Hi, we’re TechnologyAdvice.
At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology.
Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 500 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO.
All positions are open to remote work unless otherwise specified in the requirements below.
The opportunity
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.
Employment Level : Senior
Employment Type: Contract
Location: Philippines
Working Hours: 2:00 pm - 11:00 pm IST
What you'll do
- Develop, maintain, and optimize data pipelines and ETL/ELT processes using Redshift, BigQuery, and other data systems to support digital marketing and operational reporting needs.
- Design and manage data architectures that ensure efficient cross-channel integration, enabling a comprehensive view of marketing and digital performance.
- Utilize APIs, data connectors, and automation tools to facilitate the ingestion, transformation, and reliable flow of data across sources such as websites, social media, email campaigns, and advertising platforms.
- Build and maintain robust data models to improve reporting accuracy and empower decision-making across business units, especially in digital and marketing analytics.
- Collaborate with cross-functional teams to develop and sustain analytical frameworks that align data structures with evolving business needs.
- Clean, preprocess, and transform raw data to ensure consistency and integrity, effectively handling missing values, anomalies, and inconsistencies.
- Actively monitor and troubleshoot data pipelines, ensuring high data quality, reducing disruptions, and responding quickly to any issues.
- Conduct exploratory data analysis (EDA) to uncover trends and patterns, enabling actionable insights and enhancing understanding of campaign performance.
- Support campaign optimization by creating predictive models, forecasting trends, and analyzing customer behavior using statistical and machine learning techniques where applicable.
- Design and build interactive dashboards and reports in Tableau, Looker, or other visualization tools to deliver real-time insights to stakeholders, ensuring metrics are both clear and actionable.
Who you are
- 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
#LI-Remote
*Please note that, as this is a contract position, there are no perks or benefits included with this role.
Work authorization
Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the Philippines at hire and must maintain authorization to work in the Philippines throughout their employment with our company.
Salary Range
We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor.
EOE statement
We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.
Pre-employment screening required.
TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation.
Any AI-generated or incomplete application answers will be auto-rejected.
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