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. 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
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
Pay Rate: Market Rate, depending on experience.
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
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.
Required Qualifications and Skills
- 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 and 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.
Education
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience required.
Company Description
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. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.
The itD Digital Experience: 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. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at [email protected] and let us know the nature of your request and your contact information.
Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!
Skills Required
- Proven experience in data engineering, including building and maintaining ETL/data pipelines
- Strong experience with SQL
- Strong experience with Python
- 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 (AWS, GCP, or Azure)
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
- Strong problem-solving, communication, collaboration, and attention-to-detail skills
- 7+ years of overall professional experience (preferred)
- 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
What We Do
itD is a different kind of technology and software development consultancy that puts client needs at the center of what we do. We combine the experience of a full-service consultancy with the agility of a specialized firm to help clients reimagine and improve operations and solve challenges unique to their business. Founded in 2005, we are headquartered in Silicon Valley and are honored to have long term partnerships with many of the world’s leading enterprise technology firms. With onshore, nearshore and offshore capability centers we are able to provide seamless global reach. We define ourselves by solving the toughest challenges in business. To tackle these challenges, we deploy the best people armed with the best technology to help our clients by enabling next-generation experiences, transforming tech operations, leveraging BI and analytic depth to convert data to advantage, delivering advanced DevOps and software development services and unlocking the potential of AI. Our mantra as itD is “Innovate Transform Deliver” and as a proud woman- and minority-owned business, we are focused on delivering a unique perspective and approach that attracts a robust and diverse talent pool. We believe this diversity of talent, thinking and perspective leads to better outcomes for our clients and a positive impact in our communities through our focus on giving back initiatives. We invite you to bring us the challenges no one else can solve. Because while other firms might give up, pivot, or pass… Impossible drives us. Certified Woman Owned - WBENC
