Ascentt
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Data Engineer
role at
Ascentt We are seeking a highly skilled and motivated
Data Engineer
to join our team in
Dallas, TX . In this role, you will design and implement scalable data pipelines, build robust data infrastructure, and collaborate with cross-functional teams to support analytics and data-driven decision-making. Key Responsibilities Build, optimize, and maintain scalable data pipelines (ETL/ELT) Develop data architectures and models for analytics and reporting Integrate and transform data from diverse sources such as APIs, files, logs, and databases Collaborate with Data Scientists, Analysts, and Engineers to understand data needs Ensure data quality and integrity through validation and monitoring Automate workflows using orchestration tools like Apache Airflow or Prefect Monitor and optimize performance of data systems and pipelines Manage data infrastructure on cloud platforms (AWS, GCP, Azure) Implement data governance, security, and compliance best practices Create and maintain documentation of data architecture and pipelines Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, or related field 3+ years of experience in Data Engineering or similar role Proficiency with Python and SQL Experience with frameworks like Apache Spark, Kafka, or Flink Experience with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse) Knowledge of relational and NoSQL databases Experience with orchestration tools (Airflow, Luigi, Prefect) Familiarity with CI/CD and version control systems (Git) Strong analytical and problem-solving skills Excellent communication skills Preferred Qualifications Experience with real-time or streaming data systems Knowledge of data governance, privacy, and compliance standards (GDPR, HIPAA) Experience with Infrastructure-as-Code tools like Terraform or CloudFormation Familiarity with containerization and DevOps tools (Docker, Kubernetes) Experience with BI tools like Tableau, Power BI, or Looker Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and Consulting This job is active and accepting applications.
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Data Engineer
role at
Ascentt We are seeking a highly skilled and motivated
Data Engineer
to join our team in
Dallas, TX . In this role, you will design and implement scalable data pipelines, build robust data infrastructure, and collaborate with cross-functional teams to support analytics and data-driven decision-making. Key Responsibilities Build, optimize, and maintain scalable data pipelines (ETL/ELT) Develop data architectures and models for analytics and reporting Integrate and transform data from diverse sources such as APIs, files, logs, and databases Collaborate with Data Scientists, Analysts, and Engineers to understand data needs Ensure data quality and integrity through validation and monitoring Automate workflows using orchestration tools like Apache Airflow or Prefect Monitor and optimize performance of data systems and pipelines Manage data infrastructure on cloud platforms (AWS, GCP, Azure) Implement data governance, security, and compliance best practices Create and maintain documentation of data architecture and pipelines Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, or related field 3+ years of experience in Data Engineering or similar role Proficiency with Python and SQL Experience with frameworks like Apache Spark, Kafka, or Flink Experience with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse) Knowledge of relational and NoSQL databases Experience with orchestration tools (Airflow, Luigi, Prefect) Familiarity with CI/CD and version control systems (Git) Strong analytical and problem-solving skills Excellent communication skills Preferred Qualifications Experience with real-time or streaming data systems Knowledge of data governance, privacy, and compliance standards (GDPR, HIPAA) Experience with Infrastructure-as-Code tools like Terraform or CloudFormation Familiarity with containerization and DevOps tools (Docker, Kubernetes) Experience with BI tools like Tableau, Power BI, or Looker Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and Consulting This job is active and accepting applications.
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