Data Engineer (6278)
itD is seeking a Data Engineer to build and maintain scalable data infrastructure that powers company AI product analytics and topline metrics across product surfaces.
About the role
The ideal candidate will bring strong experience in large-scale data engineering, SQL, Python, data quality, product logging, dashboards, and analytics, with a track record of delivering reliable data pipelines and solutions that support AI-driven products.
Location: Remote
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.
Internal Responsibilities
- 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.
Requirements
- 7+ years of overall professional experience preferred; candidates with less experience may be considered based on strong technical and interpersonal 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.
Preferred Qualifications
- 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.
Benefits
- Comprehensive medical benefits
- 401k plan
- Paid holidays
Schedule
40 hours per week, 5 days per week; no overtime
Duration: 9 Months, with possibility of extension only if the associated leave is extended
About itD
We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client.
Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries.
We are growing and we want to see you grow!