Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of over 6 months, offering a pay rate of $60,000 - $95,000 per year. Key skills include AWS, ETL, Java, Python, and experience with SQL Server and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
431.8181818182
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🗓️ - Date discovered
September 15, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX 75244
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🧠 - Skills detailed
#Data Lake #Programming #Python #Data Integrity #Looker #Database Performance #SQL (Structured Query Language) #Database Design #SQL Queries #Agile #Shell Scripting #Scripting #Databases #Hadoop #AWS (Amazon Web Services) #SQL Server #Cloud #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Scala #Talend #Java #Data Warehouse #Microsoft SQL #Data Manipulation #Unix #Big Data #Microsoft SQL Server #Data Analysis #Automation #Data Pipeline #Apache Hive #Datasets #Data Engineering #Bash #Azure #MS SQL (Microsoft SQL Server) #Oracle
Role description
Job OverviewWe are seeking a skilled Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our data-driven decision-making processes. You will work closely with data analysts and other stakeholders to ensure the availability and quality of data for analytics and reporting purposes.
Duties
Design and implement scalable data pipelines using ETL processes to extract, transform, and load data from various sources into data warehouses.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Develop and maintain databases using Microsoft SQL Server, Oracle, and Azure Data Lake.
Utilize big data technologies such as Hadoop, Apache Hive, Spark, and Talend to manage large datasets effectively.
Implement data models and perform model training to enhance predictive analytics capabilities.
Ensure data integrity by performing regular audits and implementing best practices in database design.
Create RESTful APIs for seamless integration of data services across applications.
Conduct performance tuning of SQL queries and optimize database performance.
Participate in Agile development processes to deliver high-quality solutions in a timely manner.
Skills
Proficiency in AWS services for cloud-based data solutions.
Strong programming skills in Java and Python for data manipulation and analysis.
Experience with analytics tools such as Looker for visualizing complex datasets.
Familiarity with linked data concepts and their application in database design.
Knowledge of Shell Scripting (Bash) for automation of tasks within Unix environments.
Excellent analysis skills to interpret complex datasets and derive actionable insights.
Understanding of Agile methodologies to enhance team collaboration and project delivery. We are looking for candidates who are passionate about working with data, possess strong problem-solving abilities, and are eager to contribute to innovative projects that drive business success. If you meet these qualifications and are ready to take on a challenging role as a Data Engineer, we encourage you to apply.
Job Types: Full-time, Part-time, Contract, Temporary, Permanent, Internship, Apprenticeship
Pay: $60,000.00 - $95,000.00 per year
Expected hours: 40 per week
Benefits:
Health insurance
Work Location: In person
Job OverviewWe are seeking a skilled Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our data-driven decision-making processes. You will work closely with data analysts and other stakeholders to ensure the availability and quality of data for analytics and reporting purposes.
Duties
Design and implement scalable data pipelines using ETL processes to extract, transform, and load data from various sources into data warehouses.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Develop and maintain databases using Microsoft SQL Server, Oracle, and Azure Data Lake.
Utilize big data technologies such as Hadoop, Apache Hive, Spark, and Talend to manage large datasets effectively.
Implement data models and perform model training to enhance predictive analytics capabilities.
Ensure data integrity by performing regular audits and implementing best practices in database design.
Create RESTful APIs for seamless integration of data services across applications.
Conduct performance tuning of SQL queries and optimize database performance.
Participate in Agile development processes to deliver high-quality solutions in a timely manner.
Skills
Proficiency in AWS services for cloud-based data solutions.
Strong programming skills in Java and Python for data manipulation and analysis.
Experience with analytics tools such as Looker for visualizing complex datasets.
Familiarity with linked data concepts and their application in database design.
Knowledge of Shell Scripting (Bash) for automation of tasks within Unix environments.
Excellent analysis skills to interpret complex datasets and derive actionable insights.
Understanding of Agile methodologies to enhance team collaboration and project delivery. We are looking for candidates who are passionate about working with data, possess strong problem-solving abilities, and are eager to contribute to innovative projects that drive business success. If you meet these qualifications and are ready to take on a challenging role as a Data Engineer, we encourage you to apply.
Job Types: Full-time, Part-time, Contract, Temporary, Permanent, Internship, Apprenticeship
Pay: $60,000.00 - $95,000.00 per year
Expected hours: 40 per week
Benefits:
Health insurance
Work Location: In person
