Data Engineer - Bridgeville, PA/ Homewood, AL/Irving, TX/ Brooklyn, OH - Onsite - JOBID587
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires expertise in SQL, programming (Python, Scala, Java), cloud platforms (AWS, Azure, GCP), and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 7, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Bridgeville, PA
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🧠 - Skills detailed
#Talend #Apache Airflow #GDPR (General Data Protection Regulation) #AWS (Amazon Web Services) #Airflow #Hadoop #Data Quality #BigQuery #SQL (Structured Query Language) #Programming #Databases #Security #Azure #Snowflake #Big Data #dbt (data build tool) #GCP (Google Cloud Platform) #Scala #Data Engineering #Spark (Apache Spark) #Python #Fivetran #Data Security #Informatica #Luigi #Compliance #Kafka (Apache Kafka) #Data Science #Java #Redshift #"ETL (Extract #Transform #Load)" #Computer Science #Data Pipeline #Cloud
Role description
Key Responsibilities:
• Design, develop, and maintain scalable and robust data pipelines.
•
• Integrate data from multiple sources, including APIs, cloud platforms, databases, and third-party systems.
•
• Build and manage data infrastructure and architecture that supports analytics and reporting needs.
•
• Ensure data quality, consistency, reliability, and governance across systems.
•
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
•
• Implement data security best practices to ensure compliance with privacy and regulatory standards (GDPR, HIPAA, etc.).
•
• Monitor pipeline performance and troubleshoot issues.
•
• Automate repetitive tasks to improve efficiency and reduce manual workloads.
Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
•
• Experience in data engineering or a related role.
•
• Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java).
•
• Experience with data pipeline tools such as Apache Airflow, Luigi, or similar.
•
• Strong understanding of ETL/ELT processes and tools (e.g., Talend, Informatica, Fivetran, dbt).
•
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
•
• Experience working with big data technologies like Spark, Hadoop, or Kafka.
•
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
•
• Strong problem-solving and communication skills.
Key Responsibilities:
• Design, develop, and maintain scalable and robust data pipelines.
•
• Integrate data from multiple sources, including APIs, cloud platforms, databases, and third-party systems.
•
• Build and manage data infrastructure and architecture that supports analytics and reporting needs.
•
• Ensure data quality, consistency, reliability, and governance across systems.
•
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
•
• Implement data security best practices to ensure compliance with privacy and regulatory standards (GDPR, HIPAA, etc.).
•
• Monitor pipeline performance and troubleshoot issues.
•
• Automate repetitive tasks to improve efficiency and reduce manual workloads.
Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
•
• Experience in data engineering or a related role.
•
• Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java).
•
• Experience with data pipeline tools such as Apache Airflow, Luigi, or similar.
•
• Strong understanding of ETL/ELT processes and tools (e.g., Talend, Informatica, Fivetran, dbt).
•
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
•
• Experience working with big data technologies like Spark, Hadoop, or Kafka.
•
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
•
• Strong problem-solving and communication skills.
