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Day 73
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Data Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
This is a remote position. About KIS
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild and maintain end-to-end data pipelines, from ingestion through transformation to delivery
Write production-grade SQL for extraction, transformation and analytics
Implement star schema and incremental data models for reporting
Monitor pipelines and troubleshoot failures with root cause analysis
Build automated data quality checks such as schema, freshness and row-level tests
From the employer’s posting
Design, build, and maintain end-to-end data pipelines, including batch and/or streaming workflows, from ingestion through transformation and delivery.
Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases.
Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting.
Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services.
Ensure data quality by implementing automated validation checks, including schema validation, freshness checks, and row-level assertions.
What you’ll bring
All qualificationsCore experience
- Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs.
- Experience designing and implementing data models for analytics and reporting use cases.
- Experience building and operating data pipelines using cloud-based data platforms.
- Experience operating data pipelines, including error handling, monitoring, troubleshooting, and data quality processes.
- Knowledge of fundamental data security and governance practices, including access control, data masking, and PII handling.
- Ability to deliver less complex tasks independently and handle more complex challenges with appropriate guidance.
Preferred experience
- Hands-on experience with GCP and BigQuery (desirable)
Qualification wording
Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs.
Experience designing and implementing data models for analytics and reporting use cases.
Experience building and operating data pipelines using cloud-based data platforms.
Experience operating data pipelines, including error handling, monitoring, troubleshooting, and data quality processes.
Knowledge of fundamental data security and governance practices, including access control, data masking, and PII handling.
Ability to deliver less complex tasks independently and handle more complex challenges with appropriate guidance.
Hands-on experience with GCP and BigQuery (desirable)
About KIS Solutions
KIS is a global technology consultancy, 100% remote and headquartered in the United States.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 22, 202673 days ago
- Recorded sightings
- 45
- Last seen by us
- Nov 4, 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
KIS Solutions is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
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- Python
- SQL
- BigQuery
- GCP
Where the posting names them
- Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting. - Develop reusable, modular, and maintainable Python code for data transformations and pipeline logic. - Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services.
- Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs. - Professional experience writing Python for data transformations, following good software design and modularization practices. - Experience designing and implementing data models for analytics and reporting use cases.
- Develop and operate reliable, scalable, and high-performing ETL/ELT workflows. - Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases. - Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting.
- Professional experience as a Data Engineer working with production-grade data pipelines. - Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs. - Professional experience writing Python for data transformations, following good software design and modularization practices.
- Team-oriented mindset with strong communication, collaboration, and problem-solving skills. - Hands-on experience with GCP and BigQuery (desirable)
Your next step
Complete your application on kissolutions.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Has KIS Solutions posted this job before?
Yes. We’ve followed one other Data Engineer job there since June 2026. It is still up.
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
This is a remote position.
About KIS
KIS is a global technology consultancy, 100% remote and headquartered in the United States. We partner with companies ranging from innovative startups to large multinational organizations, helping them build modern, scalable, and high-impact technology solutions.
Our global team works on challenging projects across different industries, combining technical excellence, innovation, and close collaboration with our clients.
We are currently looking for a Mid-Level Data Engineer to join our team and work on a challenging project for one of KIS's leading international clients.
What You'll Do
As a Mid-Level Data Engineer, you will be responsible for designing, building, and maintaining reliable and scalable data solutions. You will work closely with engineers, analysts, and stakeholders to ensure high-quality, accessible, and well-structured data across the organization.
Your responsibilities will include:
- Design, build, and maintain end-to-end data pipelines, including batch and/or streaming workflows, from ingestion through transformation and delivery.
- Develop and operate reliable, scalable, and high-performing ETL/ELT workflows.
- Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases.
- Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting.
- Develop reusable, modular, and maintainable Python code for data transformations and pipeline logic.
- Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services.
- Ensure data quality by implementing automated validation checks, including schema validation, freshness checks, and row-level assertions.
- Build AI Agents to streamline data platforms, engineering processes and reporting.
- Collaborate with analysts, backend engineers, and other stakeholders to define data contracts and ensure reliable data availability.
- Actively participate in planning, estimation, and prioritization of data engineering tasks.
- Proactively identify risks related to performance, scalability, and data integrity, proposing effective mitigation strategies.
- Contribute to the continuous improvement of data platforms, engineering processes, and team best practices.
- Write and maintain clear technical documentation for data pipelines, schemas, and data lineage.
- Communicate clearly with team members and clients, proactively raising questions and concerns when requirements or priorities are unclear.
Requirements
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
Location not supplied.
This is a remote position. About KIS KIS is a global technology consultancy, 100% remote and headquartered in the United States. We partner with companies ranging from innovative startups to large multinational organizations, helping them build modern, scalable, and high-impact technology solutions. Our global team works on challenging projects across different industries, combining technical excellence, innovation, and close collaboration with our clients.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.