workplace safety, security, and efficiency nationwide. Customers trust us to provide a portfolio of turn-key systems, products, and services — including two-way radio communications, vehicle uplift, security video and access control systems, BDA/DAS, remote monitoring, GPS tracking, SCADA, dispatch, mass notification, and point-to-point wireless networks. Our more than 60,000 customers span industries such as public safety, commercial, manufacturing, education, healthcare, utilities, and government. In addition to being the largest Motorola partner in the U.S., MCA has strategic partnerships with over 1,000 major manufacturers to offer an extensive portfolio of products and technologies. Position Summary
If you need assistance or accommodations during the application or interview process, please contact us at talentacquisition@callmc.com with the job title and requisition number of your application. #LI-AH1 #LI-Remote
- Knowledge sharing: Shares lessons learned and helps colleagues on both teams adopt AI tools effectively. No sponsorship is available for this position. NOTE: The above statements describe the general nature and level of work performed by the person assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, skills, and physical demands required of personnel so classified. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.