Aptino, Inc.
Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer, remote in the US, with a contract duration of 6-12 months. Candidates need 3+ years of experience, proficiency in SQL and GCP, and knowledge of Python and machine learning concepts.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 11, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Security #Looker #ML (Machine Learning) #BigQuery #Computer Science #Data Architecture #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Automation #Data Engineering #Statistics #Agile #dbt (data build tool) #Microsoft Power BI #SQL Queries #Datasets #Data Governance #Cloud #Data Ingestion #Python #Data Accuracy #GCP (Google Cloud Platform) #GIT #Scripting #Deployment #Data Manipulation #Scala #Model Deployment #Dataflow #BI (Business Intelligence) #Data Pipeline #Airflow #Data Science #Complex Queries #Compliance #Data Modeling #Scrum #Tableau #Version Control
Role description
Role Name: Analytics Engineer
Location: Remote - US
Duration: 06-12 month
We are seeking a skilled and detail-oriented Analytics Engineer with hands-on experience in Google Cloud Platform (GCP), SQL, Python, and Machine Learning. The ideal candidate will be responsible for designing scalable data models, optimizing data pipelines, and building analytics-ready datasets to enable data-driven decision-making across the organization.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and models in GCP (BigQuery, Dataflow, Cloud Composer, etc.).
• Collaborate with data scientists, analysts, and business teams to transform raw data into meaningful insights.
• Write optimized SQL queries for large datasets and ensure data accuracy, consistency, and performance.
• Use Python for data manipulation, automation, and integration with ML models.
• Support the development and deployment of machine learning models and integrate them into analytics workflows.
• Build and maintain robust ETL/ELT processes for data ingestion and transformation.
• Ensure adherence to best practices for data governance, security, and compliance.
• Create and manage dashboards and reports to visualize KPIs and trends using tools such as Looker, Tableau, or Power BI.
Required Skills & Qualifications:
• Bachelor’s degree in Computer Science, Data Engineering, Statistics, or a related field (Master’s preferred).
• 3+ years of experience as an Analytics Engineer, Data Engineer, or similar role.
• Strong proficiency in SQL (complex queries, optimization, data modeling).
• Hands-on experience with GCP services such as BigQuery, Dataflow, Cloud Functions, and Pub/Sub.
• Proficiency in Python for data transformation, scripting, and ML integration.
• Understanding of Machine Learning concepts and experience supporting model deployment or analysis.
• Experience with version control (Git) and CI/CD workflows.
• Familiarity with modern data stack tools (dbt, Airflow, or similar).
Preferred Qualifications:
• Experience in building data pipelines for ML-driven analytics.
• Knowledge of cloud-based data architectures and MLOps.
• Strong problem-solving, communication, and collaboration skills.
• Experience in Agile or Scrum environments.
Benefits:
• Competitive compensation and performance-based incentives
• Health, dental, and vision insurance
• Paid time off and learning opportunities
• Exposure to cutting-edge analytics and ML projects
Role Name: Analytics Engineer
Location: Remote - US
Duration: 06-12 month
We are seeking a skilled and detail-oriented Analytics Engineer with hands-on experience in Google Cloud Platform (GCP), SQL, Python, and Machine Learning. The ideal candidate will be responsible for designing scalable data models, optimizing data pipelines, and building analytics-ready datasets to enable data-driven decision-making across the organization.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and models in GCP (BigQuery, Dataflow, Cloud Composer, etc.).
• Collaborate with data scientists, analysts, and business teams to transform raw data into meaningful insights.
• Write optimized SQL queries for large datasets and ensure data accuracy, consistency, and performance.
• Use Python for data manipulation, automation, and integration with ML models.
• Support the development and deployment of machine learning models and integrate them into analytics workflows.
• Build and maintain robust ETL/ELT processes for data ingestion and transformation.
• Ensure adherence to best practices for data governance, security, and compliance.
• Create and manage dashboards and reports to visualize KPIs and trends using tools such as Looker, Tableau, or Power BI.
Required Skills & Qualifications:
• Bachelor’s degree in Computer Science, Data Engineering, Statistics, or a related field (Master’s preferred).
• 3+ years of experience as an Analytics Engineer, Data Engineer, or similar role.
• Strong proficiency in SQL (complex queries, optimization, data modeling).
• Hands-on experience with GCP services such as BigQuery, Dataflow, Cloud Functions, and Pub/Sub.
• Proficiency in Python for data transformation, scripting, and ML integration.
• Understanding of Machine Learning concepts and experience supporting model deployment or analysis.
• Experience with version control (Git) and CI/CD workflows.
• Familiarity with modern data stack tools (dbt, Airflow, or similar).
Preferred Qualifications:
• Experience in building data pipelines for ML-driven analytics.
• Knowledge of cloud-based data architectures and MLOps.
• Strong problem-solving, communication, and collaboration skills.
• Experience in Agile or Scrum environments.
Benefits:
• Competitive compensation and performance-based incentives
• Health, dental, and vision insurance
• Paid time off and learning opportunities
• Exposure to cutting-edge analytics and ML projects
