1872 Consulting
Location:
Chicago, IL (Hybrid – 3 days onsite in the Loop, 2 days WFH)
Salary:
Up to $165K base + 15% annual bonus
We’re seeking a
Senior Azure Data Engineer
to design, build, and optimize data pipelines in an
Azure/Snowflake
environment using
Databricks, ADLS, Snowflake, and Python . You’ll join a growing analytics team of six and serve as one of the most senior engineers helping power our industry-leading real estate analytics platform.
Responsibilities
Design, develop, and maintain data pipelines using
Databricks
for large-scale datasets.
Write efficient, reusable
SQL
and
Python
code for ingestion, transformation, and integration.
Optimize workflows for performance, reliability, and cost-efficiency in the cloud.
Collaborate with data scientists, analysts, and business stakeholders.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot data pipelines to ensure high availability and integrity.
Leverage
Databricks
for advanced analytics, ML workflows, and real-time processing.
Integrate data from APIs, databases, blob storage, SFTP, and streaming sources.
Mentor junior data engineers and share best practices.
Drive performance tuning and optimization across the data platform.
Qualifications
5+ years of
Data Engineering
experience
2+ years working in
Azure environments
Strong
Python
and
Databricks
experience (required)
Advanced
SQL
skills
Hands-on
ELT
and
Bronze/Silver/Gold
transformation experience
Nice to Have
Snowflake
and
Azure Data Lake Storage (ADLS)
experience
Familiarity with
data modeling
(dimensions, measures, slowly changing dimensions)
Knowledge of
Inmon vs Kimball
(Star Schema vs 3NF)
Experience with
Delta Live Tables, Spark, DuckDB , or
Durable Functions
Experience with
Parquet, Delta Lake, or Iceberg
formats
Bachelor’s or Master’s in
Computer Science
or related field
Azure certifications
are a plus
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Information Technology
Referrals increase your chances of interviewing at 1872 Consulting by 2x
#J-18808-Ljbffr
Chicago, IL (Hybrid – 3 days onsite in the Loop, 2 days WFH)
Salary:
Up to $165K base + 15% annual bonus
We’re seeking a
Senior Azure Data Engineer
to design, build, and optimize data pipelines in an
Azure/Snowflake
environment using
Databricks, ADLS, Snowflake, and Python . You’ll join a growing analytics team of six and serve as one of the most senior engineers helping power our industry-leading real estate analytics platform.
Responsibilities
Design, develop, and maintain data pipelines using
Databricks
for large-scale datasets.
Write efficient, reusable
SQL
and
Python
code for ingestion, transformation, and integration.
Optimize workflows for performance, reliability, and cost-efficiency in the cloud.
Collaborate with data scientists, analysts, and business stakeholders.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot data pipelines to ensure high availability and integrity.
Leverage
Databricks
for advanced analytics, ML workflows, and real-time processing.
Integrate data from APIs, databases, blob storage, SFTP, and streaming sources.
Mentor junior data engineers and share best practices.
Drive performance tuning and optimization across the data platform.
Qualifications
5+ years of
Data Engineering
experience
2+ years working in
Azure environments
Strong
Python
and
Databricks
experience (required)
Advanced
SQL
skills
Hands-on
ELT
and
Bronze/Silver/Gold
transformation experience
Nice to Have
Snowflake
and
Azure Data Lake Storage (ADLS)
experience
Familiarity with
data modeling
(dimensions, measures, slowly changing dimensions)
Knowledge of
Inmon vs Kimball
(Star Schema vs 3NF)
Experience with
Delta Live Tables, Spark, DuckDB , or
Durable Functions
Experience with
Parquet, Delta Lake, or Iceberg
formats
Bachelor’s or Master’s in
Computer Science
or related field
Azure certifications
are a plus
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Information Technology
Referrals increase your chances of interviewing at 1872 Consulting by 2x
#J-18808-Ljbffr