About this opportunity
Taylors lists this Data Engineer Jr (Databricks) opportunity in colonial hills, South Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Language: Bilingual Spanish/English (mandatory; direct interaction with North American clients).
Industry / Stack: Data projects for U.S. clients; environment strongly aligned with Databricks / Lakehouse.
About the Role
We are looking for Data Engineer to build and run end-to-end data pipelines for North American clients. The priority is solid technical fundamentals; specific certification or training in emerging technologies (including Databricks) can be developed internally.
Responsibilities
Design, build, and maintain data ingestion, transformation, and modeling pipelines (batch and, where applicable, streaming).
Implement best practices for data quality, observability, and reliability (testing, monitoring, SLAs, documentation).
Optimize performance and costs in data workloads (partitioning, formats, tuning).
Collaborate with analytics / data science teams to enable production-ready datasets.
Participate in technical reviews, standard definition, and continuous delivery improvement.
Communicate progress and risks clearly with stakeholders in English (clients and teams in the U.S.).
Requirements (Must-Have)
Strong command of SQL and data modeling; solid software engineering foundations (version control, code review, CI/CD preferred).
Experience with Python or Scala (or another relevant data language).
Solid understanding of data warehousing / lakehouse concepts, ETL/ELT, orchestration, and large-scale data management.
Experience working with cloud services (AWS / Azure / GCP) or equivalent platforms.
Conversational / professional English (meetings, technical reading and writing).
Nice-to-Have
Experience with Databricks (Spark, Delta Lake, Lakehouse) or similar platforms.
Knowledge of Postgres and OLTP concepts, and how they coexist with modern architectures (e.g., transactional vs. analytical needs).
Familiarity with applied AI trends and/or AI agents (at the integration / infrastructure level, not necessarily advanced ML).
Experience in consulting or delivery for international clients (requirements management, estimations, documentation).
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.