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.
Engineering Tools & Analytics Engineer
Reads like a Data Engineer role: pipelines and data infrastructure.
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Working pattern needs review — work setting source
This position will be onsite at our warehouse in Allen, Texas (Dallas-Fort Worth area). Full-time W-2 ONSITE opportunity (not remote)! Work Eligibility:
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Candidates must be legally authorized to work in the United States without requiring employer-sponsored visa sponsorship now or in the future
What you’ll work on
Full postingDevelop internal engineering applications and automation tools
Build databases and APIs for engineering data
Aggregate manufacturing, test, and field telemetry
Create dashboards and health metrics
Analyze reliability trends and product quality
From the employer’s posting
Develop internal engineering applications and automation tools.
Build databases and APIs for engineering data.
Aggregate manufacturing, test, and field telemetry.
Create dashboards and health metrics.
Analyze reliability trends and product quality.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a closely related field.
- Proficiency with Python and experience building internal tools and automation.
- Experience with databases, APIs, and data aggregation pipelines.
- Familiarity with dashboard and visualization tools.
- Understanding of manufacturing, test, and field data workflows.
- Ability to work independently, prioritize tasks, and meet project deadlines.
Preferred experience
- Experience with SQL, Git, and cloud or on-prem data platforms.
- Knowledge of reliability analysis and product quality metrics.
- Experience supporting engineering teams in a hardware or manufacturing environment.
Qualification wording
Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a closely related field.
Proficiency with Python and experience building internal tools and automation.
Experience with databases, APIs, and data aggregation pipelines.
Familiarity with dashboard and visualization tools.
Understanding of manufacturing, test, and field data workflows.
Ability to work independently, prioritize tasks, and meet project deadlines. Excellent communication skills and ability to collaborate with multidisciplinary teams.
Experience with SQL, Git, and cloud or on-prem data platforms.
Knowledge of reliability analysis and product quality metrics.
Experience supporting engineering teams in a hardware or manufacturing environment.
Education & alternatives
Qualifications: - Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a closely related field. - Proficiency with Python and experience building internal tools and automation.
Benefits in the posting
Full benefits wording- We offer a competitive salary and performance-based bonus program, medical, dental, vision, accidental, FSA, HSA, Paid Time Off (PTO), and 401(k).
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Oct 26, 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 6
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.
Sol-Ark is hiring
1 open job
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.
- Python
- SQL
Where the posting names them
- Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a closely related field. - Proficiency with Python and experience building internal tools and automation. - Experience with databases, APIs, and data aggregation pipelines.
Preferred Experience: - Experience with SQL, Git, and cloud or on-prem data platforms. - Knowledge of reliability analysis and product quality metrics.
Your next step
Complete your application on sol-ark.prismhr-hire.com. The employer’s form will show what is required.
Already applied? Track this application
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
Location:
This position will be onsite at our warehouse in Allen, Texas (Dallas-Fort Worth area).
Full-time W-2 ONSITE opportunity (not remote)!
Work Eligibility:
- Candidates must be legally authorized to work in the United States without requiring employer-sponsored visa sponsorship now or in the future.
- Candidates must have permanent work authorization in the United States. Sol-Ark does not provide visa sponsorship, including but not limited to F-1 CPT, F-1 OPT (including STEM OPT), H-1B, or any other employment-based visa requiring future sponsorship.
About the Position:
We are seeking an Engineering Tools & Analytics Engineer to develop internal engineering applications, data platforms, and analytics capabilities. This is a critical position for the company and the proper candidate will enjoy industry-leading benefits and work environment shared with top notch talent, as well as opportunities for growth and self-development in one of the industry's highest growth companies.
This position will work with engineering, manufacturing, and quality teams to build tools and dashboards that improve data visibility and decision making. The ideal candidate will have strong software development and data engineering skills, with experience aggregating and analyzing engineering and manufacturing data.
Responsibilities:
- Develop internal engineering applications and automation tools.
- Build databases and APIs for engineering data.
- Aggregate manufacturing, test, and field telemetry.
- Create dashboards and health metrics.
- Analyze reliability trends and product quality.
- Develop automated reporting and alerting. Support engineering teams with data-driven decision making.
Qualifications:
- Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a closely related field.
- Proficiency with Python and experience building internal tools and automation.
- Experience with databases, APIs, and data aggregation pipelines.
- Familiarity with dashboard and visualization tools.
- Understanding of manufacturing, test, and field data workflows.
- Strong analytical and problem-solving abilities, with keen attention to detail.
- Ability to work independently, prioritize tasks, and meet project deadlines. Excellent communication skills and ability to collaborate with multidisciplinary teams.
Preferred Experience:
- Experience with SQL, Git, and cloud or on-prem data platforms.
- Knowledge of reliability analysis and product quality metrics.
- Experience supporting engineering teams in a hardware or manufacturing environment.
Benefits:
We offer a competitive salary and performance-based bonus program, medical, dental, vision, accidental, FSA, HSA, Paid Time Off (PTO), and 401(k).
#LI-DNI
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
Allen, TX
This position will be onsite at our warehouse in Allen, Texas (Dallas-Fort Worth area). Full-time W-2 ONSITE opportunity (not remote)! Work Eligibility:
- Work authorization
Work Eligibility: - Candidates must be legally authorized to work in the United States without requiring employer-sponsored visa sponsorship now or in the future. - Candidates must have permanent work authorization in the United States. Sol-Ark does not provide visa sponsorship, including but not limited to F-1 CPT, F-1 OPT (including STEM OPT), H-1B, or any other employment-based visa requiring future sponsorship. About the Position: