Principal Data Engineer

This role offers the opportunity to lead the design and evolution of scalable, reliable data platforms within a complex enterprise environment. You will shape data architecture, lead technical decisions, and build robust pipelines and ETL solutions that support critical business and reporting needs. The position combines hands-on engineering with technical leadership, mentoring, and cross-functional collaboration. You will work across cloud, data engineering, application, infrastructure, and network teams to deliver secure and high-performing solutions. The role also involves guiding projects through the full software development lifecycle, from requirements and design through testing and production deployment. This is a senior technical position suited to an experienced data engineer who enjoys solving complex data challenges and improving enterprise-scale platforms.

• Bachelor’s degree or foreign equivalent in Computer Science, Electronic Engineering, or a related field, followed by at least 7 years of progressive experience as a Senior Data Engineer, IT Consultant, or in a related role.
• At least 7 years of experience building data pipelines, data warehouse solutions, and frameworks supporting end-user reporting requirements.
• Strong experience gathering requirements, creating software designs, and developing efficient solutions within an Agile software development lifecycle.
• Proven ability to build data pipelines using diverse sources, including flat files, databases, APIs, and streaming applications.
• Hands-on experience building ETL and data warehousing solutions with IBM DataStage, Talend, and ODI.
• Strong experience designing data enrichment frameworks and processing large datasets using technologies such as Spark, Python, Talend, DataStage, ODI, Unix, PL/SQL, Teradata, AWS, and Java.
• Experience designing, developing, and automating ETL processes for data validation and reconciliation across multiple source systems.
• Proficiency with programming and scripting languages including Python, Unix, Java, JavaScript, C, and C++, including experience retrieving data from REST APIs and working with security keys.
• Extensive experience with AWS services, including S3, Glue, Athena, Lake Formation, Lambda, EC2, RDS, EMR, Redshift, and IAM, particularly for data migration and cloud-based processing.
• Experience working with cloud environments including AWS, Azure, and GCP and integrating cloud-based data with downstream systems.
• Experience developing and integrating APIs using REST web services.
• Familiarity with CI/CD tools such as Bitbucket, GitHub, and Jenkins.
• Strong technical leadership, communication, problem-solving, mentoring, and cross-functional collaboration skills.
• Ability to work remotely from any location within the United States.