Senior Data Engineer at PureIntegration

We are looking for a Senior Data Engineer to join our Ad Tech Media practice. In this role, you will be collaborating with client stakeholders and pureIntegration business and technology consultants to design and build data strategies, capabilities, and products that solve core industry challenges.    The ideal candidate will have experience in areas such as data architecture as part of software projects, schema design, modeling, data architectures, data enrichment, profiling, lineage, and normalization.  Given this role’s focus in the Ad Tech industry, the ideal candidate will have either prior business-level understanding of ad tech data schemas or show the aptitude and desire to build this knowledge.   This role is expected to be hands-on while also driving architecture and design, with potential for oversight of work being done by data analysts or other junior team members.   This is a full-time Hybrid position. The annual base salary range is $130,000 – $150,000. Candidates will be paid within this range based on their work experience and skills. (NO C2C). Candidates are also eligible for our full list of benefits linked here. **MUST HAVE DATA ARCHITECTURE AND DATA PIPELINING EXPERIENCE**  Responsibilities:  • Using data architecture and engineering experience, drive meetings with customer counterparts to design end-to-end data flow to support new capabilities.  • Develop subject matter expertise in the business rules needed to drive data transformations necessary to support these capabilities.  • Use a combination of open-source, commercial, and cloud-native capabilities to design data architectures that both meet system design and performance requirements, but also do so with long-term cost and maintenance in mind.  • Perform data collection, analysis, validation, reporting, and visualizations to convey analysis and insights results.  • Work within a team of software, DevOps, and QA engineers to design, build, and test data-centric applications.  • Work in a team utilizing Agile methodologies, building and maintaining project backlog to enable data and software architecture, driving user stories, and enabling other engineering team members to be part of the build of new capabilities.  • Extract and analyze data from various sources, including databases, manual files, and other data sets (both structured and unstructured), normalize, and create supersets to perform analysis.  • Provide technical leadership both within the project team and guidance and knowledge transfer to end clients.  • Ability to think outside of the norm of tabular data. Ability to correlate data to define a business narrative.