Senior Data Engineer - Azure Required

ImagineX Consulting; United States; Remote; USD 130 - 200; Full time

Benefits offered by this job

Unlimited Paid Time Off

Private Health and Dental Insurance

Work from Home

Job summary

ImagineX Consulting is seeking a Senior Data Engineer to design, build, and optimize data pipelines and architecture for cross-functional teams. The role focuses on scalable data delivery, real-time ingestion, and robust data modeling within a Microsoft Azure stack.

You will work with analytics, software development, and data science teams to ensure secure, efficient data flow across multiple regions and data centers. Strong communication and self-direction are essential for success.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong Knowledge of Microsoft Azure tech stack.
• Experience with Azure Functions.
• Experience with Docker.
• Experience with Real Time/Streaming Data Ingestion.
• Experience building and optimizing big data pipelines and datasets.
• Experience managing ELT processes.
• Strong knowledge of Data Modeling, Data Integration & Ingestion.
• Advanced SQL with relational databases and various DBs.
• Experience with Azure data services (ADLS, Databricks, ADF, Synapse).
• Experience with data pipeline/workflow tools (SSIS, ADF).
• Experience with scalable big data stores and stream processing.
• Strong project management and organizational skills.
• Experience collaborating with cross-functional teams.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets meeting business requirements.
• Identify and implement internal process improvements for data delivery and infrastructure scalability.
• Build infrastructure for ETL using SQL and Azure big data technologies.
• Develop analytics tools leveraging the data pipeline for actionable insights.
• Collaborate with executives, product, data, and design teams on data needs.
• Ensure data security across national boundaries with multiple data centers and Azure regions.
• Create data tools for analytics and data science teams.
• Work with data/analytics teams to enhance data systems functionality.
• Conduct root cause analysis on data and processes to find improvement opportunities.
• Analyze unstructured data and derive insights.
• Build processes for data transformation, structures, metadata, dependencies, and workload management.
• Demonstrate history of extracting value from large, disconnected datasets.

Skills

Azure

SQL

Data Modeling

ELT/ETL

Streaming Data

Docker

Azure Functions

Databricks

ADF

Synapse

Data Pipelines

Tools

Databricks

ADF

Synapse

ADLS

SSIS

Job description

This remote role is based in Costa Rica and only open to citizens and permanent residents of Costa Rica who do not need visa sponsorship.

We are looking for a savvy Senior Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Senior Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities

• 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.

Qualifications

• 5+ years of experience in Data Engineering
• Strong Knowledge of Microsoft Azure tech stack - a must
• Experience with Azure Functions
• Experience with Docker
• Experience with Real Time/Streaming Data Ingestion
• 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.

Nice to have

• Experience with Microsoft Power Platform (PowerApps, PowerAutomate, PowerBI)
• Experience with some of the following tools: Azure DevOps, GitHub Actions, Synapse, Stream Analytics, SonarQube, PyTest
• Experience with one of the object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Strategic Skills

• Excellent verbal and written communication skills.
• Team player.
• Experience working within agile environments.

Benefits

• 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!
• And more....