Washington Staffing
Data Engineering Position
Design and build robust and scalable data pipelines following best engineering practices for software development, data modeling, data management, and resource optimization for hybrid environments (on-prem and cloud, databases, data warehouse, and lakehouse). Build and maintain robust and scalable data pipelines to ensure the availability, quality, and accessibility of data for analytics and AI applications. Write clean, efficient, and maintainable code for data processing, ensuring solutions are scalable and optimized for performance. Develop and optimize data models that meet analytics and AI requirements, ensuring they are maintainable and aligned with business needs. Implement efficient and cost-effective data storage and retrieval techniques to enhance system performance. Collaborate with data scientists, analysts, and engineering teams to design and integrate data pipelines into production environments seamlessly. Communicate effectively with stakeholders to understand product requirements and ensure alignment with organizational goals. Monitor data pipeline performance, identifying and addressing issues to maintain reliability and efficiency. Performs proactive cost monitoring and management on data pipelines to ensure resources are being used effectively and cost efficiently. Document ETL processes, workflows, and methodologies to ensure knowledge sharing and process continuity within the team. Stay updated on emerging tools, technologies, and methodologies in ETL and data engineering, incorporating innovations into workflows. Participate in team training and professional development opportunities to enhance technical skills and problem-solving capabilities. - 80% hands on coding, 20% leadership We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. Skills and Requirements: 8+ years of experience in Data Analytics/engineering Hands on experience migrating on Prem data to Databricks (ideally migrating from Alteryx to Databricks) Strong understanding of complex ETLs and data sets Extremely strong in SQL, Python, Pyspark Current hands on coding experience in Databricks Experience maintaining and building data pipelines from scratch Experience in aviation industry Experience with prophecy.io Experience with Alteryx Experience with Tableau/Tableau Prep Knowledge of SQL Server, Oracle, Snowflake
Design and build robust and scalable data pipelines following best engineering practices for software development, data modeling, data management, and resource optimization for hybrid environments (on-prem and cloud, databases, data warehouse, and lakehouse). Build and maintain robust and scalable data pipelines to ensure the availability, quality, and accessibility of data for analytics and AI applications. Write clean, efficient, and maintainable code for data processing, ensuring solutions are scalable and optimized for performance. Develop and optimize data models that meet analytics and AI requirements, ensuring they are maintainable and aligned with business needs. Implement efficient and cost-effective data storage and retrieval techniques to enhance system performance. Collaborate with data scientists, analysts, and engineering teams to design and integrate data pipelines into production environments seamlessly. Communicate effectively with stakeholders to understand product requirements and ensure alignment with organizational goals. Monitor data pipeline performance, identifying and addressing issues to maintain reliability and efficiency. Performs proactive cost monitoring and management on data pipelines to ensure resources are being used effectively and cost efficiently. Document ETL processes, workflows, and methodologies to ensure knowledge sharing and process continuity within the team. Stay updated on emerging tools, technologies, and methodologies in ETL and data engineering, incorporating innovations into workflows. Participate in team training and professional development opportunities to enhance technical skills and problem-solving capabilities. - 80% hands on coding, 20% leadership We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. Skills and Requirements: 8+ years of experience in Data Analytics/engineering Hands on experience migrating on Prem data to Databricks (ideally migrating from Alteryx to Databricks) Strong understanding of complex ETLs and data sets Extremely strong in SQL, Python, Pyspark Current hands on coding experience in Databricks Experience maintaining and building data pipelines from scratch Experience in aviation industry Experience with prophecy.io Experience with Alteryx Experience with Tableau/Tableau Prep Knowledge of SQL Server, Oracle, Snowflake