Fixity Technologies
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "Unknown" and a pay rate of "Unknown." Key skills include SQL, Python, cloud platforms (AWS, Azure, GCP), and big data technologies. Requires 3+ years of Data Engineering experience and a relevant degree.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Computer Science #Batch #Data Science #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Compliance #Apache Spark #Redshift #SQL (Structured Query Language) #GCP (Google Cloud Platform) #DevOps #Cloud #Data Engineering #Data Warehouse #Data Governance #Java #Apache Kafka #BI (Business Intelligence) #Business Analysis #Security #Databases #Data Quality #Web Services #Microsoft Azure #Snowflake #Data Lake #Version Control #Databricks #Scala #Airflow #Azure #Data Mart #Apache Airflow #Spark (Apache Spark) #Data Pipeline #Kafka (Apache Kafka) #Big Data #Datasets #Data Architecture #Python #AWS (Amazon Web Services) #Data Modeling #Data Processing #Database Performance
Role description
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and machine learning initiatives. The ideal candidate will have experience working with large datasets, cloud platforms, ETL/ELT processes, and modern data engineering tools.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines.
Build and optimize data warehouses, data lakes, and data marts.
Integrate data from multiple sources, including APIs, databases, and third-party systems.
Develop scalable solutions for batch and real-time data processing.
Ensure data quality, integrity, security, and governance standards are met.
Collaborate with Data Scientists, Business Analysts, and stakeholders to understand data requirements.
Monitor and troubleshoot data workflows and production issues.
Optimize database performance and query efficiency.
Implement data modeling techniques to support reporting and analytics.
Document data architecture, processes, and technical specifications.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
3+ years of experience in Data Engineering.
Strong proficiency in SQL and database technologies.
Experience with Python, Scala, Java, or Spark.
Hands-on experience with ETL tools and frameworks.
Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform.
Knowledge of data warehousing concepts and dimensional modeling.
Experience with big data technologies such as Apache Spark, Apache Kafka, and Apache Airflow.
Familiarity with CI/CD, DevOps practices, and version control systems.
Preferred Qualifications
Experience with cloud data platforms such as Snowflake, Databricks, or Redshift.
Knowledge of data governance, security, and compliance frameworks.
Experience supporting machine learning or advanced analytics workloads.
Relevant cloud or data engineering certifications.
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and machine learning initiatives. The ideal candidate will have experience working with large datasets, cloud platforms, ETL/ELT processes, and modern data engineering tools.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines.
Build and optimize data warehouses, data lakes, and data marts.
Integrate data from multiple sources, including APIs, databases, and third-party systems.
Develop scalable solutions for batch and real-time data processing.
Ensure data quality, integrity, security, and governance standards are met.
Collaborate with Data Scientists, Business Analysts, and stakeholders to understand data requirements.
Monitor and troubleshoot data workflows and production issues.
Optimize database performance and query efficiency.
Implement data modeling techniques to support reporting and analytics.
Document data architecture, processes, and technical specifications.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
3+ years of experience in Data Engineering.
Strong proficiency in SQL and database technologies.
Experience with Python, Scala, Java, or Spark.
Hands-on experience with ETL tools and frameworks.
Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform.
Knowledge of data warehousing concepts and dimensional modeling.
Experience with big data technologies such as Apache Spark, Apache Kafka, and Apache Airflow.
Familiarity with CI/CD, DevOps practices, and version control systems.
Preferred Qualifications
Experience with cloud data platforms such as Snowflake, Databricks, or Redshift.
Knowledge of data governance, security, and compliance frameworks.
Experience supporting machine learning or advanced analytics workloads.
Relevant cloud or data engineering certifications.
