Senior Data Engineer

ImagineX

Senior Data Engineer at ImagineX Studio optimizing data pipelines and working with cross-functional teams for data initiatives. Focused on building robust data architecture and supporting business performance metrics.

Posted 5/5/2026full-timeRemote • 🇨🇷 Costa RicaSeniorWebsite

Tech Stack

Tools & technologies

AzureSQLSSIS

About the role

Key responsibilities & impact

Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Strong communication needed.
Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.

Requirements

What you’ll need

5+ years of experience in Data Engineering
Strong Knowledge of Microsoft Azure tech stack
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience managing the Extract, Load, and Transform (ELT) processes
Strong knowledge of Data Modeling, Data Integration & Ingestion
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience with big data tools: ADLS, Databricks, ADF, Synapse and data-related Azure services.
Experience with data pipeline and workflow management tools: SSIS, ADF.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.

Benefits

Comp & perks

Unlimited Paid Time Off
Private Health and Dental Insurance
Work from Home (We also have a cool office)
Learning Opportunities and New Technology
Job Stability
Excellent Team!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipeline architectureSQLdata modelingdata integrationdata ingestionbig data technologiesExtract, Load, Transform (ELT)analytics toolsroot cause analysisdata transformation

Soft Skills

strong communicationanalytical skillsproject managementorganizational skillscross-functional collaboration