CloudHive
This range is provided by CloudHive. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $140,000.00/yr - $170,000.00/yr
Job Title:
Snowflake Data Engineer
Location:
Columbia, Missouri (Hybrid — 50% Onsite / 50% Remote) - (Week on, Week off)
Experience Level:
4–7 Years
Employment Type:
Full-Time
About the Role We are seeking a highly skilled
Snowflake Data Engineer
to join our clients' growing data and analytics team. The ideal candidate will have deep experience designing, developing, and optimizing data pipelines and architectures within the Snowflake ecosystem. This hybrid role offers the flexibility of remote work combined with in-person collaboration at our Columbia, Missouri office.
Key Responsibilities
Design, build, and maintain scalable data pipelines and ETL processes in
Snowflake .
Develop and optimize
data models, schemas, and transformations
for analytics and reporting.
Implement
data quality, governance, and security best practices .
Integrate data from multiple structured and unstructured sources using modern data ingestion tools.
Work closely with data analysts, BI developers, and business stakeholders to deliver high-impact data solutions.
Monitor and troubleshoot data workflows, ensuring reliability and performance.
Automate recurring data processes and improve system efficiencies.
Required Qualifications
4–7 years
of professional experience in
data engineering
or a related field.
Strong hands‑on experience with
Snowflake , including data warehousing, performance tuning, and query optimization.
Proficiency in
SQL
and
Python
(or another scripting language).
Experience with
ETL/ELT tools
(e.g., dbt, Talend, Informatica, Matillion, Airflow).
Familiarity with
cloud platforms
(AWS, Azure, or GCP).
Strong understanding of
data modeling
(star/snowflake schema) and
data warehouse concepts .
Excellent problem‑solving and communication skills.
Preferred Skills
Exposure to
modern data stack tools
(e.g., Fivetran, Stitch, Dagster).
Knowledge of
data governance frameworks
and
security compliance .
Background in analytics, BI, or data visualization tools (e.g., Tableau, Power BI, Looker).
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Consulting
Industries Insurance
#J-18808-Ljbffr
Base pay range $140,000.00/yr - $170,000.00/yr
Job Title:
Snowflake Data Engineer
Location:
Columbia, Missouri (Hybrid — 50% Onsite / 50% Remote) - (Week on, Week off)
Experience Level:
4–7 Years
Employment Type:
Full-Time
About the Role We are seeking a highly skilled
Snowflake Data Engineer
to join our clients' growing data and analytics team. The ideal candidate will have deep experience designing, developing, and optimizing data pipelines and architectures within the Snowflake ecosystem. This hybrid role offers the flexibility of remote work combined with in-person collaboration at our Columbia, Missouri office.
Key Responsibilities
Design, build, and maintain scalable data pipelines and ETL processes in
Snowflake .
Develop and optimize
data models, schemas, and transformations
for analytics and reporting.
Implement
data quality, governance, and security best practices .
Integrate data from multiple structured and unstructured sources using modern data ingestion tools.
Work closely with data analysts, BI developers, and business stakeholders to deliver high-impact data solutions.
Monitor and troubleshoot data workflows, ensuring reliability and performance.
Automate recurring data processes and improve system efficiencies.
Required Qualifications
4–7 years
of professional experience in
data engineering
or a related field.
Strong hands‑on experience with
Snowflake , including data warehousing, performance tuning, and query optimization.
Proficiency in
SQL
and
Python
(or another scripting language).
Experience with
ETL/ELT tools
(e.g., dbt, Talend, Informatica, Matillion, Airflow).
Familiarity with
cloud platforms
(AWS, Azure, or GCP).
Strong understanding of
data modeling
(star/snowflake schema) and
data warehouse concepts .
Excellent problem‑solving and communication skills.
Preferred Skills
Exposure to
modern data stack tools
(e.g., Fivetran, Stitch, Dagster).
Knowledge of
data governance frameworks
and
security compliance .
Background in analytics, BI, or data visualization tools (e.g., Tableau, Power BI, Looker).
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Consulting
Industries Insurance
#J-18808-Ljbffr