Remote Senior Data Engineer

We are currently looking for a Senior Data Engineer who is passionate about building systems that collect, manage, and convert raw data into usable information for data scientists and data science analysts to interpret and help business leaders make data-driven decisions. In this role, the data engineer will be part of IT Data Delivery team and responsible for developing scalable solutions and building scalable systems by leveraging various AWS Cloud tools and technologies. Responsibilities: • Define data integration frameworks, methods, guidelines, and principles. Apply subject matter expertise to data integration processes to make improvements and recommendations. • Work with data architects, data engineers, analysts, and other stakeholders to design/build pipelines and cloud-based technical processes consistent and in support of the enterprise architecture direction to satisfy functional/non-functional requirements. • Design and develop scalable data pipelines and builds out new API integrations to support continuing increase in data needs, volume, and complexity. • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. • Works closely with all business units and other partner teams to develop strategy for long term data platform architecture. • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. • Administers and maintains existing data pipelines to their full extent of data needs. • Execute day-to-day development of data pipelines using continuous integration and continuous deployment practices. • Perform code reviews and provide feedback to the team. • Ensure compliance with data governance and security policies. • Willingness and ability to share knowledge and mentor team members on new technologies and platforms. Required skills: • Bachelor’s degree in Computer Science, Information Systems or related field, or an equivalent combination of education and work experience. • Minimum 5 years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and scripting. • Experience with AWS services including S3, Lambda, EMR, RDS, Glue, data pipeline, and other big data technologies. • Extensive data analysis and data design experience. • Experience with scripting (Python, PySpark experience is a strong plus). • Experience with Agile engineering practices and end-to-end automation of data delivery. • Ability to train/mentor other team members. • Ability to plan, coordinate, deliver and validate data engineering pipelines. • Ability to translate business and technical requirements into data engineering designs and solutions. EEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178. Apply tot his job