Posting record
Open 10+ days
- Scalepex's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Scalepex, so its true age is longer.
Last checked Nov 1, 2026.
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- 3–7 years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
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Skills mentioned
About the role
About Scalepex
Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.
At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.
Job Summary
We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership , ensuring high-quality data systems that power business insights and analytics products.
You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.
Requirements
Key Responsibilities
- Sr Data Engineer will understand the business need and design the data pipelines, translate data into business insights, data cleansing and ETL.
- Experience in Databricks, GitHub Actions.
- Understand CI/CD, Aerospike
- Gather requirements from vested teams to build features.
- Self-motivated individual will use their love of user interfaces to balance design and function, and thrive in a fast-paced environment, knowledge in Angular / Play Framework is a plus.
- Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time.
- Be a team player who works effortlessly with people.
Required Qualifications
- 3–7 years of experience in data engineering or software development at an enterprise level
- Strong hands-on experience with:
- Apache Spark (Scala)
- Python
- MySQL and relational databases
- Columnar storage formats (e.g., Apache Parquet)
- Experience with AWS ecosystem , including data lake architectures
- Familiarity with:
- Airflow for orchestration
- Databricks
- CI/CD pipelines (e.g., GitHub Actions)
- Strong understanding of data modeling, storage, and access patterns
- Experience building highly scalable, high-volume data systems
- Solid understanding of ETL processes and data integration layers
Preferred Qualifications
- Experience with:
- Java
- Angular or Play Framework
- Tableau or other BI tools
- Aerospike or NoSQL databases
- Knowledge of Hadoop ecosystem and EMR management
- Experience working in AdTech or digital media environments
- Familiarity with Linux systems
Benefits
- Contractor scheme
- 100% Remote
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