Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,805 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer (Databricks)
Colombia · Ukraine · Poland · Brazil · Argentina · Georgia · Colombia
Open 5 months, first seen by us 155 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Future Opportunities - Data — team source
Department: Future Opportunities - Data
From the employer’s posting
What you’ll work on
Full postingLead clients through big data migrations and implementations
Architect solutions from concept to production, including model deployment
Mentor other team members with structured guidance
Provide technical support for pre-sales efforts
From the employer’s posting
You will lead clients through migrations and architect solutions from concept to production.
ranging from architecture and design to data engineering to model deployment
You will provide structured mentorship for other team members
technical support for pre-sales efforts
What you’ll bring
All qualificationsCore experience
- Experience leading end-to-end Databricks solutions (Lakehouse, ETL, streaming and batch)
- Expert SQL and Spark (or PySpark) skills, including data ingestion from APIs and databases
- Hands-on Python programming experience
- Hands-on experience using dbt within Databricks
- Bachelor's degree or equivalent work experience
Qualification wording
Experience leading design and end-to-end development of distributed Databricks-based solutions, including Lakehouse architectures, ETL pipelines, streaming and batch processing
Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc.
Hands-on programming experience in Python.
Hands-on experience using dbt within Databricks ecosystem.
Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience.
Education & alternatives
- Ability to clearly articulate core Databricks concepts and explain their practical applications. - Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience. - Databricks Certification (highly desirable)
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 110
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Nov 19, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Solvd is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
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
- Scala
- SQL
- AWS
- Azure
- Databricks
- dbt
- Delta Lake
- GCP
- MLflow
- Power BI
- Spark
- Terraform
- PySpark
Where the posting names them
- Hands-on experience in building big data pipelines. - Hands-on programming experience in Python. - Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc.
- Experience with development of interactive dashboards and reports using BI tools, such as Power BI. - Programming experience with Scala. When you join Solvd, you'll…
- Hands-on programming experience in Python. - Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc. - Hands-on experience using dbt within Databricks ecosystem.
- Experience with design and deployment of scalable machine learning pipelines on Databricks using MLflow and Delta Lake. - Experience with Azure, AWS or GCP Databricks deployment. - Experience with Databricks deployments for government clients.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are seeking a highly skilled and consultative Senior Data Engineer with Databricks expertise to join our team. What you'll do
What you bring - Experience leading design and end-to-end development of distributed Databricks-based solutions, including Lakehouse architectures, ETL pipelines, streaming and batch processing, and integration with client's cloud and on-premises enterprise systems. - Hands-on experience in building big data pipelines.
- Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc. - Hands-on experience using dbt within Databricks ecosystem. - Solid understanding of data governance, security, and compliance.
- Hands-on experience with platform optimization: cluster configuration, partitioning strategies, caching, autoscaling, and job orchestration. - Ability to clearly articulate core Databricks concepts and explain their practical applications. - Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience.
- Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience. - Databricks Certification (highly desirable) Nice-to-have
- Experience with DevOps using Terraform. - Experience with design and deployment of scalable machine learning pipelines on Databricks using MLflow and Delta Lake. - Experience with Azure, AWS or GCP Databricks deployment.
- Experience with Azure, AWS or GCP Databricks deployment. - Experience with Databricks deployments for government clients. - Experience with development of interactive dashboards and reports using BI tools, such as Power BI.
- Experience with Databricks deployments for government clients. - Experience with development of interactive dashboards and reports using BI tools, such as Power BI. - Programming experience with Scala.
Nice-to-have - Experience with DevOps using Terraform. - Experience with design and deployment of scalable machine learning pipelines on Databricks using MLflow and Delta Lake.
Your next step
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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
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a highly skilled and consultative Senior Data Engineer with Databricks expertise to join our team.
What you'll do
As a Data Engineer, you will provide technical leadership and guide customers to successful implementations of big data projects, ranging from architecture and design to data engineering to model deployment. You will lead clients through migrations and architect solutions from concept to production. You will provide structured mentorship for other team members and technical support for pre-sales efforts.
What you bring
Experience leading design and end-to-end development of distributed Databricks-based solutions, including Lakehouse architectures, ETL pipelines, streaming and batch processing, and integration with client's cloud and on-premises enterprise systems.
Hands-on experience in building big data pipelines.
Hands-on programming experience in Python.
Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc.
Hands-on experience using dbt within Databricks ecosystem.
Solid understanding of data governance, security, and compliance.
Hands-on experience with platform optimization: cluster configuration, partitioning strategies, caching, autoscaling, and job orchestration.
Ability to clearly articulate core Databricks concepts and explain their practical applications.
Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience.
Databricks Certification (highly desirable)
Nice-to-have
Experience with DevOps using Terraform.
Experience with design and deployment of scalable machine learning pipelines on Databricks using MLflow and Delta Lake.
Experience with Azure, AWS or GCP Databricks deployment.
Experience with Databricks deployments for government clients.
Experience with development of interactive dashboards and reports using BI tools, such as Power BI.
Programming experience with Scala.
When you join Solvd, you'll…
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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Colombia
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