Data Engineer , Blend

Salary not provided

SQL

AWS

GCP

Python

Looker

Airflow

Power BI

Data Flow

Unity

Snowflake

BigQuery

Hive

MicroStrategy

Mid and Senior level

Remote from US

Business performance data & analytics

Be an early applicant

Business performance data & analytics

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Be an early applicant

Salary not provided

SQL

AWS

GCP

Python

Looker

Airflow

Power BI

Data Flow

Unity

Snowflake

BigQuery

Hive

MicroStrategy

Mid and Senior level

Remote from US

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To help advance our understanding of our customers and business performance.

Job

Company

Role

Who you are

3–5 years of experience in data engineering or related field
Proven experience configuring and managing Apache Iceberg environments
Hands-on experience with Snowflake, including familiarity with FDW
Experience integrating cloud storage systems and query engines (e.g., BigQuery, GCP)
Working knowledge of BI tools: MicroStrategy, Looker, Power BI
Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow)
Strong understanding of data lakehouse architecture and performance optimization

Desirable

Familiarity with secure data sharing and access control across tools
Knowledge of metadata catalogs such as Apache Hive, AWS Glue, or Unity Catalog
Background in working with distributed data systems and cloud-native environments

What the job involves

This is a CONTRACT TO POSSIBLE HIRE POSITION!
We’re seeking a Mid-Level Data Engineer with hands-on experience in configuring and optimizing Apache Iceberg infrastructure
The role involves building out our foundational Iceberg data lakehouse architecture and integrating it with key cloud and analytics platforms
You will be a core part of our data engineering team, working closely with analytics and BI teams to ensure seamless data access and usability
Design and implement the initial Apache Iceberg infrastructure
Ensure compatibility and optimization for batch and streaming data use cases
Set up and manage connections between Iceberg and:
Google Cloud Platform (GCP)
Snowflake – With a focus on Federated Data Warehousing (FDW)
MicroStrategy
Looker
Power BI (lower priority, but still considered for downstream enablement)
Build and deploy initial pipelines for data flow from:
Snowflake → Iceberg → MicroStrategy
Monitor and optimize data ingestion, transformation, and delivery
Ensure data quality, lineage, and security compliance throughout the pipeline
Collaborate cross-functionally with data science, analytics, and DevOps teams
Document configuration, design patterns, and integration processes

Our take

As large enterprises digitise at increasingly complex rates, data solutions and advanced analytics are becoming increasingly vital services. Bled360 is a data science solution provider helping these companies leverage the data they harness in transformative ways.

Consisting of data scientists and engineers, the company aids large enterprises in machine learning operations, AI integration and data governance. Overall, it helps to boost the efficiency of data usage.

Blend360 has also been strategically growing through the acquisition of SMEs, in part funded by its 2022 Growth Equity investment. Companies it has acquired include FutureproofAI, enhancing its service offerings and customer base. Its acquisition of Montevideo Labs also enhances its position in LatAm regions.