Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and develop scalable data warehouse architectures for reporting and analytics
Integrate Business Central, Salesforce and ADP data using ETL/ELT practices
Develop ETL pipelines with Azure Data Factory, SSIS or similar tools
Administer and tune database systems for availability, performance and security
From the employer’s posting
Design and develop robust and scalable data warehouse architectures to support business goals, reporting, and analytics needs.
Integrate disparate data sources (Business Central, Salesforce, ADP, etc.) into a centralized warehouse using ETL/ELT best practices.
Develop ETL pipelines using tools such as Azure Data Factory, SSIS, or similar platforms.
Administer and tune database systems (SQL Server, Azure SQL, or other platforms) to ensure high availability, performance, and security.
What you’ll bring
All qualificationsCore experience
- 7+ years of experience in database administration and data warehouse development.Proven track record of delivering performance-optimized data warehouses at scale.
- Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication.
- Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent.
- Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
- Understanding of data modeling principles (star/snowflake schema).
- Bachelor’s degree in computer science, Information Systems, or a related field.
Qualification wording
7+ years of experience in database administration and data warehouse development.Proven track record of delivering performance-optimized data warehouses at scale.
Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication.
Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent.
Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
Understanding of data modeling principles (star/snowflake schema).
Bachelor’s degree in computer science, Information Systems, or a related field.
Education & alternatives
Excellent problem-solving skills, attention to detail, and communication abilities. Bachelor’s degree in computer science, Information Systems, or a related field. Disclaimer
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 6 and day 56.
From 13,745 similar postings that came down. Coming down is not always a hire.
EVI Industries is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- Azure
- Redshift
- Snowflake
- SQL Server
- SSIS
Where the posting names them
- Design and develop robust and scalable data warehouse architectures to support business goals, reporting, and analytics needs. - Administer and tune database systems (SQL Server, Azure SQL, or other platforms) to ensure high availability, performance, and security. - Integrate disparate data sources (Business Central, Salesforce, ADP, etc.) into a centralized warehouse using ETL/ELT best practices.
7+ years of experience in database administration and data warehouse development.Proven track record of delivering performance-optimized data warehouses at scale. Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication. Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent.
Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent. Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake). Understanding of data modeling principles (star/snowflake schema).
- Integrate disparate data sources (Business Central, Salesforce, ADP, etc.) into a centralized warehouse using ETL/ELT best practices. - Develop ETL pipelines using tools such as Azure Data Factory, SSIS, or similar platforms. - Establish and enforce data governance, quality, and security protocols across all systems.
Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication. Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent. Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
Your next step
Complete your application on www.evi-ind.com. The employer’s form will show what is required.
Already applied? Track this application
About EVI Industries
- People
- About 122 in 2025.Benefit plan filings (Form 5500)
- Company
- Listed as EVI.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Data Engineer
Miami, FL
Duties & Responsibilities
The Data Engineer is responsible for and has deep expertise in designing, building, and maintaining scalable, high-performance data warehouses. The ideal candidate will have a proven track record of successful data warehouse implementations and have hands-on experience integrating data across Microsoft Dynamics 365 Business Central, Salesforce CRM, and ADP Payroll. The position will play a critical role in our organization's journey toward a data-driven future.
- Design and develop robust and scalable data warehouse architectures to support business goals, reporting, and analytics needs.
- Administer and tune database systems (SQL Server, Azure SQL, or other platforms) to ensure high availability, performance, and security.
- Integrate disparate data sources (Business Central, Salesforce, ADP, etc.) into a centralized warehouse using ETL/ELT best practices.
- Develop ETL pipelines using tools such as Azure Data Factory, SSIS, or similar platforms.
- Establish and enforce data governance, quality, and security protocols across all systems.
- Support business users and data analysts with optimized queries, views, and datasets for reporting.
- Monitor and troubleshoot database performance issues and implement proactive optimizations.
Requirements
7+ years of experience in database administration and data warehouse development.Proven track record of delivering performance-optimized data warehouses at scale.
Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication.
Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent.
Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
Understanding of data modeling principles (star/snowflake schema).
Excellent problem-solving skills, attention to detail, and communication abilities.
Bachelor’s degree in computer science, Information Systems, or a related field.
Disclaimer
EVI Industries, Inc. is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.
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- Location & working pattern
Miami, FL
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