Data Engineer
Posted Updated
Description
This is a remote position.
REMOTE / WORK FROM HOME POSITION
Before applying, please note:
The entire application process must be completed in English. Fluent written and spoken English is required and will be evaluated.
Applicants must be independent freelancers, not represented by another agency.
WHO ARE WE? FOUNTAIN FORWARD
We are a hyper-motivated crew of internet marketing experts based in Houston, Texas. We're on a mission to provide truly profitable data-driven marketing solutions, primarily for The Automotive industry.
We love working together to accomplish one thing: persuade people to do business with our clients, and do it more often. Seeing our clients make more money and collaborating together to accomplish their goals is what drives us to slam down a couple of espressos every morning and fire up our brain cells.
Job Overview / Purpose Statement
The Data Engineer designs, builds, and maintains data infrastructure to support digital marketing strategies. Working closely with analysts, CSMs, and cross-functional teams, this role ensures data is collected, stored, and processed efficiently and accurately. It also supports the growth of the Data Management & Visualization team by developing scalable pipelines, ensuring quality, and preparing data for dashboards and reporting.
Responsibilities & Duties
Database Management:
- Develop, test, and maintain scalable data pipelines to ingest, clean, and transform data from various sources (e.g., CRM systems, Google Analytics, Ad platforms, inventory feeds).
- Assist in designing, implementing, and maintaining databases to support business needs.
- Optimize data storage solutions using databases, data warehouses, and cloud services (e.g., Google Cloud).
- Monitor and ensure the integrity, accuracy, and consistency of database data.
- Perform database performance optimization and troubleshoot issues as they arise.
ETL Processes:
- Understand the data flow for the client data to implement new extraction techniques.
- Develop and maintain ETL workflows to collect, transform, and load data into appropriate storage solutions.
- Automate data pipelines to ensure timely and efficient data processing.
- Collaborate with cross-functional teams to understand data requirements and implement solutions.
Data Quality Assurance:
- Conduct regular data audits to identify and resolve data inconsistencies or inaccuracies.
- Implement and monitor processes to maintain high data quality standards.
- Collaboration Impact: Positive feedback from team members and stakeholders on data readiness.
Support for Visualization:
- Prepare data for use in dashboards and visualizations.
- Collaborate with the analytics to ensure data is structured and available for reporting needs.
Collaboration:
- Work closely with senior team members and leadership to align data processes with business goals.
- Provide support for data-related issues raised by internal stakeholders.
- Participate in code reviews and provide constructive feedback to improve processes.
Requirements
Required Skills & Qualifications
Education:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).
Technical Skills:
- Basic knowledge of database technologies (e.g., SQL, NoSQL).
- Familiarity with ETL tools and processes (e.g., Apache Airflow, Talend, or custom Python scripts).
- Understanding data formats (e.g., JSON, CSV, XML) and APIs.
- Proficiency in a programming language such as Python or SQL.
- Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
Soft Skills:
- An analytical mindset and strong attention to detail.
- Strong problem-solving and critical-thinking abilities.
- Willingness to learn and adapt to new tools and technologies.
- Effective communication and teamwork skills to collaborate with cross-functional teams.
Preferred Experience & Competencies
- Must be proficient in English (written and verbal)
- Strong problem-solving, quantitative, and analytical abilities.
- Excellent communication, collaboration, and delegation skills.
- Familiarity with Agile methodologies (Scrum/Kanban).
- Knowledge of AI/ML integration basics.
- Ability to work independently and align with a remote team in CST hours
OUR HIRING PROCESS
1. Application Review
2. Initial Interview
3. Skills Assessment
4. Final Interview
How We Work
The Perks!