[Remote] Data Engineer (6278)
Note: The job is a remote job and is open to candidates in USA. itD is a consulting and software development company that blends innovation and integrity with business results. The company is seeking a Data Engineer to build and maintain scalable data infrastructure supporting AI product analytics and topline metrics, while developing reliable pipelines, data quality frameworks, dashboards, and analytics solutions. The role also involves collaboration with cross-functional teams, troubleshooting data operations, and contributing to internal practice initiatives.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes supporting Company AI product analytics and topline metrics
- Develop and validate product logging, data quality, and monitoring frameworks to ensure reliable and accurate data
- Build dashboards and analytics reporting solutions that support product tracking, business insights, and decision-making
- Collaborate with data scientists, analysts, engineers, and cross-functional partners to deliver high-quality data solutions
- Leverage AI-native tools and workflows to accelerate data engineering development and improve team productivity
- Troubleshoot and resolve data pipeline, quality, and infrastructure issues while maintaining reliable data operations
- Document data workflows, processes, and best practices to support knowledge sharing and operational excellence
- Attend regular internal practice community meetings
- Collaborate with your itD practice team on industry thought leadership
- Complete client case studies and learning material (blogs, media material)
- Build out material to contribute to the Digital Transformation practice
- Attend internal itD networking events (in person and virtual)
- Work with leadership on career fast-track opportunities
Skills
- Proven experience in data engineering, including building and maintaining ETL/data pipelines
- Strong experience with SQL and Python for large-scale data engineering
- Experience building and validating product logging and data quality frameworks
- Experience developing dashboards and analytics reporting solutions
- Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Experience with at least one major cloud platform, such as AWS, GCP, or Azure
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
- Strong problem-solving, communication, collaboration, and attention-to-detail skills
- Prior Meta experience
- Familiarity with AI-native analytics and development tools
- Experience supporting AI, GenAI, or machine learning-focused products and data ecosystems
- Experience working with highly scalable data infrastructure supporting large consumer products
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience required
- 7+ years** of overall professional experience preferred
Benefits
- Comprehensive medical benefits
- A 401k plan
- Paid holidays
- Medical, dental, vision, and life insurance
- 401K + matching
- Networking and career learning and development programs
- Remote work
Company Overview