Data Engineer

Job Summary We are seeking a dynamic and innovative Data Engineer to join our team and drive the development of scalable, high-performance data solutions. In this role, you will be instrumental in designing, building, and maintaining robust data pipelines and architectures that enable insightful analysis and strategic decision-making. Your expertise will empower our organization to harness the full potential of big data technologies, cloud platforms, and advanced analytics tools. If you thrive in a fast-paced environment where your technical skills can make a tangible impact, this opportunity is perfect for you! Responsibilities Design, develop, and optimize data pipelines using ETL (Extract, Transform, Load) processes to ensure efficient data flow across systems. Build and maintain scalable data architectures leveraging cloud platforms such as AWS and Azure Data Lake to support large-scale data processing. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions using SQL, Python, Java, and Shell Scripting. Develop and manage data warehouses utilizing technologies like Microsoft SQL Server, Oracle, Apache Hive, and Hadoop to facilitate comprehensive analytics. Implement data modeling strategies for linked data integration and ensure database design aligns with organizational needs. Utilize tools such as Informatica, Talend, Looker, and RESTful APIs to automate workflows and enable seamless data access for analytics purposes. Support model training and analysis activities by preparing clean datasets and ensuring data quality standards are met. Conduct performance tuning of databases and queries to optimize processing speed and resource utilization. Participate actively in Agile development cycles to deliver iterative improvements on data solutions while maintaining documentation standards. Requirements Proven experience designing and implementing big data solutions with Hadoop ecosystem components such as Apache Hive and Spark. Strong proficiency in cloud platforms including AWS (Amazon Web Services) and Azure Data Lake services. Extensive knowledge of SQL (Structured Query Language), with experience working on Microsoft SQL Server, Oracle, or similar relational databases. Hands-on experience with ETL tools like Informatica or Talend for efficient data integration workflows. Programming skills in Python, Java, Bash (Unix shell), or Shell Scripting for automation tasks. Familiarity with analytics tools such as Looker for visualization and reporting purposes. Understanding of database design principles along with expertise in linked data concepts for integrating diverse datasets. Knowledge of RESTful APIs for connecting different systems securely and efficiently. Experience working within Agile teams to deliver continuous improvements in a fast-moving environment. Strong analysis skills with the ability to interpret complex datasets to support strategic decisions. Join us if you’re passionate about transforming raw data into actionable insights! This role offers an exciting opportunity to work at the forefront of technology innovation while contributing meaningfully to our organization’s success through cutting-edge data engineering practices! Pay: $115,075.96 - $138,586.11 per year Benefits: 401(k) Health insurance Paid time off Work Location: In person