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.
Data Engineer
Wisconsin
Live, first seen by us 43 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain batch and streaming ETL/ELT data pipelines
Model and structure data in warehouses and lakehouses for reporting
Integrate data from databases, APIs, third-party platforms and event streams
Ensure data quality through testing, monitoring and alerting
Optimize pipeline and query performance and manage data system cost
From the employer’s posting
Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT).
Model and structure data in warehouses and lakehouses to support reporting and analytics use cases.
Integrate data from a wide range of sources: databases, APIs, third-party platforms, and event streams.
Ensure data quality, reliability, and observability through testing, monitoring, and alerting.
Optimize pipeline and query performance and manage cost and scalability of data systems.
What you’ll bring
All qualificationsCore experience
- Experience / Training: 3+ years of experience in data engineering or a closely related role.
- Experience / Training: Exposure to data governance, lineage, or catalog tools.
- Strong proficiency in SQL and some programming knowledge, preferably .NET and Python.
- Experience supporting machine learning or analytics teams in production.
- Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems.
- Experience with Microsoft Fabric and OneLake.
Qualification wording
Experience / Training: 3+ years of experience in data engineering or a closely related role. Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems. Strong problem-solving skills and attention to data quality and correctness.
Experience / Training: Exposure to data governance, lineage, or catalog tools. Experience supporting machine learning or analytics teams in production.
Technology / Equipment: Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows). Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities. Experience with Microsoft Fabric and OneLake.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 22, 202643 days ago
- Recorded sightings
- 33
- Last seen by us
- Nov 5, 2026
- Reposted
- once since Sep 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 43
Similar jobs usually come down between day 6 and day 54.
From 11,035 similar postings that came down. Coming down is not always a hire.
Evans Transportation Services is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 100% of open jobs were reposted
See 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.
- Python
- SQL
- Azure
- dbt
- Docker
- Terraform
- Airflow
- Dagster
Where the posting names them
MINIMUM QUALIFICATIONS AND REQUIREMENTS Experience / Training: 3+ years of experience in data engineering or a closely related role. Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems. Strong problem-solving skills and attention to data quality and correctness. Licenses / Certifications: None required
Licenses / Certifications: None required Technology / Equipment: Hands-on experience with a cloud data warehouse and/or lakehouse platform. Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for transformations). Familiarity with a major cloud provider, preferably Azure. PREFERRED QUALIFICATIONS AND REQUIREMENTS
Licenses / Certifications: None specified Technology / Equipment: Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows). Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities. Experience with Microsoft Fabric and OneLake. PHYSICAL AND MENTAL DEMANDS
Your next step
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Applying through Paylocity
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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
Description
THE POSITION
Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across Evans Transportation. This position owns the pipelines that move and transform data from source systems into clean, reliable, well-modeled datasets that analysts, data scientists, and business teams depend on.
Requirements
ROLES AND RESPONSIBILITIES
- Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT).
- Model and structure data in warehouses and lakehouses to support reporting and analytics use cases.
- Integrate data from a wide range of sources: databases, APIs, third-party platforms, and event streams.
- Ensure data quality, reliability, and observability through testing, monitoring, and alerting.
- Optimize pipeline and query performance and manage cost and scalability of data systems.
- Implement and enforce data governance, security, and access-control best practices.
- Collaborate with analysts, data scientists, and software engineers to understand requirements and deliver usable data products.
- Document data flows, schemas, and processes to keep the platform maintainable.
- Perform all other duties as assigned.
An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.
The above list reflects the general details necessary to describe the principle and essential functions of the position and shall not be construed as the only duties that may be assigned for the position.
MINIMUM QUALIFICATIONS AND REQUIREMENTS
Experience / Training: 3+ years of experience in data engineering or a closely related role. Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems. Strong problem-solving skills and attention to data quality and correctness.
Licenses / Certifications: None required
Technology / Equipment: Hands-on experience with a cloud data warehouse and/or lakehouse platform. Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for transformations). Familiarity with a major cloud provider, preferably Azure.
PREFERRED QUALIFICATIONS AND REQUIREMENTS
Experience / Training: Exposure to data governance, lineage, or catalog tools. Experience supporting machine learning or analytics teams in production.
Licenses / Certifications: None specified
Technology / Equipment: Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows). Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities. Experience with Microsoft Fabric and OneLake.
PHYSICAL AND MENTAL DEMANDS
While performing the duties of this job, the employee must be able to continuously sit, use a keyboard, calculator, and telephone. The employee is occasionally required to stand, walk, stoop, and/or kneel. The employee must occasionally lift and/or move up to 10 pounds while moving files or small packages. Specific vision abilities required by this job include close vision and the ability to adjust focus. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.
WORK ENVIRONMENT
Work is performed in an office environment, with hybrid/remote flexibility available for the ideal candidate. The noise level in the work environment is usually moderate. The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.
The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wisconsin
WORK ENVIRONMENT Work is performed in an office environment, with hybrid/remote flexibility available for the ideal candidate. The noise level in the work environment is usually moderate. The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position. The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.