Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 34 years of experience, offering a contract of over 6 months, remote or on-site in the U.S. Requires strong SQL and Python skills, ETL frameworks, and experience with Snowflake and Apache Spark.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Remote
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Automation #GCP (Google Cloud Platform) #Snowflake #Apache Spark #Big Data #BigQuery #Data Modeling #Monitoring #Data Pipeline #Schema Design #Spark (Apache Spark) #AWS (Amazon Web Services) #Python #Cloud #Programming #Compliance #Data Governance #Consulting #Data Analysis #Security #Scala #Data Processing #Data Engineering #Kafka (Apache Kafka) #Data Quality #SQL (Structured Query Language) #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Data Ingestion #Batch #Azure
Role description
Data Engineer (34 Years Experience) Location:
United States
( Remote / On-site based on client needs ) Employment Type:
Full-time
( Contract or Contract-to-Hire ) Experience Level:
Mid-level (34 years) Company:
Aaratech Inc Eligibility:
Open to
U.S. Citizens
and
Green Card holders
only. We do not offer visa sponsorship. About Aaratech Inc Aaratech Inc
is a specialized IT consulting and staffing company that places elite engineering talent into high-impact roles at leading U.S. organizations. We focus on modern technologies across
cloud ,
data , and
software
disciplines. Our client engagements offer long-term stability, competitive compensation, and the opportunity to work on cutting-edge data projects. Position Overview We are seeking a
Data Engineer
with
34 years of experience
to join a client-facing role focused on building and maintaining scalable
data pipelines , robust
data models , and modern
data warehousing
solutions. You'll work with a variety of tools and frameworks, including
Apache Spark ,
Snowflake , and
Python , to deliver clean, reliable, and timely data for advanced analytics and reporting. ?
Key Responsibilities Design and develop scalable
Data Pipelines
to support batch and real-time processing Implement efficient
Extract, Transform, Load (ETL)
processes using tools like
Apache Spark
and
dbt Develop and optimize queries using
SQL
for data analysis and warehousing Build and maintain
Data Warehousing
solutions using platforms like
Snowflake
or
BigQuery Collaborate with business and technical teams to gather requirements and create accurate
Data Models Write reusable and maintainable code in
Python (Programming Language)
for data ingestion, processing, and automation Ensure end-to-end
Data Processing
integrity, scalability, and performance Follow best practices for
data governance ,
security , and
Compliance Required Skills & Experience 34 Years
of experience in
Data Engineering
or a similar role Strong proficiency in
SQL
and
Python (Programming Language) Experience with
Extract, Transform, Load (ETL)
frameworks and building
data pipelines Solid understanding of
Data Warehousing
concepts and architecture Hands-on experience with
Snowflake ,
Apache Spark , or similar big data technologies Proven experience in
Data Modeling
and data schema design Exposure to
Data Processing
frameworks and performance optimization techniques Familiarity with cloud platforms like
AWS ,
GCP , or
Azure Nice to Have Experience with
streaming data pipelines
(e.g., Kafka, Kinesis) Exposure to
CI/CD
practices in data development Prior work in consulting or multi-client environments Understanding of
data quality
frameworks and monitoring strategies
#J-18808-Ljbffr
Data Engineer (34 Years Experience) Location:
United States
( Remote / On-site based on client needs ) Employment Type:
Full-time
( Contract or Contract-to-Hire ) Experience Level:
Mid-level (34 years) Company:
Aaratech Inc Eligibility:
Open to
U.S. Citizens
and
Green Card holders
only. We do not offer visa sponsorship. About Aaratech Inc Aaratech Inc
is a specialized IT consulting and staffing company that places elite engineering talent into high-impact roles at leading U.S. organizations. We focus on modern technologies across
cloud ,
data , and
software
disciplines. Our client engagements offer long-term stability, competitive compensation, and the opportunity to work on cutting-edge data projects. Position Overview We are seeking a
Data Engineer
with
34 years of experience
to join a client-facing role focused on building and maintaining scalable
data pipelines , robust
data models , and modern
data warehousing
solutions. You'll work with a variety of tools and frameworks, including
Apache Spark ,
Snowflake , and
Python , to deliver clean, reliable, and timely data for advanced analytics and reporting. ?
Key Responsibilities Design and develop scalable
Data Pipelines
to support batch and real-time processing Implement efficient
Extract, Transform, Load (ETL)
processes using tools like
Apache Spark
and
dbt Develop and optimize queries using
SQL
for data analysis and warehousing Build and maintain
Data Warehousing
solutions using platforms like
Snowflake
or
BigQuery Collaborate with business and technical teams to gather requirements and create accurate
Data Models Write reusable and maintainable code in
Python (Programming Language)
for data ingestion, processing, and automation Ensure end-to-end
Data Processing
integrity, scalability, and performance Follow best practices for
data governance ,
security , and
Compliance Required Skills & Experience 34 Years
of experience in
Data Engineering
or a similar role Strong proficiency in
SQL
and
Python (Programming Language) Experience with
Extract, Transform, Load (ETL)
frameworks and building
data pipelines Solid understanding of
Data Warehousing
concepts and architecture Hands-on experience with
Snowflake ,
Apache Spark , or similar big data technologies Proven experience in
Data Modeling
and data schema design Exposure to
Data Processing
frameworks and performance optimization techniques Familiarity with cloud platforms like
AWS ,
GCP , or
Azure Nice to Have Experience with
streaming data pipelines
(e.g., Kafka, Kinesis) Exposure to
CI/CD
practices in data development Prior work in consulting or multi-client environments Understanding of
data quality
frameworks and monitoring strategies
#J-18808-Ljbffr
