Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
September 9, 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
United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Database Design #Hadoop #XML (eXtensible Markup Language) #Data Accuracy #Data Processing #Spark (Apache Spark) #Business Objects #Scala #Python #R #Databases #Data Governance #SAS #Datasets #JavaScript #SPSS (Statistical Package for the Social Sciences) #Tableau #Data Pipeline #Programming #CouchDB #BO (Business Objects) #Data Mapping #"ETL (Extract #Transform #Load)" #Qlik #Data Analysis #Oracle #Visualization #SQL Queries #Data Mining #Data Engineering
Role description
About the Role
In this role, you will leverage your expertise in Spark, Scala, and SQL to design and optimize data solutions, reverse engineer existing code, and uncover insights from complex datasets. You will play a critical role in ensuring high-quality data pipelines, effective models, and actionable analytics to drive business performance.
Key Responsibilities
• Use automated tools to extract data from primary and secondary sources.
• Cleanse and prepare data by removing corrupted records, fixing coding errors, and addressing quality issues.
• Reverse engineer SQL queries and Scala code to understand and document functionality.
• Identify, analyze, and interpret patterns and trends within large, complex datasets.
• Build database designs, data models, and implement techniques for data mining.
• Use statistical and data analysis tools to generate insights, predictions, and recommendations.
• Collaborate with programmers, engineers, and business stakeholders to identify opportunities for process improvement and system modifications.
• Develop and maintain data governance strategies to ensure data accuracy and consistency.
• Prepare reports and visualizations for management, clearly communicating trends, patterns, and insights.
• Analyze local, national, and global trends impacting the client and the industry.
• Support ongoing epics with data mapping, issue tracking, and resolution of data-related queries.
Must-Have Skills
• 5+ years of data engineering experience.
• Strong knowledge of Spark and Scala; proficient in SQL.
• Ability to reverse engineer SQL queries and Scala code.
• Experience in designing databases, creating data models, and implementing data mining techniques.
• Strong analytical skills to interpret complex data patterns and trends.
Good-to-Have Skills
• Experience with data processing platforms such as Hadoop and CouchDB.
• Knowledge of additional programming languages (SQL, Oracle, R, Python).
• Familiarity with reporting tools (Business Objects) and frameworks (ETL, JavaScript, XML).
• Proficiency with statistical tools (Excel, SPSS, SAS).
• Exposure to visualization platforms such as Tableau and Qlik.
• Understanding of data mapping and hospitality-specific systems (ACRS, MARSHA).
About the Role
In this role, you will leverage your expertise in Spark, Scala, and SQL to design and optimize data solutions, reverse engineer existing code, and uncover insights from complex datasets. You will play a critical role in ensuring high-quality data pipelines, effective models, and actionable analytics to drive business performance.
Key Responsibilities
• Use automated tools to extract data from primary and secondary sources.
• Cleanse and prepare data by removing corrupted records, fixing coding errors, and addressing quality issues.
• Reverse engineer SQL queries and Scala code to understand and document functionality.
• Identify, analyze, and interpret patterns and trends within large, complex datasets.
• Build database designs, data models, and implement techniques for data mining.
• Use statistical and data analysis tools to generate insights, predictions, and recommendations.
• Collaborate with programmers, engineers, and business stakeholders to identify opportunities for process improvement and system modifications.
• Develop and maintain data governance strategies to ensure data accuracy and consistency.
• Prepare reports and visualizations for management, clearly communicating trends, patterns, and insights.
• Analyze local, national, and global trends impacting the client and the industry.
• Support ongoing epics with data mapping, issue tracking, and resolution of data-related queries.
Must-Have Skills
• 5+ years of data engineering experience.
• Strong knowledge of Spark and Scala; proficient in SQL.
• Ability to reverse engineer SQL queries and Scala code.
• Experience in designing databases, creating data models, and implementing data mining techniques.
• Strong analytical skills to interpret complex data patterns and trends.
Good-to-Have Skills
• Experience with data processing platforms such as Hadoop and CouchDB.
• Knowledge of additional programming languages (SQL, Oracle, R, Python).
• Familiarity with reporting tools (Business Objects) and frameworks (ETL, JavaScript, XML).
• Proficiency with statistical tools (Excel, SPSS, SAS).
• Exposure to visualization platforms such as Tableau and Qlik.
• Understanding of data mapping and hospitality-specific systems (ACRS, MARSHA).
