ARK Solutions, Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a remote contract basis for 8+ years, offering a competitive pay rate. Key skills include SQL, Python, ETL/ELT, and cloud platforms. A Bachelor's degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Data Quality #SaaS (Software as a Service) #Synapse #Apache Airflow #GCP (Google Cloud Platform) #Big Data #Python #Airflow #Scala #Databases #Redshift #Computer Science #Terraform #dbt (data build tool) #Data Processing #Spark (Apache Spark) #Data Ingestion #Data Pipeline #Agile #Azure #Data Science #Security #"ETL (Extract #Transform #Load)" #Data Lake #Data Warehouse #Snowflake #Apache Spark #GIT #AWS (Amazon Web Services) #Databricks #BI (Business Intelligence) #Data Architecture #Kubernetes #Docker #Java #SQL (Structured Query Language) #Data Engineering #Cloud #Data Integration #SQL Queries #Infrastructure as Code (IaC) #Kafka (Apache Kafka) #Fivetran #Scrum
Role description
Title: Senior Data Engineer
Location: Remote
Job Type: Contract
Experience: 8+ Years
Job Summary
We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have expertise in data integration, ETL/ELT development, cloud platforms, and big data technologies. You will work closely with Data Scientists, Analysts, and Software Engineers to deliver reliable, high-quality data that powers business intelligence and analytics.
Key Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data models, data warehouses, and data lakes.
• Build robust data ingestion frameworks for structured and unstructured data.
• Integrate data from APIs, databases, SaaS platforms, and third-party systems.
• Optimize SQL queries and improve data pipeline performance.
• Implement data quality, validation, governance, and security best practices.
• Collaborate with cross-functional teams to define data requirements.
• Automate workflows using orchestration tools.
• Monitor, troubleshoot, and resolve production data issues.
• Document data architecture, workflows, and engineering standards.
Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of professional experience as a Data Engineer.
• Strong SQL development and database optimization skills.
• Proficiency in Python, Scala, or Java.
• Experience building ETL/ELT pipelines.
• Hands-on experience with Apache Spark.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data warehousing and dimensional modeling.
• Experience working with Git and CI/CD pipelines.
Preferred Qualifications
• Experience with Snowflake, Databricks, Redshift, Big Query, or Azure Synapse.
• Knowledge of Apache Airflow, DBT, Kafka, or Fivetran.
• Experience with Docker and Kubernetes.
• Familiarity with Infrastructure as Code (Terraform).
• Exposure to streaming and real-time data processing.
• Experience working in Agile/Scrum environments.
Title: Senior Data Engineer
Location: Remote
Job Type: Contract
Experience: 8+ Years
Job Summary
We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have expertise in data integration, ETL/ELT development, cloud platforms, and big data technologies. You will work closely with Data Scientists, Analysts, and Software Engineers to deliver reliable, high-quality data that powers business intelligence and analytics.
Key Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data models, data warehouses, and data lakes.
• Build robust data ingestion frameworks for structured and unstructured data.
• Integrate data from APIs, databases, SaaS platforms, and third-party systems.
• Optimize SQL queries and improve data pipeline performance.
• Implement data quality, validation, governance, and security best practices.
• Collaborate with cross-functional teams to define data requirements.
• Automate workflows using orchestration tools.
• Monitor, troubleshoot, and resolve production data issues.
• Document data architecture, workflows, and engineering standards.
Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of professional experience as a Data Engineer.
• Strong SQL development and database optimization skills.
• Proficiency in Python, Scala, or Java.
• Experience building ETL/ELT pipelines.
• Hands-on experience with Apache Spark.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data warehousing and dimensional modeling.
• Experience working with Git and CI/CD pipelines.
Preferred Qualifications
• Experience with Snowflake, Databricks, Redshift, Big Query, or Azure Synapse.
• Knowledge of Apache Airflow, DBT, Kafka, or Fivetran.
• Experience with Docker and Kubernetes.
• Familiarity with Infrastructure as Code (Terraform).
• Exposure to streaming and real-time data processing.
• Experience working in Agile/Scrum environments.
