Data Engineer - Contract

November 9

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Software Reviews • Demand Generation • Online Marketing • Content Syndication • B2B Lead Generation

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Description

• As a Data Engineer with a focus on data architecture and pipeline management, you’ll be at the forefront of building, maintaining, and optimizing our data infrastructure to support robust, scalable analytics. • This role centers on ensuring a seamless flow of data across diverse digital marketing sources, supporting critical operational analytics for our Operations, Sales, Client Success, and Audience Development teams. • Your work will empower the organization to make informed decisions through reliable, high-quality data. • You’ll architect and manage resilient data systems, troubleshoot complex data issues, and continuously improve data processes. • By enabling automated, end-to-end data flows, you'll help drive insights that optimize digital performance and strengthen our strategic initiatives. • Success in this role requires strong data engineering skills with a deep focus on pipeline automation, data accuracy, and scalability.

Requirements

• 7+ years of expertise with SQL, particularly in Redshift and BigQuery, for querying, transforming, and managing large datasets, with additional experience in Python for data processing and automation. • Proficient with data visualization tools like Tableau, Looker, or Power BI to create dashboards that effectively communicate complex data to stakeholders. • Skilled in leveraging DBT (Data Build Tool) for data transformations, source control, and collaborative workflows, creating efficient, scalable data pipelines. • Strong knowledge of data pipeline automation and experience in maintaining ETL/ELT processes for high-volume, multi-source data environments. • Experience in establishing strong database architecture and implementing data governance practices to ensure data integrity, accessibility, and compliance. • Analytical and problem-solving skills with the ability to interpret and synthesize data into actionable insights for both technical and non-technical audiences. • Understanding of statistical analysis, predictive modeling, and machine learning, with the ability to apply these techniques to support advanced insights and forecasting. • Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward