Aklip Technologies
Data Analytics Engineer (Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Engineer with 5+ years of data engineering experience, proficient in ETL/ELT, Python, and cloud platforms like AWS. Contract duration is 6-12 months, located in Sunnyvale, CA (Hybrid), with a W2 pay structure.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Sunnyvale, CA
-
🧠 - Skills detailed
#Spark (Apache Spark) #GIT #Data Migration #Data Lake #Data Pipeline #Delta Lake #Airflow #S3 (Amazon Simple Storage Service) #Version Control #Data Engineering #Migration #Snowflake #Pandas #PySpark #Athena #"ETL (Extract #Transform #Load)" #dbt (data build tool) #Normalization #Data Quality #Documentation #AWS (Amazon Web Services) #Data Manipulation #Anomaly Detection #Data Modeling #Monitoring #Cloud #SQL (Structured Query Language) #Python
Role description
Data Analytics Engineer
Duration: 6-12 Months
Location: Sunnyvale, CA(Hybrid)
Job type: Contract(Only W2)
Job Description
We are looking for a data analytics engineer (a data engineer who specializes in the data analytics space) with the following expertise:
Core Professional Competencies
• Communication: Clearly communicates technical work to diverse audiences, verbally and in writing.
Participates in peer reviews and team discussions with clarity and purpose.
• Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
• Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
• Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
• Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.
Data Engineering Expertise (5+ years)
• Experienced in building and maintaining data pipelines (ETL/ELT)
• Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
• Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
• Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
• Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)
Data Infrastructure & Management (5+ years)
• Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
• Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
• Familiar with version control, CI/CD practices for data workflows (e.g., Git)
Skill Sets Niche Skill Experience Preference
Snowflake No 2-5 Years Is Required
Data Migration No 5-10 Years Is Required
Database Technologies No 5-10 Years Is Required
Advanced SQL No 5-10 Years Is Required
Data Engineering No 5-10 Years Is Required
python No 5-10 Years Is Required
Data Analytics Engineer
Duration: 6-12 Months
Location: Sunnyvale, CA(Hybrid)
Job type: Contract(Only W2)
Job Description
We are looking for a data analytics engineer (a data engineer who specializes in the data analytics space) with the following expertise:
Core Professional Competencies
• Communication: Clearly communicates technical work to diverse audiences, verbally and in writing.
Participates in peer reviews and team discussions with clarity and purpose.
• Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
• Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
• Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
• Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.
Data Engineering Expertise (5+ years)
• Experienced in building and maintaining data pipelines (ETL/ELT)
• Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
• Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
• Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
• Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)
Data Infrastructure & Management (5+ years)
• Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
• Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
• Familiar with version control, CI/CD practices for data workflows (e.g., Git)
Skill Sets Niche Skill Experience Preference
Snowflake No 2-5 Years Is Required
Data Migration No 5-10 Years Is Required
Database Technologies No 5-10 Years Is Required
Advanced SQL No 5-10 Years Is Required
Data Engineering No 5-10 Years Is Required
python No 5-10 Years Is Required
