

PEOPLE FORCE CONSULTING INC
Data Engineer - SQL + Snowflake
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10 years of experience, focusing on SQL and Snowflake, for a remote position. The contract length is unspecified, with a pay rate of "unknown." Candidates should have healthcare industry experience and effective communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL (Structured Query Language) #dbt (data build tool) #Unit Testing #"ETL (Extract #Transform #Load)" #Data Profiling #Snowflake #Agile #Data Engineering
Role description
As a Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .
Experience: - 10 Years
Location: - Remote / PST times
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory skills:-
• SQL: Highly Skilled.
Must be familiar with common table elements (CTEs), complex joins, and analytic & windowing functions.
• Snowflake: Prefer candidates with real-world experience using Snowflake.
• Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.
• Effective communication skills to communicate internally within team and externally across other teams, notably Product and QA
• Understands the scope and context of the work and takes initiative to achieve the goals, rather than waiting to take specific directionn.
Good to have skills: -
• DBT: Prefer candidates with real-world DBT experience.
• Healthcare Industry Experience: Some experience is required, preferably Payer experience.
Job Summary: -
• Data profiling to identify primary keys and issues with the data.
• ETL to bring data onto the Data Platform, de-duplicate data, create or update dimensional data structures, and produce use case-specific output.
• Unit testing, functional testing, and performance testing and tuning.
• Interacting with the Product team to understand and refine requirements.
• Interacting with QA to address reported findings.
• Working individually and as a team to achieve our goals.
• Taking initiative to take on additional work if the present work stream slows down
As a Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .
Experience: - 10 Years
Location: - Remote / PST times
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory skills:-
• SQL: Highly Skilled.
Must be familiar with common table elements (CTEs), complex joins, and analytic & windowing functions.
• Snowflake: Prefer candidates with real-world experience using Snowflake.
• Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.
• Effective communication skills to communicate internally within team and externally across other teams, notably Product and QA
• Understands the scope and context of the work and takes initiative to achieve the goals, rather than waiting to take specific directionn.
Good to have skills: -
• DBT: Prefer candidates with real-world DBT experience.
• Healthcare Industry Experience: Some experience is required, preferably Payer experience.
Job Summary: -
• Data profiling to identify primary keys and issues with the data.
• ETL to bring data onto the Data Platform, de-duplicate data, create or update dimensional data structures, and produce use case-specific output.
• Unit testing, functional testing, and performance testing and tuning.
• Interacting with the Product team to understand and refine requirements.
• Interacting with QA to address reported findings.
• Working individually and as a team to achieve our goals.
• Taking initiative to take on additional work if the present work stream slows down






